Google Cloud Certification

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Platform Fundamentals Course Outline:

Module 1: Introduction to Google Cloud Platform

  • Overview
  • Google Cloud Infrastructure
  • Google Cloud Platform Services
  • GCP Regions and Zones
  • Edge Caching
  • Cloud Content Delivery Network

Module 2: Setting Up Accounts and Billing

  • Google Cloud Platform Accounts
  • Billing Accounts
  • Projects
  • Admin Setup

Module 3: Networking

  • Google Cloud Platform Networks
  • Subnets
  • Routes
  • Firewall Rules
  • VMs in Networks
  • Add VMs, Explore the Default Network, and Test Connectivity

Module 4: Working with VM Instances

  • Google Compute Engine Machine Types
  • Instances
  • Persistent Disks
  • Local SSDs
  • Preemptible VMs
  • VM and Web App Deployment
  • Deploy VMs with an App by Console and Command-Line

Module 5: Scaling and Load Balancing Apps

  • Google Compute Engine Instance Templates
  • Managed Instance Groups and Load Balancing
  • Autoscaling and Load Balancing Setup
  • Lab: Scale and Load Balance Instances and Test Under Load

Module 6: Isolating Instances and Apps

  • 3-Tier Web App in GCP
  • Custom Network with Custom Subnets and Firewall Rules
  • Lab: Build a 3-Tier Web App with Public Front-End and Private Backend

Module 7: Using Storage as a Service and Database as a Service

  • Google Cloud Storage and Google Cloud SQL
  • Lab: Use Gsutil Command-Line Tool to Perform Operations on Buckets and Objects
  • Lab: Load and Analyse Data in BigQuery

Module 8: Deployment and Monitoring

  • Google Cloud Deployment Manager, Google StackDriver
  • Lab: Deploy Your Infrastructure Using Deployment Manager

Show moredown

Who should attend this Google Cloud Platform Fundamentals Course?

This Google Cloud Platform Fundamentals Course in in the United States is ideal for anyone looking to gain a foundational understanding of Google Cloud services and how they can be applied in various professional contexts. This course can benefit various professionals such as:

  • Cloud Engineers
  • Data Engineers
  • System Administrators
  • Solution Architects
  • Software Developers
  • Business Analysts
  • Technical Managers

Prerequisites of the Google Cloud Platform Fundamentals Course

There are no formal prerequisites for this Google Cloud Platform Fundamentals Course.

Google Cloud Platform Fundamentals Course Overview

The Google Cloud Platform Fundamentals Course in in the United States is an essential entry point for professionals aspiring to navigate the dynamic landscape of cloud computing. This training offers a comprehensive understanding of Google Cloud, encompassing its architecture, services, and deployment models. With the digital transformation driving industries, proficiency in Google Cloud has become paramount for businesses seeking scalable, secure, and innovative solutions.

Proficiency in Google Cloud Platform in in the United States is indispensable for IT professionals, developers, and aspiring cloud architects. Mastery of this subject empowers individuals to harness the potential of cloud technology, enabling seamless infrastructure management, application development, and data analytics. Organizations keen on optimizing operations, enhancing security, and fostering innovation rely on expert’s adept in Google Cloud.

This intensive 1-day Google Cloud Platform Fundamentals Training in in the United States empowers delegates with hands-on experience in leveraging Google Cloud's functionalities. Delegates gain practical insights into deploying applications, managing infrastructure, and optimizing performance, fostering the expertise required to tackle real-world cloud challenges. Through interactive sessions and practical exercises, individuals acquire foundational knowledge crucial for harnessing Google Cloud’s capabilities.

Course Objectives:

  • To understand the fundamentals of the Google Cloud Platform
  • To explore core services like Compute Engine, Storage, and BigQuery
  • To learn to deploy applications on Google Cloud
  • To gain insights into managing and configuring Google Cloud resources
  • To understand the basics of networking in Google Cloud
  • To familiarize oneself with security and identity management
  • To grasp cost management and billing in Google Cloud
  • To prepare for further specialized Google Cloud Certifications

After completing the Google Cloud Platform Fundamentals Course in in the United States, delegates receive a certification validating their foundational understanding of Google Cloud technologies. This certification serves as a testament to their proficiency, enhancing career prospects and validating their expertise in effectively utilizing Google Cloud services for diverse business needs.

Show moredown

What’s included in this Google Cloud Platform Fundamentals Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Platform Fundamentals Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (3 days)

Online Self-paced (24 hours)

Architecting Infrastructure with Google Cloud Platform Training Course Outline

Module 1: Introduction to Google Cloud Platform

  • Introduction to Google Cloud Platform
  • Google Cloud Infrastructure
  • Google Cloud Platform Services
  • GCP Regions and Zones
  • Edge Caching
  • Cloud Content Delivery Network

Module 2: Setting Up Accounts and Billing

  • Google Cloud Platform Accounts
  • Billing Accounts
  • Projects
  • Admin Setup

Module 3: Working with VM Instances

  • Google Cloud Platform Networks
  • Subnets
  • Routes
  • Firewall Rules
  • Google Compute Engine Machine Types
  • Instances
  • Persistent Disks
  • Local SSDs
  • Preemptible VMs
  • VM and Web App Deployment
  • Deploy VMs with an App by Console and Command-Line

Module 4: Using Storage as a Service and Database as a Service

  • Google Cloud Storage
  • Google Cloud SQL
  • Lab: Use Gsutil Command-Line Tool to Perform Operations on Buckets and Objects
  • Lab: Load and Analyse Data in BigQuery

Module 5: Deployment and Monitoring

  • Google Cloud Deployment Manager
  • Google StackDriver
  • Lab: Deploy Your Infrastructure Using Deployment Manager

Module 6: System Design of Google Cloud Architecture Framework

  • What is Google Cloud Architecture Framework?
  • Select Zones and Regions
  • Manage Cloud Resources
  • Choose and Manage Compute
  • Design Network Infrastructure
  • Implement Storage Strategy
  • Optimize Database
  • Analyse Data
  • Implement Machine Learning

Module 7: Operational Excellence

  • Overview
  • Automate Deployments
  • Set Up Monitoring, Alerting, and Logging
  • Establish Cloud Support and Escalation Processes
  • Manage Capacity and Quota
  • Plan for Peak and Launch Events
  • Create a Culture of Automation

Module 8: Security, Privacy, and Compliance

  • Overview
  • Security Principles
  • Manage Risk with Controls and Assets
  • Manage Identity and Access
  • Implement Compute and Container Security
  • Secure Network
  • Implement Data Security
  • Deploy Applications Securely
  • Manage Compliance Obligations
  • Implement Data Residency and Sovereignty Requirements
  • Implement Privacy Requirements
  • Implement Logging and Detective Controls

Module 9: Cost Optimization

  • Overview of Cost Optimization
  • Adopt and Implement FinOps
  • Monitor and Control Cost
  • Compute, Containers, and Serverless
  • Storage
  • Databases and Smart Analytics
  • Networking
  • Cloud Operations
  • Performance Optimization

Module 10: Load Balancing and Autoscaling

  • Load Balancing
  • Managed Instance Groups
  • Autoscaling Policy
  • Cool Down Period
  • Stabilization Period
  • Autoscaling Mode
  • Predictive Autoscaling
  • Scale-in Controls
  • Recommended Size

Module 11: Automating Infrastructure with Cloud Composer

  • Defining the Architecture
  • Scaling the Workflow
  • Setting Up a Sample Compute Engine Instance

Show moredown

Who should attend this Architecting Infrastructure with Google Cloud Platform Training Course?

The Architecting Infrastructure with Google Cloud Platform Training in in the United States is designed for those who want to get better at Solution Architecture, Cloud Engineering, and implementing infrastructure solutions using Google Cloud Platform (GCP). This course can be especially beneficial for the following professionals:

  • Cloud Engineers
  • Data Engineers
  • DevOps Engineers
  • Solution Architects
  • Cloud Strategy Managers
  • Solution Designers
  • Network Engineers

Prerequisites of the Architecting Infrastructure with Google Cloud Platform Training Course

There are no formal prerequisites for this Architecting Infrastructure with Google Cloud Platform Course.

Architecting Infrastructure with Google Cloud Platform Training Course Overview

As businesses increasingly migrate to cloud-based solutions, proficiency in Google Cloud Platform Training in in the United States becomes imperative. This course delves into the core concepts, strategies, and tools within Google Cloud, providing an essential foundation for architects and IT professionals. Understanding the infrastructure of Google Cloud is pivotal as it empowers professionals to design, manage, and optimize robust cloud solutions efficiently.

Proficiency in Google Cloud in in the United States is vital for IT architects, cloud engineers, and system administrators aiming to master the intricacies of cloud infrastructure. This knowledge equips them to design scalable, secure, and high-performing solutions on the Google Cloud Platform, enhancing their career prospects and enabling them to drive organizational success.

In this intensive 3-day Architecting Infrastructure with Google Cloud Platform Training Course in in the United States, delegates will gain hands-on experience and in-depth insights into architecting infrastructure on Google Cloud. From understanding core principles to implementing best practices, delegates will grasp the nuances of infrastructure design, deployment, and optimization on the platform. Practical exercises and real-world scenarios ensure a comprehensive learning experience.

Course Objectives:

  • To comprehend the fundamental principles of Google Cloud infrastructure
  • To design scalable and resilient architectures using Google Cloud services
  • To implement security and compliance best practices within Google Cloud environments
  • To optimize performance and cost efficiency in Google Cloud deployments
  • To explore advanced tools and techniques for infrastructure management on Google Cloud
  • To troubleshoot common issues and challenges in Google Cloud infrastructure
  • To create reliable, high-availability systems using Google Cloud technologies
  • To prepare delegates for successful Google Cloud Platform Certification

After completing this course in in the United States, delegates receive a certificate of completion, validating their proficiency in architecting infrastructure with the Google Cloud Platform. This certification serves as a testament to their expertise and enhances their credibility, opening doors to new opportunities.

Show moredown

What’s included in this Architecting Infrastructure with Google Cloud Platform Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Architecting Infrastructure with Google Cloud Platform Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (3 days)

Online Self-paced (24 hours)

Data Engineering with Google Cloud Platform Training Course Outline

Module 1: Google Cloud Dataproc Overview

  • Dataproc Overview
  • Creating and Managing Clusters
  • Custom Machine Types and Preemptible Worker Nodes
  • Scaling and Deleting Clusters
  • Creating Hadoop Clusters with Google Cloud Dataproc

 

Module 2: Running Dataproc Jobs

  • Running Pig and Hive Jobs
  • Separation of Storage and Compute
  • Running Hadoop and Spark Jobs with Dataproc
  • Submit and Monitor Jobs

 

Module 3: Integrating Dataproc with Google Cloud Platform

  • Customize Cluster with Initialization Activities
  • BigQuery Support
  • GCP Services

 

Module 4: Unstructured Data with Google’s Machine Learning APIs

  • Machine Learning APIs
  • Use Cases of ML
  • Adding Machine Learning Capabilities to Big Data

 

Module 5: Serverless Data Analysis with BigQuery

  • BigQuery Overview
  • Functions and Queries
  • Writing Queries in BigQuery

 

Module 6: Serverless, Autoscaling Data Pipelines with Dataflow

  • Beam Programming Model Overview
  • Data Pipelines
  • Writing a Dataflow Pipeline
  • Scalable Big Data Processing Using Beam
  • MapReduce in Dataflow
  • Phases in MapReduce in Dataflow
  • Steps of Dataflow
  • Incorporating Additional Data
  • Side Inputs in Apache Beam
  • Querying Multiple Tables

 

Module 7: Getting Started with Machine Learning

  • What is Machine Learning (ML)?
  • Types of Machine Learning
  • Explore and Create ML Datasets

 

Module 8: Building ML Models with TensorFlow

  • Understand TensorFlow
  • TensorFlow Graphs and Loops
  • Use Low-Level TensorFlow
  • Monitoring ML Training
  • Charts and Graphs of TensorFlow

 

Module 9: Scaling ML Models with CloudML

  • Cloud ML Overview
  • TensorFlow Model
  • Running of ML Model

 

Module 10: Architecture of Streaming Analytics Pipelines

  • Understand Stream Data Processing
  • Handling Variable Data Volumes
  • Designing a Streaming Pipeline

 

Module 11: Ingesting Variable Volumes

  • Cloud Pub/Sub Overview
  • Working of Cloud Pub/Sub

 

Module 12: Implementing Streaming Pipelines

  • Stream Processing Overview
  • Watermark
  • Triggers

 

Module 13: Streaming Analytics and Dashboards

  • Streaming Analytics Overview
  • Querying Streaming Data with BigQuery
  • Google Data Studio Overview

 

Module 14: High Throughput and Low-Latency with Bigtable

  • Cloud Spanner Overview
  • Designing Bigtable Schema
  • Ingesting into Bigtable
  • Streaming into Bigtable

Show moredown

Who should attend this Data Engineering with Google Cloud Platform Course?

The Data Engineering with Google Cloud Platform Course in in the United States is valuable training for those who want to get better at data management and processing while using Google Cloud Platform Services (GCP). The Data Engineering with Google Cloud Platform Course can benefit professionals such as:

  • Cloud Engineers
  • Data Engineers
  • BI Developers
  • ETL Developers
  • Data Managers
  • Data Architects
  • Big Data Engineers

Prerequisites of the Data Engineering with Google Cloud Platform Course

There are no formal prerequisites for this Data Engineering with Google Cloud Platform Course.

Data Engineering with Google Cloud Platform Course Overview

Data Engineering with Google Cloud Platform in in the United States is pivotal in today's tech landscape. As organizations increasingly rely on data-driven insights, mastering this subject becomes crucial. This course delves into leveraging Google Cloud's robust infrastructure for managing, processing, and optimizing data, making it a cornerstone in cloud-based data engineering solutions.

Google Cloud's data engineering proficiency in in the United States is pivotal for data architects, engineers, and analysts. With data becoming the lifeblood of decision-making, mastering this subject empowers professionals to architect scalable, efficient, and secure data pipelines crucial for any data-centric enterprise.

This intensive 3-day training in in the United States is designed to equip delegates with practical skills in deploying Google Cloud's suite for data engineering. Delegates will learn to leverage tools like BigQuery, Dataflow, and Dataprep to architect and manage data pipelines efficiently, enabling them to tackle real-world data challenges confidently.

Course Objectives:

  • To comprehend the fundamentals of data engineering in the Google Cloud environment
  • To proficiently employ Google Cloud services for data storage, processing, and analysis
  • To design and implement robust data pipelines using Google Cloud tools
  • To optimize data engineering workflows for enhanced efficiency and scalability
  • To gain expertise in managing and transforming large datasets on the Google Cloud Platform
  • To understand best practices for data security and compliance on Google Cloud
  • To develop skills in troubleshooting and optimizing data solutions within Google Cloud
  • To apply learned concepts to real-world scenarios, fostering practical proficiency in data engineering with Google Cloud

After completing this course in in the United States, delegates will receive a certification, validating their expertise in data engineering on the Google Cloud Platform. Mastering Google Cloud Courses like this one solidifies one's foundation in data engineering, making them an asset in today's data-driven world.

Show moredown

What’s included in this Data Engineering with Google Cloud Platform Course?

  • World-Class Training Sessions from Experienced Instructors
  • Data Engineering with Google Cloud Platform Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Networking with Google Cloud Platform Course Outline

Module 1: Google Cloud VPC Networking Fundamentals

  • Default, Auto, and Custom Networks
  • Understanding Networks and Subnets
  • IPv4 addresses
  • Cloud Domain Name System (DNS)
  • Creating Compute Engine Instances with IP Aliases
  • Creating Compute Engine Instances with Multiple Virtual Network Interfaces

Module 2: Controlling Access to VPC Networks

  • Understanding IAM Policies
  • Controlling Access to Network Resources
  • Controlling Access to Compute Engine Instances with Tag-Based Firewall Rules

Module 3: Sharing Networks Across Projects

  • Configuring Shared VPC
  • Differentiating IAM Roles
  • Configuring Peering Between Unrelated VPC Networks
  • Shared VPC and VPC Peering

Module 4: Load Balancing

  • Load Balancing Services
  • Explaining Layer 7 HTTP(S) Load Balancing
  • Cloud Armor and CDN
  • Configuring Internal Load Balancing

Module 5: Hybrid Connectivity

  • Hybrid Connectivity Overview
  • GCP Interconnect and Peering Services
  • Dedicated Interconnect and Partner Interconnect
  • VPN with Cloud Router
  • Direct and Partner Peering

Module 6: Network Design and Deployment

  • Network Design Patterns
  • Understanding the Deployment Manager
  • Explaining and Configuring Network Solutions

Module 7: Network Monitoring and Troubleshooting

  • Network Monitoring and Troubleshooting Overview
  • Configuring Uptime Checks, Alerting Policies, and Charts
  • Understanding VPC Flow Logs
  • Analyzing Network Traffic

Show moredown

Who should attend this Networking with Google Cloud Platform Course?

The Networking with Google Cloud Platform Course in in the United States is aimed at professionals who want to get better at Network Management while using Google Cloud Platform Services (GCP). The Networking with Google Cloud Platform Course can benefit professionals such as:

  • Cloud Engineers
  • Network Engineers
  • Network Administrators
  • DevOps Engineers
  • Cloud Consultants
  • System Administrators
  • Solution Architects

Prerequisites of the Networking with Google Cloud Platform Course

There are no formal prerequisites for this Networking with Google Cloud Platform Course.

Networking with Google Cloud Platform Course Overview

Networking with Google Cloud Platform Training in in the United States is pivotal in today’s tech landscape. Understanding how to navigate and optimize networking structures within the courses is crucial for professionals aspiring to excel in cloud-based infrastructures. Networking with the Google Cloud Platform introduces key concepts and strategies to leverage the platform's networking capabilities efficiently.

Proficiency in Google Cloud in in the United States Networking is vital across various industries. IT professionals, network engineers, and cloud architects should aim to master this subject to ensure seamless operations, enhanced security, and optimized performance within their cloud infrastructure. Mastery empowers professionals to design, implement, and troubleshoot robust networking solutions with Google Cloud Platform Certification.

This intensive 1-day course in in the United States provides delegates with hands-on experience configuring, securing, and managing networking environments on Google Cloud. Delegates gain practical skills in setting up virtual private clouds (VPCs), establishing connectivity, implementing network security policies, and optimizing network performance, fostering their capability to implement real-world solutions effectively.

Course Objectives:

  • To understand the fundamentals of networking within the Google Cloud Platform
  • To configure and manage Virtual Private Clouds (VPCs) effectively
  • To implement robust network security measures using Google Cloud's tools
  • To optimize network performance and troubleshoot networking issues
  • To explore advanced networking features like hybrid connectivity and peering
  • To gain practical experience through hands-on labs and real-world scenarios
  • To develop skills necessary for designing scalable and resilient networking architectures within Google Cloud
  • To prepare delegates for the Google Cloud Networking Certification exam

After completing the Google Cloud Networking Course in in the United States, delegates receive a certification showcasing their expertise in Google Cloud's networking capabilities. This certification validates their proficiency and is a valuable asset in their professional journey, opening doors to new opportunities and validating their knowledge in the domain.

Show moredown

What’s included in this Networking with Google Cloud Platform Course?

  • World-Class Training Sessions from Experienced Instructors
  • Networking with Google Cloud Platform Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Online Self-paced (16 hours)

Google BigQuery Training Course Outline

Module 1: Interacting with BigQuery

  • Introduction to BigQuery
  • BigQuery Sandbox and Web UI
  • Command-Line Tools
  • BigQuery Classic Web UI

Module 2: Running and Managing Jobs

  • Introduction
  • Running Jobs Programmatically
  • Managing Jobs

Module 3: Working with Datasets

  • Define Datasets
  • Dataset Locations
  • Creating and Copying Datasets
  • Controlling Access to Datasets
  • Listing Datasets
  • Updating Dataset Properties
  • Managing Datasets
  • Availability and Durability

Module 4: Working with Table Schemas

  • Specifying a Schema
  • Specifying Nested and Repeated Columns
  • Modifying Table Schemas
  • Manually Changing Table Schemas

Module 5: Working with Tables

  • Managing Tables and Table Data
  • Exporting Table Data
  • Updating Table Data Using DML

Module 6: Working with Partitioned Tables

  • What are Partitioned Tables?
  • Creating Ingestion-Time Partitioned Tables
  • Creating Date/Time Partitioned Tables
  • Managing and Querying Partitioned Tables
  • Using DML with Partitioned Tables

Module 7: Working with Clustered Tables

  • Define Clustered Tables
  • Creating and Using Clustered Tables

Module 8: Working with Views

  • Introduction to Views
  • Creating a View
  • Controlling Access to Views
  • Creating Authorized Views
  • Listing Views
  • Updating View Properties
  • Managing Views

Module 9: Labeling BigQuery Resources

  • Adding Labels
  • Viewing Labels
  • Updating Labels
  • Filtering Using Labels
  • Deleting Labels

Module 10: Loading Data into BigQuery

  • Loading Data from Cloud Storage
  • Loading Data from Local File

Module 11: Querying BigQuery Data

  • Running Interactive and Batch Queries
  • Writing Query Results
  • Using Cached Results
  • Querying Data Using a Wildcard Table
  • Saving and Sharing Queries
  • Scheduling Queries
  • Using the Query Plan Explanation

Module 12: Querying External Data Sources

  • Querying Cloud Bigtable
  • Querying Google Cloud Drive Data

Module 13: Controlling BigQuery Costs

  • Estimating Storage and Query Costs
  • Custom Cost Controls

Module 14: Securing BigQuery Resources

  • Encryption at Rest
  • Using Cloud DLP to Scan BigQuery Data

Module 15: BigQuery API Basics

  • Authentication
  • Batch Requests
  • Paging Through Tables
  • API Performance Tips

Show moredown

Who should attend this Google BigQuery Training Course?

The Google BigQuery Training Course in in the United States is ideal for professionals who want to get better at Serverless Data Warehouse solutions through Google BigQuery. This Google BigQuery Course can benefit the following professionals:

  • Data Analysts
  • Data Engineers
  • Data Scientists
  • Database Administrators
  • Solution Architects
  • ETL Developers
  • Business Analysts

Prerequisites of the Google BigQuery Training Course

There are no formal prerequisites for this Google BigQuery Training Course.

Google BigQuery Training Course Overview

Google BigQuery Training in in the United States introduces delegates to the powerful data analytics platform Google Cloud offers. In today's data-driven landscape, harnessing BigQuery's capabilities is pivotal. This course delves into the intricacies of handling massive datasets efficiently and extracting valuable insights, making it indispensable for professionals seeking proficiency in data analysis and cloud computing.

Proficiency in Google Cloud Certifications in in the United States, specifically BigQuery, is crucial for data engineers, analysts, and IT professionals working with extensive datasets. Mastering this certification in BigQuery enables them to navigate complex data queries, optimize performance, and leverage advanced analytics tools. Professionals aspiring to elevate their careers in data analytics or cloud computing should prioritize mastering this technology.

This intensive 1-day Google Cloud Course in in the United States empowers delegates with hands-on experience utilizing BigQuery's functionalities. Delegates will learn to execute complex queries, manipulate data efficiently, and interpret results effectively. The training provides a comprehensive understanding of BigQuery's architecture, ensuring attendees can maximize its data analysis and decision-making potential.

Course Objectives:

  • To familiarize delegates with the foundational concepts of Google BigQuery
  • To equip delegates with hands-on experience in querying and analyzing data using BigQuery
  • To demonstrate advanced querying techniques for optimized performance
  • To enable participants to design scalable data models within the Google Cloud environment
  • To explore best practices for efficient data manipulation and transformation
  • To empower attendees with the skills to interpret and visualize BigQuery results effectively
  • To provide insights into integrating BigQuery with other Google Cloud services
  • To offer practical guidance on optimizing queries for cost-efficiency and performance

After completing the course in in the United States, delegates receive a certification attesting to their expertise in utilizing Google BigQuery. This certification serves as a testament to their proficiency in handling large datasets, optimizing queries, and leveraging Google Cloud's powerful analytics tools to drive informed decision-making within their organizations.

Show moredown

What’s included in this Google BigQuery Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google BigQuery Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Introduction to Google Cloud Security Course Outline

Module 1: Introduction

  • Introduction to Google Cloud Security
  • Google Cloud Foundation Security Model
  • Google Cloud Foundation Design

Module 2: Project Deployment

  • Project Labels
  • IAM Permissions
  • Google Cloud APIs
  • Google Cloud Platform Projects

Module 3: Resource Deployment

  • Repository Structure
  • Foundation Creation and Branching
  • Foundation Pipeline and Workloads
  • Infrastructure Pipeline
  • Application Pipeline

Module 4: Authentication and Authorization

  • Cloud Identity, Directory Provisioning, and Single Sign-on
  • Users and Groups
  • Privileged Identities

Module 5: Networking

  • Shared VPC
  • Hub-and-Spoke
  • IP Address Space Allocation
  • DNS Setup
  • Hierarchical Firewall Policies and VPC Firewall Rules

Module 6: Cloud Key Management

  • Cloud KMS
  • Cloud KMS Resource Organization and Access Control
  • Cloud KMS Infrastructure Decisions
  • Customer-Managed Encryption Keys (CMEK)
  • Importing Keys into Cloud KMS

Module 7: Secret Manager and Logging

  • Secret Manager Infrastructure Decisions
  • Secret Manager Content Decisions
  • Logging and Monitoring

Module 8: Detective Controls

  • Security Command Center
  • Security Sources
  • Setting up Basic Security Alerting
  • Vulnerability and Drift Detection
  • Active Threat Detection

Show moredown

Who should attend this Introduction to Google Cloud Security Course?

The Introduction to Google Cloud Security Training Course in in the United States is designed for those who want to get better at cloud-based security administration and management for the Google Cloud Platform (GCP). This Google Cloud Computing Training can especially be beneficial to the following professionals:

  • Cloud Security Professionals
  • IT Security Managers
  • System Administrators
  • Solution Architects
  • DevOps Engineers
  • Security Auditors
  • Network Administrators

Prerequisites of the Introduction to Google Cloud Security Course

There are no formal prerequisites for this Introduction to Google Cloud Security Course.

Introduction to Google Cloud Security Course Overview

Google Cloud Training in in the United States offers a comprehensive understanding of securing data and systems within the Google Cloud infrastructure. Safeguarding sensitive information is paramount. This course delves into the intricacies of Google Cloud Security, addressing the significance of protecting data, applications, and networks hosted on Google Cloud. Understanding these concepts is crucial for professionals involved in cloud architecture, cybersecurity, and data management, as it empowers them to fortify digital assets against evolving threats.

Proficiency in Google Cloud Security in in the United States is indispensable for professionals working in cloud computing, cybersecurity, and data management. Mastery of this subject ensures a robust skill set to mitigate risks, secure sensitive information, and maintain compliance within the Google Cloud environment. IT administrators, security analysts, and cloud architects aiming to bolster their expertise in safeguarding cloud-based infrastructures should prioritize mastering Google Cloud Security.

This 1-day Google Cloud Course in in the United States offers delegates a concise yet comprehensive understanding of Google Cloud Security essentials. Through practical sessions and theoretical modules, delegates gain hands-on experience in implementing security measures, configuring access controls, and employing encryption techniques within Google Cloud. The training equips delegates with the knowledge and skills necessary to proactively address security challenges in a Google Cloud environment.

Course Objectives:

  • To comprehend the fundamental principles of Google Cloud Security
  • To implement robust security measures within Google Cloud environments
  • To configure access controls and identity management solutions effectively
  • To employ encryption and key management techniques proficiently
  • To assess and mitigate potential security threats within Google Cloud infrastructure
  • To ensure compliance and governance adherence within Google Cloud environments

After completing this Google Cloud Security Course in in the United States, delegates receive a certification, validating their expertise in securing data and systems within the Google Cloud infrastructure. This certification serves as a testament to their proficiency and knowledge in Google Cloud Security, enhancing their credibility and career prospects in cloud computing and cybersecurity domains.

Show moredown

What’s included in this Introduction to Google Cloud Security Course?

  • World-Class Training Sessions from Experienced Instructors
  • Introduction to Google Cloud Security Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Online Self-paced (16 hours)

Google Search Appliance Fundamentals Course Outline

Module 1: Introduction of Google Search Appliance

  • Google Search Appliance
  • On-Board File System Crawling
  • On-Board Database Crawler
  • Google Apps Integration
  • What is Universal Search?
  • Providing Universal Search with a Google Search Appliance

Module 2: Setting Up

  • Installing and Configuring a Search Appliance
  • Configuring Search Appliances for Load Balancing or Failover
  • Administrator and Manager Accounts
  • Setting Up User Accounts

Module 3: Crawling

  • What Content is Not Crawled?
  • Configuring Crawl of Public Content
  • Configuring Crawl of Controlled-Access Content
  • Managing Serve of Controlled-Access Content
  • Crawling and Serving Controlled-Access Content

Module 4: Indexing

  • Indexing Content in Non-Web Repositories
  • Indexing Hard-to-Find Content
  • Indexing Database Content
  • Indexing Entities
  • Testing Indexed Content

Module 5: One Box

  • Overview
  • Steps to Define and Deploy a OneBox Module
  • Planning of OneBox
  • Defining a OneBox Module in the Admin Console
  • Defining a OneBox Module Using an XML Configuration File

Module 6: Search Experience

  • Using Features to Enhance the Search Experience
  • Forcing Specific Documents to the Top of Search Results
  • Grouping Search Results by Topic
  • Providing Options for Navigating Search Results
  • Displaying Expert Profiles with Search Results
  • Integrating Personal Content from Google Apps
  • Restricting Search and Influencing Results Rankings
  • Controlling Automatic Searching of Synonyms
  • Segmenting the Index
  • Providing User Results and Enabling User Alerts
  • Displaying Translations of Search Results
  • Showing Document Previews in Search Results
  • Enabling Wildcard Search
  • Customizing the User Interface
  • Collecting Metrics about User Clicks

Module 7: Essentials

  • Using Language Options
  • Extending Universal Search
  • Monitoring a Search Appliance

Show moredown

Who should attend this Google Search Appliance Fundamentals Course?

The Google Search Appliance Fundamentals Course in in the United States is designed for professionals who want to get better at configuring, managing, and implementing Google Search Appliance (GSA) in their organizations. The Google Search Appliance Fundamentals Course can benefit individuals such as:

  • Search Administrators
  • Content Managers
  • Search Consultants
  • Search Developers
  • E-commerce Managers
  • Digital Librarians
  • Data Analysts

Prerequisites of the Google Search Appliance Fundamentals Course

There are no formal prerequisites for this Google Search Appliance Fundamentals Course.

Google Search Appliance Fundamentals Course Overview

The Google Search Appliance Fundamentals course in in the United States introduces delegates to the intricate workings of leveraging Google Cloud technologies for optimizing search functionalities. In today's digital landscape, harnessing the potential of Google Cloud Training is pivotal for businesses aiming to streamline search capabilities, enhancing user experience and operational efficiency.

Proficiency in Google Cloud Certifications in in the United States is indispensable for IT professionals, developers, and data analysts seeking mastery in refining search functionalities. Aiming for Google Cloud Platform Certification in this domain enables professionals to craft seamless, high-performing search solutions, bolstering organizational success.

This intensive 2-day training in in the United States empowers delegates with comprehensive insights into maximizing Google Search Appliance capabilities. It delves into advanced techniques, ensuring delegates can adeptly configure and optimize search functionalities, amplifying efficiency and user satisfaction.

Course Objectives:

  • To comprehend the architecture and features of Google Search Appliance
  • To configure search parameters and optimize search results effectively
  • To implement advanced search functionalities for diverse data sources
  • To troubleshoot and fine-tune search performance
  • To ensure seamless integration of Google Search Appliance within existing systems
  • To analyze search metrics and leverage insights for continuous enhancements
  • To deploy security measures and ensure data integrity within search functionalities

After completing the course in in the United States, delegates receive a certification validating their Google Search Appliance Fundamentals expertise. This credential validates proficiency and opens doors to exciting career opportunities.

Show moredown

What’s included in this Google Search Appliance Fundamentals Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Search Appliance Fundamentals Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Online Self-paced (16 hours)

Developing Applications with Google Cloud Platform Course Outline

Module 1: Introduction to Google Cloud Platform

  • Introduction to Google Cloud Platform
  • Google Cloud Infrastructure
  • Google Cloud Platform Services
  • GCP Regions and Zones
  • Edge Caching
  • Cloud Content Delivery Network

Module 2: Setting Up Accounts and Billing

  • Google Cloud Platform Accounts
  • Billing Accounts
  • Projects
  • Admin Setup

Module 3: Networking

  • Google Cloud Platform Networks
  • Subnets
  • Routes
  • Firewall Rules
  • VMs in Networks
  • Add VMs, Explore the Default Network, and Test Connectivity

Module 4: Working with VM Instances

  • Google Compute Engine Machine Types
  • Instances
  • Persistent Disks
  • Local SSDs
  • Preemptible VMs
  • VM and Web App Deployment
  • Deploy VMs with an App by Console and Command-Line

Module 5: Scaling and Load Balancing Apps

  • Google Compute Engine Instance Templates
  • Manage Instance Groups and Load Balancing
  • Autoscaling and Load Balancing Setup

Lab: Scale and Load Balance Instances and Test Under Load

Module 6: Isolating Instances and Apps

  • 3-Tier Web App in GCP
  • Custom Network with Custom Subnets and Firewall Rules

Lab: Build 3-Tier Web App with Public Front-End and Private Backend

Module 7: Developing Application

  • Creating an Application in the App Engine Standard Environment
  • Running and Debugging an App Engine Standard Project Locally Inside Eclipse

Module 8: Using Storage as a Service and Database as a Service

  • Google Cloud Storage and Google Cloud SQL

Lab: Use Gsutil Command-Line Tool to Perform Operations on Buckets and Objects

Lab: Load and Analyse Data in BigQuery

Module 9: Deployment and Monitoring

  • Google Cloud Deployment Manager, Google StackDriver

Lab: Deploy Your Infrastructure Using Deployment Manager

Show moredown

Who should attend this Developing Applications with Google Cloud Platform Course?

The Developing Applications with Google Cloud Platform Course in in the United States is suitable for anyone who wants to get better at software development, management, and deployment of applications while leveraging the Google Cloud Platform. The Developing Applications with Google Cloud Platform Course can benefit the following professionals:

  • Search Administrators
  • Content Managers
  • Search Consultants
  • Search Developers
  • E-commerce Managers
  • Digital Librarians
  • Data Analysts

Prerequisites of the Developing Applications with Google Cloud Platform Course

There are no formal prerequisites for this Developing Applications with Google Cloud Platform Course.

Developing Applications with Google Cloud Platform Course Overview

Introduction to Google Cloud Training in in the United States opens doors to cutting-edge cloud computing technology. This course delves into the fundamentals of Google Cloud Platform Course, offering a comprehensive understanding of its applications and relevance in modern tech environments. Delegates gain insights into scalable, secure, and innovative cloud solutions, making it a vital learning experience in today's tech landscape.

Proficiency in Developing Applications with Google Cloud Platform Course in in the United States is crucial across diverse professions, especially for software developers, system architects, and IT professionals aiming to master cloud-based solutions. Understanding Google Cloud Services enables them to design, develop, and deploy applications with scalability, security, and efficiency, making them invaluable assets to organizations seeking advanced cloud-based solutions.

This intensive 2-day training in in the United States empowers delegates with hands-on experience and practical knowledge, enabling them to harness the full potential of Google Cloud Training. Delegates delve into real-world scenarios, learn best practices, and gain insights into leveraging Google Cloud Services efficiently. The training emphasizes application development, providing participants with the necessary skills to build robust and scalable cloud-native applications.

Course Objectives:

  • To comprehend the core concepts and architecture of the Google Cloud Platform
  • To develop proficiency in utilizing Google Cloud Services for application deployment
  • To understand and implement security practices in Google Cloud environments
  • To explore scalability features and best practices for application development
  • To gain hands-on experience in deploying applications on Google Cloud
  • To master advanced features like containers, serverless computing, etc., in Google Cloud
  • To learn strategies for optimizing application performance in Google Cloud
  • To grasp practical techniques for data storage, management, and analysis within Google Cloud

After completing this training in in the United States, delegates will receive a certification validating their proficiency in leveraging Google Cloud Services for application development, enhancing their credibility and career prospects in the ever-evolving cloud technology landscape.

Show moredown

What’s included in this Developing Applications with Google Cloud Platform Course?

  • World-Class Training Sessions from Experienced Instructors
  • Developing Applications with Google Cloud Platform Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Online Self-paced (16 hours)

Google Cloud Compute Engine Course Outline

Module 1: Introduction to Compute Engine

  • What is Compute Engine?
  • Virtual Machine (VM) Instances
  • Instance Groups
  • Machine Type Families

Module 2: Images

  • Public Images
  • Custom Images
  • Image Families
  • HPC Images

Module 3: Create VM Instance

  • Create Windows Server Instances
  • Create VM Instance with Attached GPUs
  • Create HPC-Ready VMs
  • Create Arm VM
  • Create Spot VMs

Module 4: Create Custom Images

  • Create Custom Images
  • Create Windows BYOL Base Images
  • Create Custom Windows Server Images

Module 5: Migrate VMs

  • Choose Migration Path
  • Import Disks and Images
  • Move VM within Google Cloud

Module 6: Connect to VMs

  • Connect to VMs
  • Manage Access to VMs
  • Transfer Files to or from VMs
  • IP Addresses
  • Internal DNS
  • Create PTR Record for VM
  • Verify PM Identity

Module 7: Manage Storage

  • Storage Options
  • Disk Encryption and Security
  • Persistent Disks
  • Local SSD

Module 8: Backup and Restore

  • Data Protection Options
  • Back Up VMs
  • Back Up Disks
  • Restore from Backup

Module 9: Manage VMs

  • Basic Operations and Lifecycle
  • Update VM Tenancy
  • Manage Group of VMs
  • VM Host Events
  • Manage Metadata
  • Securing VMs

Show moredown

Who should attend this Google Cloud Compute Engine Course?

The Google Cloud Compute Engine Course in in the United States is suitable for anyone who wants to get better at Google Cloud Platform’s Compute Engine service as it provides a virtual machine and scalable compute resources. The Google Cloud Compute Engine Course can benefit the following professionals:

  • Cloud Architects
  • System Administrators
  • DevOps Engineers
  • Solution Architects
  • Technical Managers
  • Infrastructure Engineers
  • Network Engineers

Prerequisites of the Google Cloud Compute Engine Course

There are no formal prerequisites for this Google Cloud Compute Engine Course.

Google Cloud Compute Engine Course Overview

Introduction to Google Cloud Compute Engine Course in the United States delves into the fundamental aspects of leveraging Google Cloud Compute Engine. As businesses increasingly adopt cloud infrastructure, understanding Google Cloud's capabilities becomes pivotal. Google Cloud Training offers hands-on experience managing virtual machines, enhancing scalability, and optimizing performance.

Proficiency in Google Cloud Compute Engine in the United States is vital for IT professionals, cloud architects, and system administrators aiming to master cloud-based solutions. Those seeking to streamline infrastructure, optimize resource allocation, and enhance operational efficiency should prioritize mastering Google Cloud Certifications.

This intensive 2-day training course in the United States empowers delegates with practical skills in deploying and managing applications on Google Cloud Compute Engine. Delegates gain insights into creating scalable, resilient systems and optimizing network performance. They learn to harness the platform's capabilities efficiently, enhancing their ability to design robust cloud architectures.

Course Objectives:

  • To comprehend Google Cloud Compute Engine’s architecture and functionalities
  • To deploy and manage virtual machines effectively on the Google Cloud platform
  • To optimize performance and ensure scalability using Google Cloud Compute Engine
  • To design resilient systems and implement high-availability strategies
  • To secure and monitor applications and infrastructure on Google Cloud
  • To automate tasks and streamline operations using Google Cloud tools
  • To troubleshoot common issues and optimize resource allocation
  • To leverage Google Cloud services for cost-effective solutions

After completing the Google Cloud Compute Engine Course in the United States, delegates receive a certification. This credential validates their proficiency in managing and optimizing infrastructure using Google Cloud Compute Engine, enhancing their credibility and career prospects within the cloud computing domain.

Show moredown

What’s included in this Google Cloud Compute Engine Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Compute Engine Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Storage Training Course Outline

Module 1: Introduction to Google Cloud

  • What is Cloud Storage?
  • How Does Cloud Storage Work?
  • Advantages of Cloud Storage
  • Disadvantages of Cloud Storage
  • How to Use Cloud Storage?
  • Types of Cloud Storage

Module 2: Create Storage Buckets

  • Overview
  • Create Buckets
  • Bucket Locations
  • Storage Classes
  • Change the Default Storage Class of a Bucket

Module 3: Manage Storage Buckets

  • List Buckets
  • Bucket Metadata
  • Tags and Labels
  • Move and Rename Buckets
  • Delete Buckets

Module 4: Upload and Download Object

  • Introduction
  • Downloads
  • Uploads
  • Composite Objects

Module 5: Manage Objects

  • Change an Object’s Storage Class
  • List Objects
  • Object Metadata
  • Copy, Rename, and Move Objects
  • Delete Objects
  • Caching Objects
  • Get Insights about Objects
  • Object Transcoding

Module 6: Control Data Lifecycles

  • Option for Controlling Data Lifecycles
  • Object Lifecycle Management Features
  • Autoclass Features
  • Object Versioning Features

Module 7: Manage Projects, Folders, and HMAC Keys

  • Projects
  • HMAC Keys
  • Folders

Module 8: Cloud Storage FUSE

  • Overview
  • Install Cloud Storage FUSE
  • Mount Buckets
  • Integrations
  • Performance

Show moredown

Who should attend this Google Cloud Storage Training Course?

The Google Cloud Storage Course in the United States is designed for those who want to get better at Google Cloud Platform’s data storage and management operations. The Google Cloud Storage Training Course can benefit professionals such as:

  • Cloud Architects
  • System Administrators
  • Data Engineers
  • Cloud Operations Engineers
  • Business Analysts
  • Data Managers
  • DevOps Engineers

Prerequisites of the Google Cloud Storage Training Course

There are no formal prerequisites for this Google Cloud Storage Training Course.

Google Cloud Storage Training Course Overview

Google Cloud Storage Training in the United States is a critical course for individuals seeking expertise in harnessing the power of Google Cloud for storage. Google Cloud Storage offers managed cloud storage with high availability, making it a versatile tool for serving website content, data archiving, disaster recovery, and the distribution of large data objects. This training delves into the intricacies of Google Cloud Storage, providing a solid foundation for leveraging its capabilities.

Mastery of Google Cloud Storage is imperative in today's technology-driven world. With businesses and organizations relying on the cloud to store, manage, and access data, individuals proficient in Google Cloud Storage are in high demand. This course in the United States is essential for IT Professionals, System Administrators, Cloud Architects, and Developers who need to manage and optimize data storage solutions.

The Knowledge Academy's 1-day Google Cloud Storage Training in the United States is a compact yet comprehensive course designed to empower delegates with in-depth knowledge and practical skills. Delegates will gain a thorough understanding of Google Cloud Storage, including storage classes and buckets, access control, encryption options, and authentication.

Course Objectives

  • To provide delegates with a comprehensive understanding of Google Cloud Storage
  • To familiarize delegates with the key terminology and concepts related to Google Cloud Storage
  • To enable delegates to effectively utilize storage classes and buckets within the Google Cloud Platform
  • To educate delegates on access control mechanisms and strategies for securing data in Google Cloud Storage
  • To instruct delegates on the various encryption options and key concepts for data protection within the cloud
  • To empower delegates with the knowledge and skills to proficiently navigate and utilize the Google Cloud Platform user interface for storage management

After the completing of this course in the United States, delegates will adeptly navigate the Google Cloud Compute Engine ecosystem, mastering the deployment and management of virtual machine instances. They'll gain proficiency in optimising resource utilization, ensuring cost-effective and efficient cloud operations.

Show moredown

What’s included in this Google Cloud Storage Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Storage Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Developing with Google App Engine Training Course Outline

Module 1: Runtime Environment

  • Overall Architecture
  • Available Runtimes and Services
  • Structure of an Application
  • Writing and Deploying a Simple Application

Module 2: Handling Web Requests

  • Request Handling
  • Rendering Templates
  • Serving Static Resources
  • Web Frameworks

Module 3: Understanding the Datastore

  • BigTable
  • How Data is Sorted?
  • Scanning BigTable to BigData

Module 4: Data Modelling, Queries, Indexes, and Transactions

  • Data Modelling Language
  • Model and Data Modelling
  • Data Querying
  • Query API

Module 5: Integrating Search and Task Queues

  • Background
  • Underlying Principle
  • Indexing Data, Queries, Sorting, Pagination, and Facets
  • Queue, Need to Queue Things, and Pull Queues

Module 6: Reaching Out and Sending E-Mails

  • E-Mails
  • Sending E-Mails
  • Receiving E-Mails

Module 7: Working with the Google App Engine Services

  • MemCache
  • Multi- Tenancy
  • Blobs
  • Users
  • Images

Module 8: Application Deployment

  • Deployment Configurations
  • Scaling Types
  • Dispatch.yaml File
  • Schedule Tasks
  • AppStats

Show moredown

Who should attend this Developing with Google App Engine Training Course?

The Developing with Google App Engine Course in the United States is designed for those who want to get better at application development and deployment while using the Google App Engine. The Developing with Google App Engine Training Course can benefit professionals such as:

  • Application Developers
  • Web Developers
  • Cloud Developers
  • Full Stack Developers
  • Product Managers
  • Backend Developers
  • DevOps Engineers

Prerequisites of the Developing with Google App Engine Training Course

There are no formal prerequisites for this Developing with Google App Engine Training Course.

Developing with Google App Engine Training Course Overview

Introduction to Google App Engine Training in the United States is pivotal in understanding cloud-based development on the Google Cloud Platform. This course equips participants with the tools and knowledge necessary to create scalable applications utilizing the power of Google App Engine. With a focus on practical application, this training explores the core functionalities, fostering a comprehensive grasp of cloud-based development.

Proficiency in Google App Engine is crucial for developers seeking to excel in cloud-based application deployment. Software engineers, cloud architects, and developers aiming to master this technology will find this course instrumental in advancing their careers. Profound knowledge of Google Cloud Services becomes indispensable as the industry embraces cloud-centric solutions.

This intensive 1-day training in the United States equips delegates with practical skills in building, deploying, and managing applications on Google Cloud. Through hands-on exercises and expert guidance, participants gain insights into app scalability, versioning, and integration, fostering proficiency crucial for real-world application development scenarios.

Course Objectives:

  • To comprehend the fundamental concepts of the Google App Engine
  • To explore App Engine's features for scalable and efficient application development
  • To implement best practices for deploying applications on the Google Cloud Platform
  • To gain hands-on experience in building and managing applications on App Engine
  • To understand strategies for optimizing applications using Google Cloud Services
  • To troubleshoot and debug applications effectively on the Google Cloud
  • To develop proficiency in utilizing App Engine's tools for enhanced scalability and reliability

After completing the Google App Engine Training in the United States, delegates receive a certification validating their expertise in deploying and managing applications using Google Cloud Services. This certification shows their proficiency in leveraging Google App Engine for scalable and efficient application development.

Show moredown

What’s included in this Developing with Google App Engine Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Developing with Google App Engine Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Dataflow Training Course Outline

Module 1: Overview of Cloud Dataflow

  • Introduction
  • Run a Java Pipeline
  • Run a Python Pipeline
  • Run a Go Pipeline
  • Run a Streaming Pipeline from a Template

Module 2: Build Pipelines

  • Use Apache Beam
  • Use Templates
  • Use Notebooks
  • Common Pipeline Patterns
  • Use Dataflow SQL

Module 3: Run Pipeline

  • Deploy Pipelines
  • Configure Pipeline Options
  • Use Dataflow GPUs
  • Use Arm VMs
  • Use Custom Containers
  • Regional Endpoints

Module 4: Monitor

  • Use the Monitoring UI
  • Use the Command Line Interface
  • Use Cloud Monitoring
  • Use Cloud Profiler
  • Sample Pipeline Data
  • Work with Audit Logs
  • Control Log Ingestion

Module 5: Optimize

  • Use Flexible Resource Scheduling
  • Horizontal Autoscaling
  • Dynamic Thread Scaling
  • Dynamic Work Rebalancing
  • Dataflow Insights
  • Use Streaming Engine for Streaming Jobs
  • Use Dataflow Shuffle for Batch Jobs
  • Use Dataflow Runner
  • Use Dataflow Prime
  • Use Computer Engine Reservations

Module 6: Manage

  • Update an Existing Pipeline
  • Stop a Running Pipeline
  • Request Quotas
  • Use Dataflow Snapshots
  • Work with Data Pipelines
  • Use Eventarc to Manage Dataflow

Module 7: Dataflow Development Guide

  • Pipeline Lifecycle
  • Design Considerations
  • Plan Data Pipelines
  • Develop and Test Pipelines
  • Design Pipeline Workflows
  • Data Representation in Streaming Pipeline

Show moredown

Who should attend this Google Cloud Dataflow Training Course?

The Google Cloud Dataflow Training Course in the United States is suitable for individuals who want to get better at developing robust data processing pipelines while using Google Cloud Dataflow. The Google Cloud Dataflow Training Course can benefit professionals such as:

  • Data Engineers
  • Data Scientists
  • Software Developers
  • Cloud Developers
  • Data Architects
  • Solution Architects
  • ETL Developers

Prerequisites of the Google Cloud Dataflow Training Course

There are no formal prerequisites for this Google Cloud Dataflow Training Course.

Google Cloud Dataflow Training Course Overview

Google Cloud Dataflow is a pivotal component of Google Cloud's suite, facilitating seamless data processing and analysis. This course delves into its intricacies, elucidating how to leverage its functionalities effectively. In today's data-driven landscape, mastering Google Cloud Dataflow is instrumental for harnessing the power of big data, enabling businesses to derive valuable insights and make informed decisions swiftly.

Proficiency in Google Cloud Dataflow in the United States is imperative for data engineers, analysts, and cloud architects seeking to streamline data workflows and extract actionable intelligence from massive datasets. Mastery in this field ensures the optimization of data processing pipelines, fostering efficiency and empowering professionals to create robust, scalable solutions in the cloud environment.

This intensive 1-day Google Cloud Dataflow training equips delegates with comprehensive knowledge and hands-on experience essential for proficiently utilizing Dataflow's capabilities. Delegates will gain practical insights into effectively designing, deploying, and managing data pipelines. The course emphasizes practical exercises, empowering delegates to apply acquired skills immediately within real-world scenarios.

Course Objectives:

  • To comprehend the fundamentals and architecture of Google Cloud Dataflow
  • To learn how to build and optimize data processing pipelines using Dataflow
  • To explore advanced features like windowing and triggers for real-time data processing
  • To understand best practices for scalability, reliability, and performance optimization
  • To gain proficiency in troubleshooting and debugging Dataflow pipelines efficiently
  • To grasp security practices and compliance considerations within Dataflow applications

After completing the Google Cloud Dataflow Course in the United States, delegates will receive a certification validating their expertise in implementing Dataflow solutions. This certification solidifies their understanding of Dataflow's functionalities. It signifies their capability to design and manage data pipelines effectively, offering a competitive edge in cloud-based data processing.

Show moredown

What’s included in this Google Cloud Dataflow Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Dataflow Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Spanner Training Course Outline

Module 1: Overview of Google Cloud Spanner

  • Introduction
  • Features
  • Manage Data Using the Google Cloud Console
  • Setup and Install the gcloud CLI and Set Up the Cloud Spanner API
  • Create and Query a Database Using gcloud CLI

Module 2: Work with Instances

  • Overview of Instances
  • Compute Capacity, Nodes, and Processing Units
  • Regional and Multi-Region Configurations
  • Replication
  • Create and Manage Instances
  • Create and Manage Instance Configurations
  • Move an Instance
  • Autoscaling Instance

Module 3: Work with Databases

  • Overview
  • Create and Manage Databases
  • Create a Cloud Spanner Database
  • Prevent Accidental Database Deletion
  • Modify the Leader Region of a Database

Module 4: Connect

  • Using Spanner in a Virtual Machine Instance
  • Connect psql to a PostgreSQL Dialect Database
  • Connect Cloud Spanner with a Google Kubernetes Engine (GKE) Cluster
  • Connect to Cloud Spanner from Other Google Cloud Services

Module 5: Backup and Restore

  • Introduction
  • Key Features
  • Choose Between Backup and Restore or Import and Export
  • Create a Backup
  • Copy Backup
  • Restore from a Backup
  • Backup and Restore Databases with the Google Cloud Console

Module 6: Secure

  • Access Control with IAM
  • Fine-Grained Access Control
  • Data Encryption

Module 7: Migrate to Cloud Spanner

  • Migration Overview
  • Primary Keys
  • Migrate from DynamoDB
  • Migrate from MySQL
  • Migrate from Oracle
  • Migrate from PostgreSQL
  • Import and Export Data

Module 8: Design and Develop

  • Design a Database Schema
  • Use Transactions
  • Read Data
  • Modify Data
  • Work with Data Types

Show moredown

Who should attend this Google Cloud Spanner Training Course?

The Google Cloud Spanner Course in the United States is aimed at professionals who want to get better at managing databases with the Google Cloud Spanner. The Google Cloud Spanner Training Course can benefit the following professionals:

  • Database Administrators
  • Database Engineers
  • Solution Architects
  • Cloud Architects
  • DevOps Engineers
  • Data Architects
  • Database Analysts

Prerequisites of the Google Cloud Spanner Training Course

There are no formal prerequisites for this Google Cloud Spanner Training Course.

Google Cloud Spanner Training Course Overview

The Google Cloud Spanner Training Course in the United States offers an in-depth understanding of one of Google Cloud's prominent services, providing a scalable, globally distributed, and strongly consistent database solution. This course delves into the core functionalities and benefits of Google Cloud Spanner, making it an essential learning opportunity for professionals seeking advanced cloud database management skills.

Proficiency in Google Cloud Spanner in the United States is crucial for database administrators, cloud architects, and data engineers. Mastering this subject enables professionals to design and maintain globally consistent databases, ensuring high availability and seamless scalability. Organizations rely on cloud-based data storage and require high-performance, globally distributed databases.

This intensive 1-day Google Cloud Spanner Training in the United States equips delegates with practical skills in managing complex data structures, implementing schema changes, and optimizing database performance. Delegates gain hands-on experience leveraging Spanner's unique features like horizontal scaling and transactional consistency, fostering their ability to address real-world database challenges efficiently.

Course Objectives:

  • To comprehend the architecture and functionalities of Google Cloud Spanner
  • To implement and manage schema changes effectively within Spanner databases
  • To optimize database performance by utilizing Spanner's features
  • To deploy and configure Spanner instances for global distribution
  • To design resilient and highly available database solutions using Spanner
  • To perform advanced querying and transaction management within Spanner
  • To understand best practices for security and access control in Google Cloud Spanner
  • To explore real-world use cases and scenarios for Google Cloud Spanner deployment

After completing the Google Cloud Spanner Training Course in the United States, delegates receive a certificate acknowledging their proficiency in managing and leveraging Google Cloud Spanner effectively. This certification validates their skills and knowledge, enhancing their credibility as cloud database management professionals.

Show moredown

What’s included in this Google Cloud Spanner Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Spanner Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Firestore Training Course Outline

Module 1: Introduction to Firestore

  • What is Cloud Firestore?
  • How Does it Work?
  • Key Capabilities
  • Features of Firestore

Module 2: Managing Data

  • Adding Data
  • Deleting Data
  • Transactions and Batched Writes
  • Enabling Offline Data
  • Exporting and Importing Data
  • Manage Data Retention with Time-to-Live Policies
  • Process Data in Bulk with Dataflow
  • Moving Data Between Projects

Module 3: Querying Data

  • Getting Data
  • Getting Real-time Updates
  • Querying and Filtering Data
  • Ordering and Limiting Data
  • Counting Documents with Aggregation Queries
  • Paginating Data with Query Cursors
  • Managing Indexes

Module 4: Securing Data for Mobile/Web Clients

  • Getting Started with Security Rules
  • Structuring Security Rules
  • Writing Conditions for Security Rules
  • Securely Querying Data
  • Controlling Access Per Field
  • Fixing Insecure Rules
  • Testing Security Rules
  • Securing Data Access for Users and Groups

Module 5: Solutions

  • Managing Firestore with the Console
  • Emulate Firestore Locally
  • Monitor Usage

Module 6: Use Key Visualizer

  • Overview of Key Visualizer
  • Get Started with Key Visualizer
  • Explore Heatmaps
  • Heatmap Patters for Document Keys

Module 7: Create Event-driven Architectures with Eventarc

  • Overview
  • Extend Firestore with Cloud Functions
  • Extend Firestore with Cloud Run
  • Extend Firestore with Google Kubernetes Engine
  • Extend Firestore with Workflows
  • Configure Data Locality with Regional Endpoints

Module 8: Backup and Restore

  • Disaster Recovery Planning
  • Schedule Backups and Restore Data
  • Point-in-Time Recovery (PITR) Overview
  • Work with Point-in-Time Recovery (PITR)

Show moredown

Who should attend this Google Cloud Firestore Training Course?

The Google Cloud Firestore Course in the United States is suitable for a range of individuals who want to get better at managing the NoSQL Database since Google Cloud Firestore provides flexibility and scalability. The Google Cloud Firestore Training Course can benefit professionals such as:

  • Database Developers
  • Software Engineers
  • Front End Developers
  • Full Stack Developers
  • Solution Architects
  • DevOps Engineers
  • Database Administrators

Prerequisites of the Google Cloud Firestore Training Course

There are no formal prerequisites for this Google Cloud Firestore Training Course.

Google Cloud Firestore Training Course Overview

Introduction to Google Cloud Firestore Training highlights the pivotal role of this technology in modern cloud computing. This course delves into the intricacies of Google Cloud's innovative Firestore, a NoSQL database that provides scalability and real-time data synchronization. Mastering Google Cloud Firestore is crucial for professionals seeking to optimize cloud-based, propelling them toward efficient and dynamic solutions.

Proficiency in Google Cloud Firestore is crucial as it empowers professionals to architect robust cloud-based applications and databases. Developers, data engineers, and cloud architects aiming to excel in cloud computing should prioritize mastering this technology. With Firestore, these experts can design scalable, secure, and responsive applications, enhancing their relevance in the rapidly evolving tech industry.

This intensive 1-day Google Cloud Firestore Training course offers delegates an immersive learning experience. Delegates will gain hands-on expertise in Firestore's functionalities, including real-time data synchronization and seamless integration with other Google Cloud services. Through practical exercises and case studies, delegates will sharpen their skills in deploying, managing, and optimizing Firestore databases, ensuring efficient data storage and retrieval.

Course Objectives:

  • To understand the fundamentals of Google Cloud Firestore
  • To explore Firestore's capabilities in facilitating real-time data synchronization
  • To learn techniques for designing scalable and secure Firestore databases
  • To gain proficiency in integrating Firestore with other Google Cloud services
  • To practice deploying and managing Firestore databases effectively
  • To optimize Firestore's performance for enhanced data storage and retrieval
  • To ensure data security and compliance within Firestore databases
  • To master advanced features of Firestore for comprehensive cloud-based solutions

After completing this Google Cloud Firestore Training course, delegates receive a certification showcasing their proficiency in Firestore. This certification validates their expertise in architecting and managing dynamic, scalable databases using Firestore, amplifying their credentials in cloud computing.

Show moredown

What’s included in this Google Cloud Firestore Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Firestore Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Big Data and Machine Learning with Google Cloud Platform Course Outline

Module 1: Introduction to Google Cloud Platform

  • Google Platform Fundamentals Overview
  • Google Cloud Platform Big Data Products

Module 2: Compute and Storage Fundamentals

  • CPUs on Demand (Compute Engine)
  • Global Filesystem (Cloud Storage)
  • CloudShell
  • Lab: Set Up an Ingest Transform Publish Data Processing Pipeline

Module 3: Data Governance and Security

  • Importance of Data Governance
  • Data Security Best Practices
  • Compliance and Regulatory Considerations
  • Data Encryption and Access Controls
  • Monitoring and Auditing Data Access
  • Lab: Implementing Data Governance and Security

Module 4: Data Analytics on the Cloud

  • Stepping-Stones to the Cloud
  • Cloud SQL: Your SQL Database on the Cloud
  • Lab: Importing Data into CloudSQL and Running Queries
  • Spark on Dataproc
  • Lab: Machine Learning Recommendations with Spark on Dataproc

Module 5: Scaling Data Analysis

  • Fast Random Access
  • Datalab
  • BigQuery
  • Lab: Build a Machine Learning Dataset

Module 6: Machine Learning

  • Machine Learning with TensorFlow
  • Lab: Carry out ML with TensorFlow
  • Pre-built Models for Common Needs
  • Lab: Employ ML APIs

Module 7: Data Processing Architectures

  • Message-Oriented Architectures with Pub/Sub
  • Creating Pipelines with Dataflow
  • Reference Architecture for Real-Time and Batch Data Processing

Show moredown

Who should attend this Big Data and Machine Learning with Google Cloud Platform Course?

The Big Data and Machine Learning with Google Cloud Platform Course in the United States is designed for those who want to get better at implementing Machine Learning and Big Data concepts through the Google Cloud Platform. The Big Data and Machine Learning with Google Cloud Platform Course can benefit the following professionals:

  • Data Engineers
  • Data Scientists
  • Data Analysts
  • Business Analysts
  • Solution Architects
  • System Engineers
  • Database Administrators

Prerequisites of the Big Data and Machine Learning with Google Cloud Platform Course

There are no formal prerequisites for this Big Data and Machine Learning with Google Cloud Platform Course.

Big Data and Machine Learning with Google Cloud Platform Course Overview

Google Cloud Training in the United States in Big Data and Machine Learning addresses the intersection of data analytics and AI pivotal. As organizations harness data's exponential growth, this course delves into leveraging Google Cloud's robust infrastructure, facilitating comprehensive insights and predictions. This training's relevance lies in empowering professionals to efficiently navigate and harness the potential within vast datasets.

Proficiency in Google Cloud Certifications in the United States is paramount for data scientists, analysts, developers, and IT professionals aiming to master cutting-edge data management and machine learning techniques. Mastery of this subject empowers individuals to streamline data processing, extract meaningful patterns, and construct predictive models, pivotal for advancing businesses across diverse industries.

This intensive 1-day training course in the United States empowers delegates with practical skills essential for Big Data management and Machine Learning implementation using Google Cloud's suite of tools. Delegates gain hands-on experience in leveraging Google Cloud Platform's advanced features, enabling them to harness data effectively, perform insightful analytics, and deploy machine learning models efficiently.

Course Objectives:

  • To comprehend the fundamentals of Big Data management using the Google Cloud Platform
  • To explore various tools and services within Google Cloud for data processing and analysis
  • To construct machine learning models using Google Cloud's specialized frameworks
  • To implement effective strategies for handling and optimizing large datasets
  • To leverage Google Cloud's capabilities in deploying scalable and efficient machine learning solutions
  • To understand the integration of Big Data and Machine Learning for business intelligence
  • To gain practical experience through hands-on exercises and case studies
  • To prepare for exams related to Big Data and Machine Learning

After completing this course in the United States, delegates receive a certification validating their Big Data management and Machine Learning proficiency using the Google Cloud Platform. This certification enhances professional credentials, showcasing expertise leveraging Google Cloud's suite for data-driven insights and machine learning advancements.

Show moredown

What’s included in this Big Data and Machine Learning with Google Cloud Platform Course?

  • World-Class Training Sessions from Experienced Instructors
  • Big Data and Machine Learning with Google Cloud Platform Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Bigtable Training Course Outline

Module 1: Get Started with Cloud Bigtable

  • Bigtable Overview
  • Instances, Clusters and Nodes
  • Get Started with the Client Libraries
  • Install the Google Cloud CLI

Module 2: Provision and Manage

  • Create and Modify Instances
  • Create and Manage Table
  • Replication
  • Backup and Restore
  • Create and Manage Instance Labels

Module 3: Develop

  • Schema Design
  • Data Requests
  • Garbage Collection
  • App Profile
  • Change Data Capture
  • Use the HBase API
  • Use Emulator
  • Dataflow Templates

Module 4: Monitor and Troubleshoot

  • Understand Performance
  • Monitoring
  • Matrices
  • ClientSide Metrics
  • Use Key Visualizer
  • Hot Table
  • Table Stats
  • Get Queries Stats
  • Connection Pool
  • Configure Connection Pool
  • Create a Test Table

Module 5: Secure

  • Authenticate to Bigtable
  • Access Control with IAM
  • Create and Manage Tags
  • Audit Logging
  • Encryption
  • Reginal Endpoint

Module 6: Migrate

  • Import and Export Data
  • Migrate Data from HBase
  • Replication from HBase
  • Migrate Data from HBase on Google Cloud
  • Cloud Bigtable for Cassandra Users
  • Bigtable for Cassandra Users
  • Migrating from Aerospike to Cloud Bigtable
  • Import CVs Files

Module 7: Integrate

  • Integrations with Bigtable
  • Manage Data Assets using Data Catalog
  • BigQuery with Bigtable
  • Monitoring Time-Series Data with OpenTSDB
  • Use Cloud Functions
  • Store Graph Data with JanusGraph
  • Create a Hadoop Cluster

Show moredown

Who should attend this Google Cloud Bigtable Training Course?

The Google Cloud Bigtable Course in the United States is designed for individuals who want to get better at NoSQL Database operations via the Google Cloud Bigtable. The Google Cloud Bigtable Training Course can benefit the following professionals:

  • Data Engineers
  • Database Engineers
  • Database Administrators
  • Database Developers
  • Solution Architects
  • Big Data Analysts
  • Infrastructure Managers

Prerequisites of the Google Cloud Bigtable Training Course

There are no formal prerequisites for this Google Cloud Bigtable Training Course.

Google Cloud Bigtable Training Course Overview

Google Cloud Bigtable in the United States is an integral part of the Google Cloud ecosystem and serves as a massively scalable NoSQL database. This training course delves into the intricacies of leveraging Google Cloud Bigtable, offering insights into its architecture, functionalities, and practical applications in data management and analytics. Its relevance lies in empowering professionals to harness the full potential of this advanced database system within the Google Cloud platform.

Proficiency in Google Cloud Bigtable in the United States is paramount for data engineers, database administrators, and cloud architects seeking to optimize data storage, analysis, and scalability. Mastery of this subject enables professionals to handle complex data workloads efficiently, ensuring seamless performance and enhanced data-driven decision-making within cloud-based infrastructures.

This intensive 1-day Google Cloud Bigtable Training in the United States equips delegates with hands-on experience configuring, managing, and optimizing Bigtable instances. Delegates gain practical knowledge in utilizing Bigtable’s features, such as column families, data modelling, and integration with other Google Cloud services. They learn to enhance performance and troubleshoot issues, fostering their expertise in maximizing Bigtable's potential for various applications.

Course Objectives:

  • To understand the architecture and principles of Google Cloud Bigtable
  • To learn practical implementation techniques for configuring Bigtable instances
  • To explore data modelling strategies and best practices within Bigtable
  • To comprehend how to integrate Bigtable with other Google Cloud services
  • To optimize Bigtable performance and troubleshoot common issues effectively
  • To develop proficiency in managing and scaling Bigtable databases
  • To execute advanced functionalities like access control and security measures within Bigtable
  • To explore real-world use cases and scenarios showcasing Big Table's capabilities

After completing the Google Cloud Bigtable Training Course in the United States, delegates receive a certification attesting to their acquired expertise in effectively leveraging Google Cloud Bigtable. This certification is a testament to their proficiency in managing and optimizing Bigtable instances within the Google Cloud platform, enhancing their credibility.

Show moredown

What’s included in this Google Cloud Bigtable Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Bigtable Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Python with Google Cloud Platform Training Course Outline

Module 1: Introduction to Python and Google Cloud Platform

  • Introduction to Python Programming
  • Setting up Python Environment
  • Overview of Google Cloud Platform (GCP)
  • Creating a GCP Account
  • Navigating the GCP Console

Module 2: Python Fundamentals

  • Variables and Data Types in Python
  • Control Structures
  • Functions and Modules
  • Exception Handling in Python
  • Working with Lists, Dictionaries, and Sets

Module 3: Google Cloud Storage with Python

  • Introduction to Google Cloud Storage
  • Uploading and Downloading Files to/from GCS
  • Managing GCS Buckets and Objects
  • Using Python Libraries for GCS
  • Access Control and Permissions in GCS

Module 4: Data Processing with Python and GCP

  • Introduction to Data Processing on GCP
  • Using Google Cloud Dataflow
  • Analyzing Data with BigQuery
  • Integrating Python Scripts with GCP Data Services
  • Real-time Data Processing with Cloud Pub/Sub

Module 5: Python and GCP Machine Learning Services

  • Introduction to Machine Learning on GCP
  • Building Machine Learning Models with Python
  • Deploying Models with AI Platform
  • Model Monitoring and Management
  • Using AutoML for Model Development

Module 6: Building Web Applications with Python and GCP

  • Introduction to Web Application Development
  • Deploying Web Apps on Google App Engine
  • Integrating Cloud SQL and NoSQL Databases
  • Scaling and Monitoring Web Applications

Show moredown

Who should attend this Python with Google Cloud Platform Training Course?

The Python with Google Cloud Platform Course in the United States is suitable for those who want to get better at Python programming and its implementations in application development through the Google Cloud Platform. This course can benefit professionals such as:

  • Software Developers
  • Application Developers
  • Web Developers
  • API Developers
  • Data Scientists
  • Machine Learning Engineers
  • Data Scientists

Prerequisites of the Python with Google Cloud Platform Training Course

There are no formal prerequisites for this Python with Google Cloud Platform Course.

Python with Google Cloud Platform Training Course Overview

The Python with Google Cloud Platform Training Course in the United States introduces delegates to integrating Python programming with the versatile capabilities of Google Cloud. This fusion equips learners with the skills to leverage the power of Python's flexibility in tandem with Google Cloud's vast array of tools and services. This amalgamation is increasingly crucial, offering solutions across various industries, from data analytics to machine learning.

Proficiency in Python with Google Cloud in in the United States holds paramount importance for professionals seeking roles in DevOps, data engineering, cloud architecture, and AI development, and will significantly benefit from this expertise. As cloud-based solutions continue to revolutionize industries, professionals aspiring to excel in these domains should aim at mastering this integration.

This intensive 1-day training session in in the United States provides delegates with a comprehensive understanding of the seamless integration between Python and Google Cloud Platform. Delegates will gain hands-on experience utilizing Python's libraries and Google Cloud's infrastructure to develop scalable applications, implement machine learning models, and manage data effectively.

Course Objectives:

  • To familiarize delegates with the fundamentals of Python programming
  • To explore the extensive suite of tools offered by Google Cloud Platform
  • To demonstrate Python's integration with Google Cloud services for data manipulation and analysis
  • To enable participants to develop and deploy applications on Google Cloud using Python
  • To impart knowledge on leveraging Google Cloud's machine learning capabilities with Python
  • To provide insights into best practices for Python development within the Google Cloud environment
  • To enable participants to manage and store data on Google Cloud using Python efficiently
  • To empower delegates with practical skills to innovate and solve real-world problems using Python and Google Cloud

After completing this Python with Google Cloud Platform Training Course in in the United States, delegates will receive a certification acknowledging their proficiency in utilizing Python within the Google Cloud ecosystem. This certification validates their ability to harness the combined power of Python programming and Google Cloud services.

Show moredown

What’s included in this Python with Google Cloud Platform Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Python with Google Cloud Platform Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Training Certification & Course Outline

Module 1: Introduction to Google Cloud Platform

  • What is Google Cloud Platform?
  • What is Cloud Computing?
  • Why Use Google Cloud Platform?
  • Google Cloud Platform Components

Module 2: Compute Engine and Virtual Machines

  • Compute Engine
  • Choosing Right Virtual Machine Type
  • VM Migration to Compute Engine
  • Genomics Data Processing
  • Creating a Virtual Machine

Module 3: Google Kubernetes Engine (GKE)

  • GKE Overview
  • Benefits of GKE
  • How GKE works?
  • Kubernetes versions and features
  • Set up the GKE cluster
  • Installation
  • Configure Networking

Module 4: Storage Solutions in GCP

  • Introduction
  • Various Storage Option Provided by CGP
  • Choosing Among Cloud Storage Classes
  • Key Features of Cloud Storage Classes

Module 5: Google Cloud Identity and Access Management (IAM)

  • IAM Overview
  • How IAM Works?
  • Principals of Identity
  • Entities Involved in Authorization Process
  • IAM Support for Google Cloud Services
  • Consistency Model for the IAM API

Module 6: Google Cloud Security and Compliance

  • Google Cloud Security
  • Critical Components of Google Cloud Architecture
  • Understanding the Shared Responsibility Model
  • Challenges to Implementing Google Cloud Security Measures
  • Role of Compliance in Google Cloud Security
  • Empower Google Cloud Defenders with Context and Prioritization

Show moredown

Who should attend this Google Cloud Training Certification & Course?

Google Cloud Training in in the United States is designed for professionals who want to get better at building and managing cloud-based applications via the Google Cloud Platform. This training can be beneficial for a wide range of professionals, including:

  • Cloud Architects
  • Cloud Engineers
  • DevOps Engineers
  • System Administrators
  • Database Administrators
  • Data Engineers
  • Data Scientists

Prerequisites of the Google Cloud Training Certification & Course

There are no formal prerequisites for this Google Cloud Course.

Google Cloud Training Certification & Course Overview

Introduction to Google Cloud Training Certification in in the United States offers a comprehensive understanding of Google Cloud's powerful suite of tools and services. Cloud technology is paramount for businesses striving to scale, innovate, and efficiently secure operations. This course equips individuals with the skills to effectively navigate and leverage Google Cloud's robust infrastructure.

Proficiency in Google Cloud Certification in in the United States is vital for IT professionals, developers, and data engineers aiming to excel in cloud computing. Mastering this subject enables professionals to architect, deploy, and manage applications on Google Cloud, facilitating seamless scalability and enhancing organizational efficiency. It's a critical skill set for those seeking cloud architecture, data analytics, and application development roles.

This intensive 1-day Google Cloud Course in in the United States empowers delegates with hands-on experience, imparting practical skills in deploying and managing applications on Google Cloud. Delegates gain insights into Google Cloud's core services, learning to optimize infrastructure and efficiently harness the platform's capabilities. The training fosters proficiency using tools like Google Cloud Platform Console and Google Cloud SDK.

Course Objectives

  • To gain proficiency in managing and optimizing cloud resources
  • To explore Google Cloud services for data storage and processing
  • To implement security measures and best practices in Google Cloud
  • To master tools like Google Cloud Platform Console and Google Cloud SDK
  • To develop skills in monitoring, troubleshooting, and debugging applications on Google Cloud
  • To prepare for the Google Cloud exam effectively

After completing this Google Cloud Course in in the United States, delegates receive a certification acknowledging their proficiency in leveraging Google Cloud services. This certification validates the individual's ability to effectively work with Google Cloud infrastructure, enhancing career prospects in cloud computing and related fields.

Show moredown

What’s included in this Google Cloud Training Certification & Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Certificate
  • Digital Delegate Pack

 

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Professional Collaboration Engineer Training Course Outline

Module 1: Object Management

  • Manage User Life Cycles with Provisioning and Deprovisioning Processes
  • Configure Shared Drives
  • Manage Calendar Resources
  • Configure and Manage Google Groups for Business

Module 2: Service Configuration

  • Implement and Manage Workspace Configurations Based on Corporate Policies
  • Demonstrate How to Set Up and Configure Google Mail

Module 3: Troubleshoot

  • Fix Bounced or Rejected Emails
  • Limits for Sending and Getting Mail
  • File Types Blocked in Gmail
  • Classify and Mitigate Basic Email Attacks

Module 4: Data Access and Authentication

  • Configure Policies for All Device
  • Configure User Authentication
  • Edit a User’s Recovery Information
  • Temporarily Turn Off a Login Challenge

Module 5: Support Business Initiatives

  • Use Vault to Assist Legal Teams
  • Interpret Reports for the Business
  • Download or Export Your Google Data

Show moredown

Who should attend this Professional Collaboration Engineer Training?

The Professional Collaboration Engineer Training in the United States is designed for a specific group of professionals who aim to advance their skills in designing, deploying, and managing collaboration solutions. The following professionals will benefit the most from this course:

  • System Administrators
  • DevOps Engineers
  • IT Managers
  • Software Developers
  • Solution Architects
  • Information Security Analysts
  • Business Systems Analysts

Prerequisites of the Professional Collaboration Engineer Training

There are no formal prerequisites for this course. However, having a foundational understanding of IT concepts, including basic networking and cloud computing can be beneficial for the delegates. Experience with collaboration tools, such as video conferencing and content sharing platforms, will also be beneficial.

Professional Collaboration Engineer Training Course Overview

Google Cloud Training in the United States is indispensable in today's tech landscape. The Professional Collaboration Engineer course delves into Google Cloud's intricacies, which is vital for professionals seeking mastery of cloud collaboration tools and strategies. Given the pivotal role of cloud technology in modern businesses, understanding Google Cloud is instrumental for seamless collaborative workflows.

Proficiency in Google Cloud Certifications in the United States is pivotal for professionals, especially IT specialists, system engineers, and cloud architects. Mastery in this subject foster streamlined collaborations, enhanced productivity, and ensures optimized utilization of Google Cloud resources. Such expertise is indispensable in today's tech-driven workplaces.

This intensive 1-day training in the United States empowers delegates with practical skills. They learn to configure and manage collaborative enterprise solutions effectively, ensuring secure and efficient operations within Google Cloud environments. This training equips them with hands-on experience and best practices for seamless cloud collaboration.

Course Objectives:

  • To comprehend Google Cloud collaboration tools comprehensively
  • To configure and manage Google Workspace for enhanced productivity
  • To optimize Google Cloud resources for collaborative workflows
  • To ensure security and compliance within Google Cloud environments
  • To troubleshoot and maintain efficient collaboration infrastructures
  • To develop strategies for seamless integrations and data sharing
  • To master deployment practices for diverse collaborative solutions
  • To maximize ROI through efficient Google Cloud utilization

After completing this course in the United States, delegates receive a certification, validating their expertise in collaborative engineering within Google Cloud environments. This certification is a testament to their proficiency, augmenting their professional credibility and opening avenues for advanced roles in the tech industry.

Show moredown

What’s included in this Professional Collaboration Engineer Training?

  • World-Class Training Sessions from Experienced Instructors
  • Professional Collaboration Engineer Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Digital Leader Training Course Outline

Module 1: Introduction to Digital Transformation with Google Cloud

  • Why Cloud Technology is Revolutionizing Business?
  • Cloud
  • Cloud Technology
  • Data
  • Digital Transformation
  • Why is it Critical for Businesses to Adopt New Technology?
  • Cloud Technology and Traditional or On-Premises Technology
  • How Customer Expectations Have Changed Because of Cloud Technology?
  • Identify the Business and Technical Considerations

Module 2: Innovating with Data and Google Cloud

  • Role of Data in Digital Transformation
  • Importance of a Data-Driven Culture
  • Identify Common Google Cloud Solutions for Data Management
  • Identify Common Google Cloud Solutions for Smart Analytics
  • Benefits of Storing Data in the Cloud
  • Use Cases for Databases, Data Warehouses, and Data Lakes
  • Benefits of Google Cloud Data Products
  • Identify Google Cloud’s Solutions for Machine Learning and AI
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Importance of Data Quality in ML Prediction Accuracy
  • Google Cloud’s Differentiators with Regard to AI and Machine Learning
  • Ways to Use Google Cloud’s AI and ML Solutions to Create Business Value

Module 3: Infrastructure and Application Modernization

  • What Modernizing IT Infrastructure with Google Cloud Means?
  • Why does Legacy Infrastructure Struggle to Deliver Modern Services to Customers?
  • Benefits of Modernizing Infrastructure with Cloud Technology
  • Hybrid Vs Multicloud Infrastructures
  • Differentiate Between Virtual Machines, Containers, and Serverless Computing
  • Identify the Google Cloud Solutions
  • Modernizing Applications with Google Cloud
  • Business Drivers for Modernizing Applications
  • Benefits of Using Cloud-Native Applications
  • Apply the Appropriate Change Pattern
  • Benefits of Google Kubernetes Engine, Anthos, and App Engine
  • Value OF APIs
  • How Application Programming Interfaces (APIs) can Modernize Legacy Systems?
  • How APIs can Create New Business Value?
  • Benefits of Apigee

Module 4: Google Cloud Security and Operations

  • Financial Governance, Effective Cloud Cost Management
  • Cloud Security Approach
  • Cloud Security Terms
  • What is a Shared Responsibility Model?
  • Security Benefits of Using Google Cloud
  • Cybersecurity Challenges and Threats to Data Privacy
  • How Organizations can Control and Manage Access to Cloud Resources?
  • How IT Operations Need to Adapt to Thrive in the Cloud?
  • Service Availability Requirements in the Cloud Vs in On-Premises Environments
  • Operational Challenges and Apply the Goals of Site Reliability Engineering (SRE)
  • Identify Google Cloud Solutions for Cloud Resource Monitoring
  • Application Performance Management

Show moredown

Who should attend this Google Cloud Digital Leader Certification Course?

The Google Cloud Digital Leader Training Course in the United States is designed for individuals who want to gain knowledge and skills associated with the core concepts and services of Google Cloud Platform (GCP). Given the growing reliance on cloud technologies and the specific nuances of GCP, the following individuals would benefit from attending this course:

  • Cloud Architects
  • Developers
  • Data Analysts
  • Data Scientists
  • Operations Engineers
  • Decision Makers
  • Network Professionals

Prerequisites of the Google Cloud Digital Leader Certification Course

There are no formal prerequisites for attending this Google Cloud Digital Leader Training Course.

Google Cloud Digital Leader Certification Course Overview

The Google Cloud Digital Leader Certification Course in the United States empowers professionals to navigate and excel in the dynamic realm of cloud technology. Understanding Google Cloud's core principles, services, and applications is paramount for businesses aiming to harness the full potential of cloud computing.

Proficiency in the Google Cloud Digital Leader course in the United States is crucial for IT professionals, business leaders, and aspiring cloud architects. Mastery of this subject allows professionals to lead innovative cloud initiatives, make informed strategic decisions, and drive organizational growth in a competitive market.

This intensive 1-day training in the United States equips delegates with comprehensive insights into Google Cloud's foundational concepts, architecture, and key functionalities. Delegates gain hands-on experience in leveraging Google Cloud services, enabling them to make informed decisions and effectively communicate the benefits of cloud technology within their organizations.

Course Objectives

  • To understand fundamental cloud concepts and Google Cloud services
  • To explore the Google Cloud Platform's architecture and its components
  • To gain proficiency in utilizing key Google Cloud tools and resources
  • To learn to evaluate cloud solutions and strategize their implementation
  • To develop skills in articulating the business value of Google Cloud services
  • To understand the security, compliance, and governance aspects of the platform
  • To collaborate effectively with technical teams on cloud-related projects
  • To cultivate a strategic mindset for leveraging Google Cloud's capabilities

After completing the Google Cloud Digital Leader Certification Course in the United States, delegates receive a prestigious certification acknowledging their expertise in Google Cloud's foundational concepts and their ability to drive strategic cloud initiatives, enhancing their professional credibility and opening doors to exciting career opportunities.

Show moredown

What’s included in this Google Cloud Digital Leader Certification Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Digital Leader Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Developer Professional Training Course Outline

Module 1: Introducing Cloud Computing and Google Cloud Platform

  • Google Cloud Platform Difference
  • Getting Started with Google Cloud Platform
  • Using Google APIs

Module 2: Compute Products

  • Google Compute Engine
  • Google App Engine
  • Next Generation DevOps Initiatives

Module 3: Storage Products

  • Google Cloud SQL
  • Cloud Storage
  • Google Cloud Datastore

Module 4: Big Data Products

  • Google BigQuery
  • Google Cloud Dataflow
  • Google Cloud Pub

Module 5: Networking and Services

  • Google Cloud DNS
  • Google Cloud Endpoints

Module 6: Management and Recipes

  • Cloud Platform DevOps Toolbox
  • Architecture Recipes for Google Cloud Platform

Show moredown

Who should attend this Google Cloud Developer Professional Training Course?

The Google Cloud Developer Professional Training Course in the United States is designed for Software Developers, Engineers, and individuals who are interested in becoming proficient in developing applications and solutions on the Google Cloud Platform (GCP). This course is beneficial for various professionals including:

  • Cloud Engineers
  • Full Stack Developers
  • Solution Architects
  • DevOps Engineers
  • Application Engineers
  • Microservices Developers
  • Data Engineers
  • API Developers

Prerequisites of the Google Cloud Developer Professional Training Course

There are no formal prerequisites for attending this Google Cloud Developer Professional Training Course. However, having a basic understanding of cloud computing, including the different types of cloud computing services is necessary.

Google Cloud Developer Professional Training Course Overview

Google Cloud Developer Professional Training in the United States is paramount in today's tech landscape. As businesses rapidly migrate to cloud-based infrastructures, proficiency in Google Cloud Platform Courses becomes indispensable. This course delves into Google Cloud's intricacies, comprehensively understanding its tools and allowing professionals to leverage its capabilities efficiently.

Proficiency in Google Cloud Platform Certification in the United States is vital for IT professionals, developers, and system architects. Mastering Google Cloud Courses enables seamless deployment, scalability, and management of applications and services, ensuring competitiveness and innovation in today's dynamic market.

This intensive 1-day training course in the United States empowers delegates with hands-on experience, practical insights, and real-world scenarios. It equips them with the skills to confidently navigate Google Cloud's offerings, enabling effective development, deployment, and maintenance of cloud solutions.

Course Objectives:

  • To comprehend Google Cloud infrastructure and services comprehensively
  • To implement best practices in Google Cloud application development
  • To optimize resource utilization and performance on Google Cloud Platform
  • To employ security measures effectively in Google Cloud environments
  • To design and manage scalable and resilient applications on Google Cloud
  • To utilize Google Cloud tools for data storage, processing, and analysis
  • To integrate and manage Google Cloud services efficiently
  • To troubleshoot and debug applications effectively on the Google Cloud Platform

After completing the Google Cloud Training in the United States, delegates can pursue the Google Cloud Developer Professional Certification. This certification validates their expertise in Google Cloud, showcasing their ability to design, develop, and manage robust applications and services on the Google Cloud Platform.

Show moredown

What’s included in this Google Cloud Developer Professional Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Developer Professional Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Online Self-paced (16 hours)

Google Advanced Data Analytics Professional Training Course Outline

Module 1: Introduction to Advanced Data Analytics

  • Role of Advanced Data Analytics
  • Benefits of Data Analytics
  • Techniques of Data Analytics
  • Data Analytics Life Cycle and Process

Module 2: Data Collection and Preparation

  • Google Analytics Data Collection
  • Categorizing into Users and Sessions
  • Applying Configuration Settings
  • Storing Data and Generating Reports
  • Creating a Measurement Plan

Module 3: Setting Up Data Collection and Configuration

  • Creating a Google Analytics Account
  • Configure your Profile
  • Grant Access to Other User
  • Add Tracking Code to Your Website

Module 4: Types of Data Analytics

  • Descriptive Analytics
  • Predictive Analytics
  • Diagnostic Analytics
  • Exploratory Analytics

Module 5: Phases of Data Analysis

  • Data Requirements Gathering
  • Data Collection
  • Data Cleaning
  • Data Analysis
  • Data Interpretation
  • Data Visualization

Module 6: Data Analytics Tools and Techniques

  • Introduction to Data Analytics Tools
  • SQL Basics
  • Algorithms
  • Data Analytics Programming Fundamentals

Module 7: Advanced Machine Learning Techniques

  • Ensemble Learning Methods
  • Neural Networks and Deep Learning
  • Natural Language Processing (NLP)
  • Recommender Systems

Module 8: Big Data Analytics

  • Introduction to Big Data
  • Big Data Storage and Processing Technologies
  • Distributed Computing and MapReduce
  • Data Streaming and Real-time Analytics

Module 9: Time Series Analysis

  • Understanding Time Series Data
  • Time Series Visualization and Decomposition
  • Forecasting Techniques
  • Evaluating Time Series Models

Module 10: Data Mining and Pattern Recognition

  • Introduction to Data Mining Concepts
  • Association Rule Mining
  • Clustering Techniques
  • Pattern Recognition and Anomaly Detection

Module 11: Text Analytics and Sentiment Analysis

  • Text Preprocessing and Tokenization
  • Sentiment Analysis Techniques
  • Named Entity Recognition (NER)
  • Text Classification and Topic Modeling

Module 12: Data Analytics in Business Decision-Making

  • Role of Data Analytics in Business Strategy
  • Data-Driven Decision-Making Process
  • Key Performance Indicators (KPIs) and Metrics
  • Measuring the Impact of Data Analytics on Business Outcomes

Show moredown

Who should attend this Google Advanced Data Analytics Professional Training Course?

The Google Advanced Data Analytics Professional Training Course in in the United States is designed for individuals who want to deepen their skills in advanced Data Analytics using Google Cloud Platform (GCP) tools and services. This course is beneficial for various professionals including:

  • Data Analysts
  • Data Scientists
  • Data Engineers
  • Cloud Architects
  • Data Visualization Experts
  • Database Developers
  • Data Quality Analysts

Prerequisites for the Google Advanced Data Analytics Professional Training Course

There are no formal prerequisites for attending this Google Advanced Data Analytics Professional Training Course.

Google Advanced Data Analytics Professional Training Course Overview

The Google Advanced Data Analytics Professional Training in in the United States is a comprehensive training designed to delve into the intricate realms of data analysis within the Google Cloud platform. In today's data-driven world, proficiency in Google Cloud Training has become imperative. The course equips individuals with the skills to navigate complex data sets efficiently, enabling informed decision-making and addressing contemporary business challenges.

Proficiency in Architecting Infrastructure with Google Cloud Platform Training in in the United States holds immense importance for professionals across diverse domains, including data scientists, analysts, and IT specialists. Mastery of this subject empowers professionals to harness the potential of data analytics tools, facilitating insightful data-driven strategies. As data continues to drive innovation and business success, mastering Google Cloud Courses becomes essential for staying competitive in the modern job market.

This intensive 2-day training in in the United States session caters to delegates seeking to enhance their data analytics skills, specifically within the Google Cloud environment. Through interactive sessions and practical demonstrations, delegates will gain hands-on experience, mastering key techniques and tools essential for effective data analysis within the Google Cloud Course.

Course Objectives:

  • To familiarize delegates with the fundamental concepts of data analytics in the Google Cloud environment.
  • To enable delegates to utilize advanced data analytics tools offered by Google Cloud effectively.
  • To demonstrate techniques for analyzing complex data sets efficiently.
  • To empower delegates with the skills to derive actionable insights from diverse data sources.
  • To provide practical knowledge for implementing data-driven strategies within Google Cloud environments.
  • To equip delegates with hands-on experience in utilizing Google Cloud’s analytical capabilities.
  • To guide delegates in employing best practices for data management and security within the Google Cloud platform.

After completing the Google Advanced Data Analytics Professional Training in in the United States, delegates will receive a certification endorsed by Google Cloud. This certification validates their proficiency in utilizing Google Cloud tools for advanced data analytics, enhancing their credibility and marketability in the ever-evolving field of data science and analysis.

Show moredown

What’s included in this Google Advanced Data Analytics Professional Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Advanced Data Analytics Professional Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Online Self-paced (16 hours)

Google Business Intelligence Professional Training Course Outline

Module 1: Introduction to Business Intelligence (BI)

  • Understanding Business Intelligence
  • How Business Intelligence Works?
  • Why is Business Intelligence Important?
  • How Major Industries Use Business Intelligence?

Module 2: Overview of Google BI Tools

  • Google Data Studio
  • Google BigQuery
  • Google Analytics
  • Google Sheets for BI

Module 3: Data Preparation and Cleansing

  • Data Collection and Data Sources
  • Data Transformation and Cleansing
  • Data Integration with Google Tools
  • Data Quality and Governance

Module 4: Google Data Studio

  • Introduction to Data Studio
  • Building Reports and Dashboards
  • Data Visualization Best Practices
  • Data Studio Connectors
  • Sharing and Collaboration

Module 5: Google BigQuery for Data Warehousing

  • Introduction to BigQuery
  • Structured Query Language (SQL) in BigQuery
  • Data Ingestion and Storage
  • Querying and Performance Optimization
  • Data Export and Backup

Module 6: Data Analytics with Google Sheets

  • Data Analysis Functions in Google Sheets
  • Pivot Tables and Charts
  • Data Visualization in Google Sheets
  • Data Collaboration and Sharing
  • Integrating Google Sheets with Other Google Tools

Module 7: Advanced Analytics with Google BigQuery

  • Advanced SQL Queries in BigQuery
  • Window Functions and Aggregations
  • Machine Learning in BigQuery
  • BigQuery Geospatial Analysis

Module 8: Google Analytics for Web and App Analytics

  • Introduction to Google Analytics
  • Setting Up Google Analytics
  • Tracking User Behavior
  • Analytics for E-commerce
  • Custom Reports and Dashboards

Module 9: Data Security and Compliance

  • Data Security Best Practices
  • Role-Based Access Control
  • Data Encryption and Privacy
  • Compliance with Regulations
  • Data Governance in Google BI

Module 10: Business Intelligence Deployment and Management

  • BI Project Lifecycle
  • BI Deployment Strategies
  • Performance Monitoring and Optimization
  • Scalability and Resource Management
  • Backup and Disaster Recovery

Module 11: Advanced Data Visualization Techniques

  • Advanced Data Visualization Principles
  • Customizing Charts and Graphs
  • Interactive Dashboards in Data Studio
  • Geographic and Time-Series Visualizations
  • Storytelling with Data

Module 12: Data Analytics and Insights

  • Predictive Analytics with Google Tools
  • Business Forecasting
  • Data-driven Insights and Recommendations
  • A/B Testing and Experimentation

Module 13: Data Integration and ETL

  • Extract, Transform, Load (ETL) Processes
  • Data Integration Strategies with Google Tools
  • Automating Data Pipelines
  • Data Warehousing and Analytics

Module 14: Business Intelligence in the Cloud

  • Cloud Based BI Solutions
  • Google Cloud BI Integrations
  • Cloud Data Warehousing and BI
  • Scalability and Cost Management

Show moredown

Who should attend this Google Business Intelligence Professional Training Course?

The Google Business Intelligence Professional Training Course in the United States is designed for professionals willing to learn how to use Google Cloud Platform (GCP) tools and services for business intelligence and data visualization. This course is beneficial for various professionals including:

  • Data Analysts
  • Business Analysts
  • Business Intelligence Managers
  • Data Engineers
  • Sales Managers
  • Data Visualization Experts
  • IT Consultants
  • Project Managers

Prerequisites for the Google Business Intelligence Professional Training Course

There are no formal prerequisites for attending this Google Business Intelligence Professional Training Course.

Google Business Intelligence Professional Training Course Overview

The Google Business Intelligence Professional Training course in the United States is a pivotal gateway to harnessing the power of data analytics within the Google Cloud framework. In today's data-driven landscape, businesses rely on robust BI solutions to derive actionable insights from vast data repositories. This course explores Google Cloud's suite of tools and methodologies tailored to elevate professionals' proficiency in extracting, processing, and visualizing data for informed decision-making.

Proficiency in Google Business Intelligence in the United States is crucial for professionals across diverse domains—analysts, marketers, and managers—who seek to harness data for optimal decision-making. Gaining expertise in Google Cloud's BI empowers individuals to decipher complex data sets, enabling data-driven strategies that optimize operations, enhance customer experiences, and fuel business growth.

This intensive 2-day training course in the United States is meticulously structured to empower delegates with hands-on experience and practical insights into Google Cloud's BI capabilities. Through comprehensive sessions led by industry experts, delegates will grasp the nuances of leveraging Google Cloud's BI tools, equipping them with the skills to proficiently analyze data, build insightful visualizations, and generate impactful reports, fostering enhanced decision-making.

Course Objectives:

  • To familiarize delegates with the fundamentals of Google Cloud BI tools
  • To demonstrate effective data extraction and transformation techniques using Google Cloud
  • To enable delegates to create compelling data visualizations for strategic insights
  • To explore advanced features for data analysis and interpretation within Google Cloud
  • To provide hands-on experience in utilizing Google Cloud BI tools for real-world scenarios
  • To impart best practices for optimizing data analytics workflows within Google Cloud
  • To equip delegates with skills to generate actionable business insights from data
  • To ensure delegates are prepared for the Google Cloud Platform Certification exam

After completing this course in the United States, delegates receive a validation of their newfound skills. This certification validates their proficiency in leveraging Google Cloud's BI tools, signifying their capability to harness data effectively, derive valuable insights, and strategically contribute to organizational success.

Show moredown

What’s included in this Google Business Intelligence Professional Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Business Intelligence Professional Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Online Self-paced (16 hours)

Google Project Management Professional Training Course Outline

Module 1: Project Management Life Cycle and Methodology

  • What is the Project Management Lifecycle?
  • Project Management Lifecycle
  • What is a Project Management Methodology?
  • Project Management Methodologies

Module 2: Organizational Structure

  • What Are Project Management Structures Used for?
  • Different Types of Project Organizational Structures
  • Functional Organizational Structure
  • Projectized Organizational Structure
  • Matrix Organizational Structure
  • How to Choose the Best Organizational Structure for the Team

Module 3: Working Effectively with Stakeholders

  • Where Are the Project Stakeholders?
  • What Do Stakeholders Really Want?
  • How Do You Work Effectively with Stakeholders?

Module 4: Building a Project Plan

  • What is Project Planning?
  • Project Plan Template
  • How to Create a Project Plan

Module 5: Managing Budgeting and Procurement

  • What is a Project Budget?
  • Importance of Project Budgeting
  • How to Estimate a Project Budget?
  • What is Procurement Management?
  • What is a Procurement Management Plan?
  • Procurement Documents
  • Procurement Management Process

Module 6: Managing Risks Effectively

  • What is Risk Management on Projects?
  • How to Manage Risk
  • What is Positive Risk?
  • How to Respond to Positive Risk
  • Managing Risk Throughout the Organization
  • Steps in the Risk Management Process

Module 7: Introduction to Project Execution

  • What is Project Execution?
  • Execution Phase of Project Management
  • Project Execution Steps
  • Project Execution Phase Activities
  • Importance of the Right Software

Module 8: Closing A Project

  • What is Project Closing?
  • Why is Project Closing Important?
  • How Project Closing Can Support Project Management Career?

Module 9: Implementing Scrum

  • Choose the Product Owner
  • Select the Development Team
  • Choose a SCRUM Master
  • Create the Backlog and Prioritize
  • Improve the Product Backlog
  • Sprint Planning Meeting
  • Organize and Conduct the Daily SCRUM
  • Retrospective Agile SCRUM

Module 10: Initiating a Project

  • What is Project Initiation?
  • Project Initiation vs. Project Planning
  • Why Does the Project Initiation Phase Matter?
  • Project Initiation Process
  • Project Planning

Module 11: Effective Stakeholder Communication

  • What are Stakeholder Communication Requirements?
  • Why is Stakeholder Communication So Important?
  • How Can I Improve Stakeholder Communication?

Show moredown

Who should attend this Google Project Management Professional Training Course?

The Google Project Management Professional Training Course in the United States is designed for individuals willing to enhance their Project Management skills using Google Workspace tools and techniques. This course is beneficial for various professionals including:

  • Project Managers
  • Business Analysts
  • Product Managers
  • Digital Marketing Managers
  • Sales Managers
  • Operations Managers
  • Event Planners
  • Supply Chain Managers

Prerequisites for the Google Project Management Professional Training Course

There are no formal prerequisites for attending this Google Project Management Professional Training Course. However, a basic familiarity with project environments and terminologies will be beneficial.

Google Project Management Professional Training Course Overview

Google Project Management Professional Training in in the United States equips individuals with essential project management skills within Google's cloud-based ecosystem. With the increasing reliance on cloud technologies, mastering project management within Google's infrastructure is crucial for efficient operations. This course provides insights into methodologies and tools tailored to Google's platform, making it highly relevant.

Proficiency in Google Cloud Project Management in the United States is vital for professionals seeking to optimize workflows, enhance collaboration, and streamline projects within Google's cloud environment. IT managers, project managers, and tech professionals dealing with cloud-based projects should aim to master these skills to ensure seamless operations and successful project execution.

This intensive 2-day training in the United States offers delegates a condensed yet comprehensive understanding of Google Cloud Project Management essentials. Participants gain insights into project planning, resource allocation, and effective utilization of Google Cloud tools. They learn to leverage Google Cloud's features to optimize project lifecycles, fostering efficiency and productivity.

Course Objectives:

  • To understand the fundamentals of project management within Google Cloud
  • To explore strategies for effective project planning and execution using Google Cloud tools
  • To optimize resource allocation and budgeting within Google Cloud projects
  • To implement best practices for team collaboration and communication in Google Cloud environments
  • To master monitoring, evaluation, and adaptation techniques for Google Cloud-based projects
  • To comprehend risk management and mitigation strategies specific to Google Cloud projects
  • To gain proficiency in utilizing Google Cloud tools for project analytics and reporting
  • To successfully apply learned principles to real-world Google Cloud project scenarios

After completing the Google Project Management Professional Training Course in the United States, delegates receive a certification. This certification validates their proficiency in Google Cloud Project Management, enhancing career prospects and affirming their ability to navigate and manage projects effectively within Google's cloud ecosystem.

Show moredown

What’s included in this Google Project Management Professional Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Project Management Professional Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Online Self-paced (16 hours)

Application Development with Cloud Run Training Course Outline

Module 1: Introduction to Cloud Run

  • What is Cloud Run?
  • Cloud Run Services
  • Scale to Zero and Minimum Instances
  • Pay-Per-Use Pricing for Services
  • Disposable Container Filesystem
  • When to Use Cloud Run Services?
  • Cloud Run Jobs
  • When to Use Cloud Run Jobs?
  • Cloud Run Integrations
  • Services or Jobs Must be Packaged in a Container Image

Module 2: Building Containers

  • Building Using a Dockerfile
  • Building Using Cloud Build
  • Building Locally and Pushing using Docker
  • Building Using Google Cloud's Buildpacks
  • Building with Google Cloud's Buildpacks Using the Pack Command Line

Module 3: Deploying to Cloud Run

  • Supported Container Registries and Images
  • Deploying a New Service
  • Deploying a New Revision of an Existing Service
  • Deploying Images from Unsupported Registries
  • Deploying Multiple Containers to a Service

Module 4: Service Identity and Authentication

  • Using Per-Service Identity
  • Permissions Required to Assign User-Managed Service Accounts
  • Fetching Identity and Access Tokens Using the Metadata Server
  • Authenticating Service-To-Service
  • Set Up the Service Account
  • Acquire and Configure the ID Token
  • Use the Authentication Libraries
  • Use the Metadata Server
  • Use Workload Identity Federation from Outside Google Cloud
  • Use a Downloaded Service Account Key from Outside Google Cloud
  • Receive Authenticated Requests

Module 5: Invoking with an HTTPS Request

  • Creating Public Services
  • Creating Private Services
  • Testing Private Services
  • Private Service to Service
  • Using a Middleware to Enhance Your Service

Module 6: Controlling Inbound and Outbound Requests

  • Restricting Ingress for Cloud Run
  • Accessing Internal Services
  • Setting Ingress
  • Static Outbound IP Address
  • Creating a Subnetwork
  • Creating a Serverless VPC Access Connector
  • Configuring Network Address Translation
  • Routing Cloud Run Traffic Through the VPC Network
  • Verifying the Static External IP
  • Deleting the Static External IP

Module 7: Cloud Run Service to Service Communication

  • Creating Serverless VPC Connector
  • Creating Receiving Service
  • Creating Calling Service
  • Service-to-Service Communication with Auth

Module 8: Use Workflows with Cloud Run and Cloud Functions

  • Deploy the First Cloud Functions Service
  • Deploy the Second Cloud Functions Service
  • Connect the Two Cloud Functions Services in a Workflow
  • Connect a Public REST Service in the Workflow
  • Deploy a Cloud Run Service
  • Connect the Cloud Run Service in the Workflow
  • Delete the Project

Show moredown

Who should attend this Application Development with Cloud Run Training Course?

The Application Development with Cloud Run Training Course in in the United States is designed for individuals willing to learn how to develop and deploy applications using Google Cloud Run, a serverless compute platform. This course is beneficial for various professionals including:

  • Software Developers
  • Web Developers
  • Full Stack Developers
  • DevOps Engineers
  • Technical Project Managers
  • System Administrators
  • Microservices Architects
  • Technical Consultants

Prerequisites for the Application Development with Cloud Run Training Course

There are no formal prerequisites for attending this Application Development with Cloud Run Training Course.

Application Development with Cloud Run Training Course Overview

The emergence of Google Cloud Training in the United States in Application Development with Cloud Run has become pivotal in modern tech landscapes. Mastering courses like this one is vital as cloud-based solutions gain prominence. Within the Google Cloud ecosystem, Cloud Run revolutionizes application development, making it scalable, portable, and efficient.

Proficiency in Application Development with Cloud Run Training in the United States for Cloud Run is imperative for developers, DevOps engineers, and IT professionals seeking to streamline application deployment. Mastery in this course ensures adeptness in deploying and managing applications effortlessly, leveraging the power of Cloud Run's serverless platform.

This intensive 2-day Application Development with Cloud Run Training in the United States covers many essential topics, from navigating IAM (Identity and Access Management) to securing GCP network infrastructure, operating systems, data, and cloud storage. Delegates will learn to configure IAM roles, service accounts, and custom roles and edit IAM policies. Additionally, the course covers aspects like securing instance groups, SSH access to Linux instances, and database security.

Course Objectives:

  • To comprehend the fundamentals of containerization and serverless computing within Google Cloud
  • To deploy, manage, and monitor applications effectively on Cloud Run
  • To optimize application performance and resource utilization
  • To implement security measures for applications deployed on Cloud Run
  • To scale applications seamlessly based on demand
  • To integrate CI/CD pipelines for efficient application deployment
  • To troubleshoot common issues and enhance application resilience
  • To leverage Google Cloud tools for advanced application management

After completing the course in the United States, delegates receive a certification, validating their expertise in Application Development with Cloud Run. This certification is a testament to their proficiency, opening doors to exciting career opportunities in cloud computing.

Show moredown

What’s included in this Application Development with Cloud Run Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Application Development with Cloud Run Certificate
  • Digital Delegate Pack

Show moredown

Not sure which course to choose?

Speak to a training expert for advice if you are unsure of what course is right for you. Give us a call on +1 7204454674 or Inquire.

Google Cloud Certification FAQs

Google Cloud Training is a cloud computing service suite that runs infrastructure services. It has vital services such as compute, storage and databases, networking, Big Data, Cloud AI, Management Tools, Identity and Security, Internet of Things (IoT), API Platform, etc.
A good starting point for Google Cloud Certifications is the Google Cloud Associate Cloud Engineer Certification, as it provides a solid foundation in GCP's core concepts and services. It's suitable for individuals who are new to Google Cloud and want to establish their cloud computing skills.
To successfully obtain a GCP (Google Cloud Platform) Certification exam, one should start by attending any of The Knowledge Academy’s Google Cloud Training Courses, taking practice exams, and adhering to a dedicated study schedule. Our training courses ensure that delegates are provided with everything needed for acing the qualification.
This course is a 1-day training course during which delegates participate in intensive learning sessions that cover various course topics.
Google Cloud Certifications can lead to roles like Cloud Engineer, Solutions Architect, Data Engineer, or DevOps Engineer. These certifications validate expertise in GCP services, making candidates valuable for cloud infrastructure, data management, and application development roles.
Professionals seeking to deepen their understanding of Google Cloud services, including developers, IT administrators, data engineers, and solution architects, benefit from these courses to enhance their skills in effectively managing and utilizing Google Cloud infrastructure.
There are no formal prerequisites for attending this Google Cloud Course. However, familiarity with Google Cloud Platform services would be beneficial for delegates but it’s not mandatory.
Yes, The Knowledge Academy allows its delegates to opt for a self-paced mode of learning under its flexible learning options.
Yes. The Knowledge Academy offers support for the delegates before, during, and after the course.
In this training, delegates will have intensive training with our experienced instructors, a digital delegate pack comprising important notes related to this course, and a certificate after course completion.
Yes, we provide corporate training for this training, tailored to fit your organization’s requirements.
If you need help accessing Google Cloud Training Courses, contact Customer Support. They assist with technical difficulties, enrollment problems, or access issues related to the training platform.
The Knowledge Academy is the Leading global training provider for Google Cloud Certification.
The training fees for Google Cloud Certification in the United States starts from $2495.
Show more down

Why we're the go to training provider for you

icon

Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

icon

Trusted & Approved

We are accredited by PeopleCert on behalf of AXELOS

icon

Many delivery methods

Flexible delivery methods are available depending on your learning style.

icon

High quality resources

Resources are included for a comprehensive learning experience.

barclays Logo
deloitte Logo
Thames Water Logo

"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

santander logo
bmw Logo
Google Logo

Looking for more information on Google Cloud Certification

cross

Unlock Exceptional Learning at Unbeatable Prices!

Special Discounts

red-starWHO WILL BE FUNDING THE COURSE?

close

close

Thank you for your enquiry!

One of our training experts will be in touch shortly to go over your training requirements.

close

close

Press esc to close

close close

Back to course information

Thank you for your enquiry!

One of our training experts will be in touch shortly to go overy your training requirements.

close close

Thank you for your enquiry!

One of our training experts will be in touch shortly to go over your training requirements.