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Learn about the latest Google Cloud Technologies to implement your strategies.
Easy to migrate infrastructure, whether it is on-premises to Google Cloud or any Cloud platform to GCP.
Learn about various fields such as database, administrative, business, finance and other IT profession fields.
Our training courses are served with the various delivery methods as per your requirement.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
Module 1: Introduction to Google Cloud Platform
Module 2: Setting Up Accounts and Billing
Module 3: Networking
Module 4: Working with VM Instances
Module 5: Scaling and Load Balancing Apps
Module 6: Isolating Instances and Apps
Module 7: Using Storage as a Service and Database as a Service
Module 8: Deployment and Monitoring
To help and support our clients we are providing a limited number of 250 daily discount codes. Hurry, first come, first served!
If you miss out, enquire to get yourself on the waiting list for the next day!
(312 remaining)
The Google Cloud Platform Fundamentals Training Course is designed for variety of roles that can benefit cloud-based solutions. This course can benefit professionals such as:
There are no formal prerequisites for this Google Cloud Platform Fundamentals Course.
This course teaches delegates about cloud platform fundamentals. This course focuses on networking, compute, storage, and database. Delegates will have a thorough understanding of Google cloud infrastructure, GCP regions, zones, edge caching, and cloud CDN. They will also gain an understanding of GCP networks, subnets, routes, and firewall rules.
This course will provide a comprehensive knowledge of Google compute engine machine types, instance, persistent disks, local SSDs, preemptible VMs. Delegates will get an understanding of how to deploy VMs with an App by console and command line. They will also acquire knowledge of Google compute engine instance templates, managed instance groups, and load balancing.
In this 1-day training, delegates will learn how to build a 3-tier web app with public front-end and private backend. Delegates will be familiarised with Google cloud storage, Google Cloud SQL, cloud spanner, Google cloud datastore, Google Cloud Bigtable and Google BigQuery. They will also gain knowledge of how to use gsutil command-line tool to perform operations on buckets and objects in cloud storage. At the end of this course, delegates will learn about Google cloud deployment manager and Google stack driver. They will gain an understanding of how to deploy infrastructure using a deployment manager.
Online Instructor-led (3 days)
Classroom (3 days)
Online Self-paced (24 hours)
Module 1: Introduction to Google Cloud Platform
Module 2: Setting Up Accounts and Billing
Module 3: Working with VM Instances
Module 4: Using Storage as a Service and Database as a Service
Module 5: Deployment and Monitoring
Module 6: System Design of Google Cloud Architecture Framework
Module 7: Operational Excellence
Module 8: Security, Privacy, and Compliance
Module 9: Cost Optimisation
Module 10: Load Balancing and Autoscaling
Module 11: Automating Infrastructure with Cloud Composer
To help and support our clients we are providing a limited number of 250 daily discount codes. Hurry, first come, first served!
If you miss out, enquire to get yourself on the waiting list for the next day!
(312 remaining)
The Architecting Infrastructure with Google Cloud Platform Training Course 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:
There are no formal prerequisites for this Architecting Infrastructure with Google Cloud Platform Training Course.
Architecting with Google Cloud Platform focuses on designing and planning a cloud solution architecture, managing and provisioning the cloud infrastructure. Along with this, it also focuses on analysing and optimising technical and business process, managing implementations of cloud architecture and designing for security and compliance.
This course will teach delegates about the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. In this course, delegates will learn about cloud resource manager and cloud AMI. They will also gain an understanding of stack driver logging and monitoring. This course describes Google cloud storage, cloud storage security concepts, trace, error reporting, and debug concepts. Delegates will learn how to manage databases on the Google cloud platform. They will also gain an understanding of virtual networks, interconnecting networks (hybrid networking) and virtual machines. In virtual machines, they will also learn about disks, images, snapshot and preemptible VM’s.
In this 3-day course, delegates will learn about load balancing and instance groups. They will gain an understanding of how to create a load-balanced managed instance group on google cloud. Delegates will learn how to deploy resources with Google cloud deployment manager. They will go through compute services, app engine, kubernetes engine, big data, machine learning, and data lifecycle. On course completion, delegates will also get an understanding of Google cloud, disaster recovery, security and compliance.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
Module 1: Google Cloud VPC Networking Fundamentals
Module 2: Controlling Access to VPC Networks
Module 3: Sharing Networks Across Projects
Module 4: Load Balancing
Module 5: Hybrid Connectivity
Module 6: Network Design and Deployment
Module 7: Network Monitoring and Troubleshooting
To help and support our clients we are providing a limited number of 250 daily discount codes. Hurry, first come, first served!
If you miss out, enquire to get yourself on the waiting list for the next day!
(312 remaining)
The Networking with Google Cloud Platform Course 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:
There are no formal prerequisites for this Networking with Google Cloud Platform Course.
Networking is an essential element in any field of technology. Networking in the Google Cloud Platform helps to set up a network within networking options. Google Cloud Platform allows using numerous network resources and services from the cloud with the lowest latency. GCP provides key components such as Virtual Private Cloud (VPC) networks, subnets, Cloud NAT, interconnection among networks, NAT, load balancing, cloud DNS, and Cloud CDN for implementation of networks.
This 1-day course will provide a complete knowledge of networking on Google Cloud Platform. Delegates will learn how to design and deploy a network in the Google cloud platform. They will get an understanding of Google cloud VPC networking, sharing networks, hybrid connectivity, as well as load balancing in the Google Cloud Platform. From this course, delegates will acquire the troubleshooting skills to resolve the technical issues of networking.
On course completion, delegates will be able to design and deploy a network in Google Cloud Platform as well as manage the network in GCP.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
Module 1: Introduction to Digital Transformation with Google Cloud
Module 2: Innovating with Data and Google Cloud
Module 3: Infrastructure and Application Modernisation
Module 4: Google Cloud Security and Operations
To help and support our clients we are providing a limited number of 250 daily discount codes. Hurry, first come, first served!
If you miss out, enquire to get yourself on the waiting list for the next day!
(312 remaining)
The Google Cloud Digital Leader Training Course 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:
There are no formal prerequisites for attending this Google Cloud Digital Leader Training Course.
A Cloud Digital Leader communicates the abilities of core services and products of Google Cloud and the way in which they are beneficial for businesses. The Cloud Digital Leader also depicts the applications and cloud solutions that support an organisation. It understands the fundamental concepts of the cloud and demonstrates wider cloud computing applications in a variety of applications. This training session explains the purpose and use cases of Google Cloud products that can be used to achieve desired business goals. Individuals with complete knowledge of Google Cloud Digital services will be able to work as digital leaders, solution architects, and other designations.
The Knowledge Academy’s 1-day Google Cloud Digital Leader Training course provides delegates with the capabilities of Google Cloud services and how they benefit organisations. During this training, delegates will learn how to identify common Google Cloud solutions for data management and smart analytics. They will also learn about the ways adopting cloud technology affects the Total Cost of Ownership (TCO) and the fundamentals of cloud security. This course is led by our highly skilled and professional trainer, who has years of teaching experience.
Course Objectives
At the end of this training, delegates will be able to digitalise data by detecting the Google Cloud services and products as well as leverage innovation across an organisation. They will also be able to modernise applications and infrastructure with Google Cloud in order to deliver modern services to customers.
Online Instructor-led (2 days)
Classroom (2 days)
Online Self-paced (16 hours)
Module 1: Introduction to Advanced Data Analytics
Module 2: Data Collection and Preparation
Module 3: Setting Up Data Collection and Configuration
Module 4: Types of Data Analytics
Module 5: Phases of Data Analysis
Module 6: Data Analytics Tools and Techniques
Module 7: Advanced Machine Learning Techniques
Module 8: Big Data Analytics
Module 9: Time Series Analysis
Module 10: Data Mining and Pattern Recognition
Module 11: Text Analytics and Sentiment Analysis
Module 12: Data Analytics in Business Decision-Making
To help and support our clients we are providing a limited number of 250 daily discount codes. Hurry, first come, first served!
If you miss out, enquire to get yourself on the waiting list for the next day!
(312 remaining)
The Google Advanced Data Analytics Professional Training Course 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:
There are no formal prerequisites for attending this Google Advanced Data Analytics Professional Training Course.
Google Data Analytics is a comprehensive approach to extracting valuable insights and meaning from vast datasets using advanced tools and techniques. As a powerful tool in the world of data-driven decision-making, Google Data Analytics enables organisations to transform raw data into actionable intelligence, unlocking valuable business opportunities and optimising performance. By attaining expertise in Google Advanced Data Analytics, organisations can leverage data more effectively, leading to improved decision-making, increased operational efficiency, and enhanced overall performance. Google Advanced Data Analytics Professional Training Course enhances an individual’s technical expertise in data analytics as well as boosts their credibility. This training provides a clear pathway for career advancement and personal growth in the rapidly evolving field of data analytics.
During this 2-day Google Advanced Data Analytics Professional Training Course, delegates will learn how to collect, preprocess, and analyse large and complex datasets to extract valuable patterns. They will become proficient in data visualisation, enabling them to communicate findings effectively and make data-driven recommendations. Delegates will also learn various machine learning algorithms, including ensemble methods, neural networks, and natural language processing, empowering them to build predictive models and develop recommender systems. This training will be conducted by our highly professional and skilled trainer, who has years of experience in teaching.
Course Objectives
After attending this Google Advanced Data Analytics Professional Training Course, delegates will be able to effectively communicate their findings and support data-driven decision-making processes within their organisations. They will also be able to identify critical relationships and anomalies within datasets, aiding in optimising business processes.
Online Instructor-led (2 days)
Classroom (2 days)
Online Self-paced (16 hours)
Module 1: Introduction to Business Intelligence (BI)
Module 2: Overview of Google BI Tools
Module 3: Data Preparation and Cleansing
Module 4: Google Data Studio
Module 5: Google BigQuery for Data Warehousing
Module 6: Data Analytics with Google Sheets
Module 7: Advanced Analytics with Google BigQuery
Module 8: Google Analytics for Web and App Analytics
Module 9: Data Security and Compliance
Module 10: Business Intelligence Deployment and Management
Module 11: Advanced Data Visualisation Techniques
Module 12: Data Analytics and Insights
Module 13: Data Integration and ETL
Module 14: Business Intelligence in the Cloud
To help and support our clients we are providing a limited number of 250 daily discount codes. Hurry, first come, first served!
If you miss out, enquire to get yourself on the waiting list for the next day!
(312 remaining)
The Google Business Intelligence Professional Training Course is designed for professionals willing to learn how to use Google Cloud Platform (GCP) tools and services for business intelligence and data visualisation. This course is beneficial for various professionals including:
There are no formal prerequisites for attending this Google Business Intelligence Professional Training Course.
Google Business Intelligence is a comprehensive set of tools, technologies, and processes that enable organisations to transform raw data into valuable insights, facilitating data-driven decision-making. Google Business Intelligence holds immense significance as it empowers organisations to harness the power of data for strategic planning, improved efficiency, and better customer understanding. By undergoing Google Business Intelligence Professional Training Course, organisations can establish a data-driven culture, where employees develop the skills to extract meaningful patterns from complex data sets. For individuals, this training offers the opportunity to become proficient in using BI tools and techniques, enabling them to contribute significantly to their organisation's success. This training opens doors to diverse career paths as data analysts, business intelligence specialists, data scientists, and other roles that demand analytical and strategic thinking skills.
During this 2-day Google Business Intelligence Professional Training Course, delegates will learn the process of creating a successful BI strategy, from identifying organisational goals to turning data into actionable insights. They will also learn about different categories of BI analysis and explore the criteria for choosing the right BI platform for their business. They will be introduced to various BI tools and technologies, enabling them to work with data efficiently. This training will be conducted by our highly professional and skilled trainer, who has years of experience in teaching.
Course Objectives
After attending this Google Business Intelligence Professional Training Course, delegates will be able to choose the right BI platform for their specific business needs, ensuring efficient data integration, security, and usability. They will be able to implement Decision Support Systems, enhancing collaboration and knowledge sharing within their teams.
Online Instructor-led (3 days)
Classroom (3 days)
Online Self-paced (24 hours)
The following modules are focused on acquiring knowledge about the Data Engineering on Google Cloud Platform. Delegates will learn about google cloud Dataproc and its running jobs as well as get an understanding of how to integrating Dataproc with Google Cloud platform. These modules will cover all essential concepts that required to become a Data Engineer on Google Cloud Platform.
Module 1: Google Cloud Dataproc Overview
Module 2: Running Dataproc Jobs
Module 3: Integrating Dataproc with Google Cloud Platform
Module 4: Unstructured Data with Google’s Machine Learning APIs
Module 5: Serverless Data Analysis with BigQuery
Module 6: Serverless, Autoscaling Data Pipelines with Dataflow
Module 7: Getting Started with Machine Learning
Module 8: Building ML Models with TensorFlow
Module 9: Scaling ML Models with CloudML
Module 10: Architecture of Streaming Analytics Pipelines
Module 11: Ingesting Variable Volumes
Module 12: Implementing Streaming Pipelines
Module 13: Streaming Analytics and Dashboards
Module 14: High Throughput and Low-Latency with Bigtable
To help and support our clients we are providing a limited number of 250 daily discount codes. Hurry, first come, first served!
If you miss out, enquire to get yourself on the waiting list for the next day!
(312 remaining)
The Data Engineering with Google Cloud Platform Course 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:
There are no formal prerequisites for this Data Engineering with Google Cloud Platform Course.
As we all know, Google is the curiosity Planner within Global technologies development. Google always responsible for changing the Curiosity to implementation the terms with perfections. The Google cloud platform provided numerous services for users and developers to develop future technologies and products. Google provides the data engineering service on its Google Cloud Platform. By collecting transforming and publishing data Engineer can enable data-driven for decision-making term. Data engineer can design, build, operationalise, secure and monitor data processing systems with a particular emphasis on security and compliance as well as scalability, efficiency, reliability and portability. Data engineer can able to leverage, deploy and continuously train pre-existing machine learning models.
This 3-day course provides the ability to implementation of data processing arrangements on the Google Cloud Platform. Delegates will learn about Google Cloud platform services are using for Data management. The Google cloud DataProc and its running Jobs concepts are also included in this course. Delegates will gain a better knowledge of how to design and build data processing systems on this platform as well as learn about process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. They also gain an understanding of how to integrating Dataproc with Google Cloud Platform. Also, Delegates have a chance to acquire technical knowledge of unstructured data with Google’s machine learning APIs and also gain an understanding of serverless Data Concepts from this course. They will gather knowledge of how to design a data processing system, build an end to end data pipelines, analyse data and machine learning.
Online Instructor-led (2 days)
Classroom (2 days)
Online Self-paced (16 hours)
Module 1: Project Management Life Cycle and Methodology
Module 2: Organisational Structure
Module 3: Working Effectively with Stakeholders
Module 4: Building a Project Plan
Module 5: Managing Budgeting and Procurement
Module 6: Managing Risks Effectively
Module 7: Introduction to Project Execution
Module 8: Closing A Project
Module 9: Implementing Scrum
Module 10: Initiating a Project
Module 11: Effective Stakeholder Communication
To help and support our clients we are providing a limited number of 250 daily discount codes. Hurry, first come, first served!
If you miss out, enquire to get yourself on the waiting list for the next day!
(312 remaining)
The Google Project Management Professional Training Course 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:
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 refers to the application of effective methodologies, tools, and techniques to plan, execute, and control projects within the Google ecosystem. It is crucial for the success of various initiatives within Google, ensuring projects are completed efficiently, on time, and within budget. This training provides individual’s valuable skills that enhance their ability to lead and manage projects effectively. This training equips organisations with skills to handle complex initiatives, leading to streamlined processes, and enhanced project success rates. Moreover, this training provides a strong foundation for individuals to pursue a rewarding career in project management, granting access to diverse industries and higher-level leadership roles.
The Knowledge Academy’s 2-day Google Project Management Professional Training Course provides delegates with comprehensive knowledge of the essential principles and practices of Google Project Management. During this training, they will learn about project management lifecycle and methodologies, enabling them to plan, execute, and monitor projects effectively and many more. This course will be led by our highly skilled and knowledgeable trainer, who has years of experience in teaching and will help delegates get a complete understanding of this course.
Course Objectives
After attending this training, delegates will be able to proactively identify and manage risks, including leveraging positive risk opportunities. They will also be able to implement the Scrum framework and agile practices in project execution.
Online Instructor-led (2 days)
Classroom (2 days)
Online Self-paced (16 hours)
Module 1: Interacting with BigQuery
Module 2: Running and Managing Jobs
Module 3: Working with Datasets
Module 4: Working with Table Schemas
Module 5: Working with Tables
Module 6: Working with Partitioned Tables
Module 7: Working with Clustered Tables
Module 8: Working with Views
Module 9: Labeling BigQuery Resources
Module 10: Loading Data into BigQuery
Module 11: Querying BigQuery Data
Module 12: Querying External Data Sources
Module 13: Controlling BigQuery Costs
Module 14: Securing BigQuery Resources
Module 15: BigQuery API Basics
To help and support our clients we are providing a limited number of 250 daily discount codes. Hurry, first come, first served!
If you miss out, enquire to get yourself on the waiting list for the next day!
(312 remaining)
The Google BigQuery Training Course 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:
There are no formal prerequisites for this Google BigQuery Training Course.
BigQuery is Google’s fully managed, petabyte-scale, low-cost analytics data warehouse. It is an enterprise data warehouse that solves storing and querying massive datasets problem by enabling super-fast SQL queries using the processing power of Google’s Infrastructure. Delegates can access BigQuery by using command-line, by using Classic web UI or GCP console, or by making calls to the BigQuery REST API using a variety of client libraries such as Java, .NET, or Python.
This course teaches delegates about running and managing jobs, working with datasets, table schema, partitioned tables, clustered tables, and views. Delegates will acquire knowledge of how to add, view, update, filter, and delete labels in BigQuery resources. This course describes how to load data into BigQuery and querying BigQuery data. Delegates will learn how to query externally partitioned data, federated queries with cloud SQL data, query cloud big table data, cloud storage, and Google drive data. In addition, delegates will also gain an understanding of controlling BigQuery costs, securing BigQuery resources, monitoring, logging and BigQuery API.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
Module 1: Introduction
Module 2: Project Deployment
Module 3: Resource Deployment
Module 4: Authentication and Authorisation
Module 5: Networking
Module 6: Cloud Key Management
Module 7: Secret Manager and Logging
Module 8: Detective Controls
To help and support our clients we are providing a limited number of 250 daily discount codes. Hurry, first come, first served!
If you miss out, enquire to get yourself on the waiting list for the next day!
(312 remaining)
The Introduction to Google Cloud Security Training Course is designed for those who want to get better at cloud-based security administration and management for the Google Cloud Platform (GCP). This course can especially be beneficial to the following professionals:
There are no formal prerequisites for this Introduction to Google Cloud Security Course.
This course will teach the core fundamentals necessary to secure your Google Cloud environment properly and manage who has access to what resources. This course focuses on identity and access management, securing GCP network infrastructure, securing operating system and data.
In IAM, delegates will learn about GCP resource hierarchy, navigating IAM, adding IAM roles, service account, custom roles, and edit IAM policy. They will acquire knowledge of how to secure GCP network infrastructure. Delegates will go through Virtual Private Cloud, firewall basics, and automate firewall rules for a web server, and network IAM roles. This course describes how to secure your operating system. Delegates will learn about securing scaling instance groups, SSH keys and metadata, securing SSH access to Linux instances and IAM roles.
This course describes cloud storage IAM roles, ACLs, and database security. Delegates will learn about GCP logging and monitoring with stackdriver. They will also acquire knowledge of encryption on Google Cloud Platform and key management services.
Online Instructor-led (2 days)
Classroom (2 days)
Online Self-paced (16 hours)
Module 1: Introduction to Cloud Run
Module 2: Building Containers
Module 3: Deploying to Cloud Run
Module 4: Service Identity and Authentication
Module 5: Invoking with an HTTPS Request
Module 6: Controlling Inbound and Outbound Requests
Module 7: Cloud Run Service to Service Communication
Module 8: Use Workflows with Cloud Run and Cloud Functions
To help and support our clients we are providing a limited number of 250 daily discount codes. Hurry, first come, first served!
If you miss out, enquire to get yourself on the waiting list for the next day!
(312 remaining)
The Application Development with Cloud Run Training Course 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:
There are no formal prerequisites for attending this Application Development with Cloud Run Training Course.
Application Development with Cloud Run is a comprehensive Training Course designed to equip developers with the knowledge and skills needed to build and deploy applications using Google Cloud Run, a serverless computing platform. Cloud Run offers a powerful and scalable solution, enabling developers to run applications in stateless containers, providing the flexibility to focus on code without worrying about infrastructure management. This training enables organisation to embrace the cloud-native approach, leading to faster application development and deployment cycles, reduced operational costs, and enhanced performance. For individual developers, mastering Cloud Run opens up exciting career opportunities.
The Knowledge Academy’s 2-day Application Development with Cloud Run Training Course provides delegates with a comprehensive set of skills and knowledge essential for building and deploying modern serverless applications on Google Cloud Run. During this training, they will learn about the fundamentals of cloud-native development, introducing delegates to the concepts of containerisation and serverless computing and many more. This course will be led by our highly skilled and knowledgeable trainer, who has years of experience in teaching and will help delegates get a complete understanding of this course.
Course Objectives
After attending this training, delegates will be able to utilise Cloud Run Services and Jobs for efficient application development. They will also be able to implement graceful shutdowns and manage outbound requests effectively.
Online Instructor-led (2 days)
Classroom (2 days)
Online Self-paced (16 hours)
Module 1: Introduction of Google Search Appliance
Module 2: Setting Up
Module 3: Crawling
Module 4: Indexing
Module 5: One Box
Module 6: Search Experience
Module 7: Essentials
To help and support our clients we are providing a limited number of 250 daily discount codes. Hurry, first come, first served!
If you miss out, enquire to get yourself on the waiting list for the next day!
(312 remaining)
The Google Search Appliance Fundamentals Course is designed for professionals who want to get better at configuring, managing, and implementing Google Search Appliance (GSA) in their organisations. The Google Search Appliance Fundamentals Course can benefit individuals such as:
There are no formal prerequisites for this Google Search Appliance Fundamentals Course.
This course teaches delegates how to administrate and customise their Google Search Appliance. This course focuses on crawling and indexing documents from the web server and file system, using feeds and connectors to insert content into the index. Along with this, delegates will also learn how to implement one box modules, modify the presentation of search results, and implement security when serving results.
In this course, delegates will acquire knowledge of how the continuous crawler locates and indexes content. They will also learn about how to create, manage, and test front ends with the page layout helper. This course describes how Onebox modules integrate with enterprise applications and learn the difference between internal and external one box modules.
During this course, delegates will gain an understanding of how feeds integrate with content management systems. They will also learn how to create and submit different types of feeds: web, metadata and content. In this 2-day course, delegates will gain an understanding of how to implement directory service (LDAP) integration and forms authentication security.
Online Instructor-led (2 days)
Classroom (2 days)
Online Self-paced (16 hours)
The Course is based on how to develop applications with the Google Cloud Platform. The following modules are arranged to provide better knowledge of application development, Google Cloud SDKs, Data storage options, debugging, and Monitoring performance for application development.
Module 1: Introduction to Google Cloud Platform
Module 2: Setting Up Accounts and Billing
Module 3: Networking
Module 4: Working with VM Instances
Module 5: Scaling and Load Balancing Apps
Lab: Scale and Load Balance Instances and Test Under Load
Module 6: Isolating Instances and Apps
Lab: Build 3-Tier Web App with Public Front-End and Private Backend
Module 7: Developing Application
Module 8: Using Storage as a Service and Database as a Service
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
Lab: Deploy Your Infrastructure Using Deployment Manager
To help and support our clients we are providing a limited number of 250 daily discount codes. Hurry, first come, first served!
If you miss out, enquire to get yourself on the waiting list for the next day!
(312 remaining)
The Developing Applications with Google Cloud Platform Course is suitable for anyone who want 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 individuals such as:
There are no formal prerequisites for this Developing Applications with Google Cloud Platform Course.
The Google Cloud Platform provides Platform as a Service (PaaS), Infrastructure as a service (IaaS), and Serverless computing environments. Google cloud platform is allowed to develop and maintain applications. The app engine is a platform for developing and hosting web applications in Google-managed data centres. There are many alternative cloud platforms that provides managed and better tools for developing applications. But, Google provides future proof infrastructure and the services at high availability to develop applications.
In this 2-day course, delegates will get a complete understanding of how to develop applications with GCP and its essential terms. Delegates will learn how to design, develop and deploy applications. This course teaches how to use GCP services and pre-trained machine learning API to build scalable, secure, and intelligent cloud-native applications. Delegates will learn about data storage options for the application's data as well as they will gain knowledge of debugging, trace and monitor applications. In addition, they will also learn about deployment services and runtime environments, such as Google Container.
On course completion, delegates will be able to develop applications with GCP as well as manage deploying applications.
Online Instructor-led (2 days)
Classroom (2 days)
Online Self-paced (16 hours)
Module 1: Introduction to Compute Engine
Module 2: Images
Module 3: Create VM Instance
Module 4: Create Custom Images
Module 5: Migrate VMs
Module 6: Connect to VMs
Module 7: Manage Storage
Module 8: Backup and Restore
Module 9: Manage VMs
To help and support our clients we are providing a limited number of 250 daily discount codes. Hurry, first come, first served!
If you miss out, enquire to get yourself on the waiting list for the next day!
(312 remaining)
The Google Cloud Compute Engine Course is suitable for anyone who want 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 individuals such as:
There are no formal prerequisites for this Google Cloud Compute Engine Course.
Compute Engine allow to create and run virtual machines on Google Cloud Infrastructure. It offers scalable performance, and value that enables you to launch large compute clusters quickly on Google’s infrastructure. Delegates can run thousands of virtual CPUs on a system that has been designed to be fast and to offer strong consistency of performance.
This course teaches delegates how to create and connect VM instances. Delegates will learn how to create, delete, and depreciate custom images. They will also learn about sharing images, snapshots, and disks across projects. This course describes how to export and import custom images and VM instances. Delegates will get an understanding of how to create and manage groups of instances.
During this Google Cloud Compute Engine training, delegates will learn how to create a PTR record for a VM instance. They will also acquire knowledge of how to deploy containers, scale application, monitor activity, label resources, and grant access to compute engine resources. In this 2-day course, delegates will learn how to migrate VMs and enable nested virtualisation for VM instances.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
Module 1: Introduction to Google Cloud
Module 2: Create Storage Buckets
Module 3: Manage Storage Buckets
Module 4: Upload and Download Object
Module 5: Manage Objects
Module 6: Control Data Lifecycles
Module 7: Manage Projects, Folders, and HMAC Keys
Module 8: Cloud Storage FUSE
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The Google Cloud Storage Course 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:
There are no formal prerequisites for this Google Cloud Storage Training Course.
Google Cloud Storage provides managed cloud storage at any time with high availability. It is used for serving website content, storing data for archival and disaster recovery or distributing large data objects. It is also integrated storage into apps within a single unified API. This is Designed for secure and durable storage. Google Cloud Storage Included Access data instantly from any storage class. From this Google Cloud Technology, User can easily store data in the cloud to get secure and highly available object storage at the lowest latency. Apart from Cloud Storage Product, Google Cloud Platform also provides more storage products such as Persistent Disk, Cloud File store, cloud storage for firebase, data transfer services and drive enterprise.
This 1-day course will teach about Cloud Storage provided by Google Cloud Platform. Delegates will learn about key terms of Google Cloud Storage. This course provides a better knowledge of Storage classes and buckets. Delegates will get an understanding of access control of the Google Cloud Platform to use the storage services of GCP. For security perspective, the topic of encryption is also included in this course. From the encryption options and keys concepts, delegates will get an understanding of the security strategies, and they can entirely use encryption options. Beside this, delegates will get familiarised with the concept of authentication. Learners will also gain knowledge of how to use Google Cloud Platform user interface.
After the course completion, delegates will be able to create cloud storage and manage accordingly. They will also work with Google Cloud Buckets and objects to get the skill for Google Cloud Storage.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
This course will provide accurate and essential knowledge of Google App Engine. This course is created to provide knowledge of Google App Engine to delegates. The following modules are arranged in a way that will teach about the working process of Google App Engine from basic to advanced concepts.
Module 1: Runtime Environment
Module 2: Handling Web Requests
Module 3: Understanding the Datastore
Module 4: Data Modelling, Queries, Indexes, and Transactions
Module 5: Integrating Search and Task Queues
Module 6: Reaching Out and Sending E-Mails
Module 7: Working with the Google App Engine Services
Module 8: Application Deployment
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The Developing with Google App Engine Course 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:
There are no formal prerequisites for this Developing with Google App Engine Training Course.
The App Engine is a fully managed, serverless platform to develop and host web applications at scale. Google App Engine supports various popular languages, libraries, and a framework for developing applications. Based on demand, Google App Engine provision servers and scale app instances. It provides two environments – standard and flexible. There is no need to maintain or provision a server for development as it provides built-in services as a requirement.
This 1-day course will teach about Google App Engine and its essential terms. Delegates will learn about how to integrate with other Google products as well as establish a workflow. Delegates will gain an understanding of App Engine on Windows as well as app engine services. Delegates will acquire knowledge of how to work with images, style sheets, and other static files. They will get familiarised with Python and App Engine. In addition, delegates will work with HTML variables and HTML Templates.
During this course, delegates will learn about implementing App Engine Storage. Delegates will also learn about request handlers and instances, DataStore Entities, Datastore Queries, and managing the request logs. On course completion, delegates will be able to develop scalable web and mobile applications on Google’s infrastructure and manage applications on Google App Engine.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
Module 1: Overview of Cloud Dataflow
Module 2: Build Pipelines
Module 3: Run Pipeline
Module 4: Monitor
Module 5: Optimise
Module 6: Manage
Module 7: Dataflow Development Guide
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The Google Cloud Dataflow Training Course 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 individuals such as:
There are no formal prerequisites for this Google Cloud Dataflow Training Course.
Cloud Dataflow is a fully managed service for transforming data in stream and batch modes with equal reliability. This course teaches delegates how to deploy batch and streaming data processing pipelines using Dataflow, including directions for using service features. The Apache Beam SDK is an open-source programming model enabling delegates to develop batch and streaming pipelines. They create their pipelines with an Apache Beam program and then run them on the Dataflow service.
In this 1-day course, delegates will acquire knowledge of how to create and deploy pipeline. They will also learn how to troubleshoot, update an existing pipeline, and stop running pipeline. This course describes Google provided templates and how to create and run templates. Delegates will get an understanding of how to configure internet access and firewall rules. In addition, they will also learn how to use cloud pub/sub seek with cloud dataflow and create a cloud dataflow SQL jobs.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
Module 1: Overview of Google Cloud Spanner
Module 2: Work with Instances
Module 3: Work with Databases
Module 4: Connect
Module 5: Backup and Restore
Module 6: Secure
Module 7: Migrate to Cloud Spanner
Module 8: Design and Develop
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The Google Cloud Spanner Course 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:
There are no formal prerequisites for this Google Cloud Spanner Training Course.
Cloud Spanner is a scalable, enterprise-grade, globally distributed, and strongly consistent database service built for the cloud to combine the benefits of relational database structure with non-relational horizontal scale. This training will allow organisations to facilitate global online transaction processing deployment, SQL semantics, highly available horizontal scaling, and transactional consistency. This course will teach students about the spanner universe and how to apply transactions across rows, columns, tables, and databases. Individuals with Google Cloud Spanner knowledge and skills will be able to obtain high-paying jobs and advance up the success ladder.
In this 1-day Google Cloud Spanner Training course, delegates will gain a comprehensive understanding of how to design, deploy, and manage a globally distributed database using Google Cloud Spanner. They will also gain the knowledge and skills required to build cloud-native applications that can handle real-time data and scale seamlessly across regions. Our highly expert trainer with years of teaching experience will conduct this course and help delegates understand all necessary topics.
Course Objectives
After attending the Google Cloud Spanner Training, the delegates will be able to control the replication and placement of data using automatic multi-site replication and failover. They will also be able to create and manage Cloud Spanner databases and instances, as well as optimise performance, integrate with other GCP services, and build real-time cloud-native applications.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
This outline focuses on providing a complete essential component of Google Cloud Firestore. The following modules are arranged to get a better understanding of this technology.
Module 1: Introduction to Firestore
Module 2: Managing Data
Module 3: Querying Data
Module 4: Securing Data for Mobile/Web Clients
Module 5: Solutions
Module 6: Use Key Visualiser
Module 7: Create Event-driven Architectures with Eventarc
Module 8: Backup and Restore
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The Google Cloud Firestore Course is suitable for 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:
There are no formal prerequisites for this Google Cloud Firestore Training Course.
Google Cloud Firestore is a fully managed database service by Google on the Google Cloud Platform. It is a highly scalable database service. While the cloud Firestore interface has almost the same database features as traditional databases and NoSQL databases, but still it differs from them by its relationships between data object. It also provides a facility to analytic data and transaction data. Google Cloud Firestore is built upon Google’s Bigtable and Megastore technology. Cloud Firestore is a NoSQL documents database built for automatic scaling, high performance, and ease of application development. It also offers transactions that affect multiple databases and scale automatically to handle loads. Cloud Firestore is a highly-scalable NoSQL database for the application as well as it automatically handles sharding and replication, providing high availability and durability of a database that scales automatically to handle applications’ load.
This 1-day course will provide a complete knowledge of Cloud Datastore and its essential terms. Delegates will become familiarised with all the concepts of Google Cloud Firestore. From this course, delegates will get an understanding of entities, properties and keys as well as learn more about database queries. Within this course, delegates will also gain knowledge of indexes and transactions terms of cloud firestore in datastore mode.
During this course, delegates will get an understanding of how to handle errors. On course completion, delegates will become familiarised with the functionality of Google cloud datastore mode. In addition, they will be able to use features of the datastore mode interface accurately.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
Module 1: Introduction to Google Cloud Platform
Module 2: Compute and Storage Fundamentals
Module 3: Data Governance and Security
Module 4: Data Analytics on the Cloud
Module 5: Scaling Data Analysis
Module 6: Machine Learning
Module 7: Data Processing Architectures
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The Big Data and Machine Learning with Google Cloud Platform Course 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:
There are no formal prerequisites for this Big Data and Machine Learning with Google Cloud Platform Course.
This course introduces delegates to the big data and machine learning capabilities of Google Cloud Platform. It provides an overview of the Google Cloud Platform and then dives into the data processing capabilities. Delegates will learn about the Google cloud platform big data products and will acquire knowledge of how to compute and store. They will learn how to set up ingest transform publish data processing pipeline.
In this 1-day course, delegates will get an understanding of how to import data into cloud SQL and run queries and machine learning recommendations with Spark on Dataproc. Delegates will get familiarised with fast random access, Datalab, and BigQuery. They will learn how to build machine learning datasets and machine learning with TensorFlow.
At the end of this course, delegates will learn about data processing architectures: message-oriented architectures with Pub/Sub and creating pipelines with dataflow.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
This course is based on the Google Cloud Bigtable and its essentials terms to acquire the skills of designing and managing the database. Technically, this outline is designed to provide the best knowledge of the design database. So let's start with this course and acquire excellent skills to work on Google Cloud Bigtable.
Module 1: Get Started with Cloud Bigtable
Module 2: Provision and Manage
Module 3: Develop
Module 4: Monitor and Troubleshoot
Module 5: Secure
Module 6: Migrate
Module 7: Integrate
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The Google Cloud Bigtable Course 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:
There are no formal prerequisites for this Google Cloud Bigtable Training Course.
The Google Cloud Bigtable is Google’s NoSQL and fully managed database service. It is responsible for managing the database and handling the configuration as well as tuning of the database. This technology sparsely populates a table that can scale to billions of rows and thousands of columns, enabling to store terabytes or even petabytes of data. Cloud Bigtable is perfect for storing large amounts of single-keyed data with very low latency. It performs read and write throughput at low latency and is an ideal data source for MapReduce operations. It exposed to applications through multiple client libraries. Cloud Bigtable integrates easily with popular big data tools such as Hadoop, Cloud, Dataflow, and Cloud Dataproc.
This 1-day course will provide a comprehensive knowledge of Google Cloud Bigtable and its essential terms. Delegates will learn about how to design a database with Google cloud Bigtable schema and storing time-series data. From this course, they will get an understanding of how to create and manage instances. For manage instances, delegates will acquire the skills of data storage selections, handling labels, modifying and monitoring strategies as well as managing data. Delegates will also get a better understanding of garbage data collections, the configuration of garbage collection and understand the concept of storing sequential numbers in timestamps. The troubleshooting for resolving the real-time issues is also included in this course.
On course completion, delegates will be able to design a database with Google Cloud Bigtable schema and manage the database for an application as well as troubleshooting with key Visualiser.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
Module 1: Introduction to Python and Google Cloud Platform
Module 2: Python Fundamentals
Module 3: Google Cloud Storage with Python
Module 4: Data Processing with Python and GCP
Module 5: Python and GCP Machine Learning Services
Module 6: Building Web Applications with Python and GCP
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The Python with Google Cloud Platform Course is suitable for those who want to get better at Python programming and its implementations in application development through the Google Cloud Platform. The Python with Google Cloud Platform Training Course can benefit professionals such as:
There are no formal prerequisites for this Python with Google Cloud Platform Training Course.
Google Cloud Platform is a cloud computing platform that provides a wide range of services for building and deploying applications. Python is a popular programming language that is commonly used for data analysis, web development, and automation tasks. Using Python with Google Cloud Platform allows developers to take advantage of the platform's powerful features and services, while also leveraging the flexibility and ease of use of Python. Python applications can be deployed to Google Cloud Platform using several different deployment options, including App Engine, Kubernetes Engine, and Compute Engine.
The Knowledge Academy’s 1-day Python with Google Cloud Platform training course provides delegates with in-depth knowledge of how to install Python, statements, blocks, input () functions, operators, flow control, Google Cloud Infrastructure, loops, networking, creating Django super user passwords, and many more. This course will be taught by our expert trainers who have years of experience in teaching courses.
This training will cover various concepts, such as:
Overall, Python and Google Cloud Platform offer a powerful combination for building and deploying scalable and reliable applications in the cloud.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
Module 1: Introduction to Google Cloud Platform
Module 2: Compute Engine and Virtual Machines
Module 3: Google Kubernetes Engine (GKE)
Module 4: Storage Solutions in GCP
Module 5: Google Cloud Identity and Access Management (IAM)
Module 6: Google Cloud Security and Compliance
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The Google Cloud Training Course is designed for professionals who want to get better at building and managing cloud-based applications via the Google Cloud Platform. The Google Cloud Training Course can benefit professionals such as:
There are no formal prerequisites for this Google Cloud Training Course.
Google Cloud comprises physical assets like computers and hard disc drives and virtual resources like Virtual Machines (VMs), all of which are housed in Google's data centres across the world. It assists users in developing their website or application on Google Cloud by allowing them to mix and match services for creating the ideal infrastructure. For organisations, it provides immense benefits, such as assisting them in making more intelligent decisions, securing information with advanced security tools, cutting costs, increasing efficiency, optimising spending, etc. This training course aims to provide individuals with the knowledge and skills required to use the Google Cloud Platform and achieve significant career progression opportunities.
In this 1-Day Google Cloud Training course, delegates will learn about Google Cloud, its resources, and developer tools. They will know how to manage Google identities, how to federate their identity provider to Google Cloud, how to migrate unmanaged accounts and control access of resources, etc. Further, they will gain in-depth knowledge about various techniques used to migrate to Google Cloud. Our highly skilled and professional trainer will conduct this training and have years of experience teaching Google Cloud Training courses.
This course will also cover various essential concepts, such as:
After attending this training course, delegates will be able to interact with the services and resources by using the Google Cloud console, command-line interface, and client libraries. They will also be able to use resource hierarchy to map their enterprise's operational structure to Google Cloud and manage access control and permissions for groups of related resources.
After completing this course, delegates can also choose our other popular courses under Google Cloud Training such as Google Cloud Platform Fundamentals, Introduction To Google Cloud Security, Google Cloud Storage Training, Big Data And Machine Learning With Google Cloud Platform, and many more to increase their competency within their role, which can be applied to any organisation successfully.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
Module 1: Object Management
Module 2: Service Configuration
Module 3: Troubleshoot
Module 4: Data Access and Authentication
Module 5: Support Business Initiatives
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The Professional Collaboration Engineer Training 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:
The Professional Collaboration Engineer Training demands a foundational understanding of IT concepts, including basic networking and cloud computing. Experience with collaboration tools, such as video conferencing and content sharing platforms, will also be beneficial.
Professional Collaboration Engineer is the person who alters business ideas into perceptible policies, configuration, and security of content, user, and integrations. They enable people to communicate, access data, and work together. Collaboration engineer is responsible for providing backend configuration, operational and engineering support, and creating social documentation. Studying this training will help learners to monitor organisational operations and workspace access. It trained end-users, improve operational efficiency, and upgrade their skillset. Possessing the ability to manage various resources and implement Google suite authorisation will help individuals to work as senior collaboration engineers and get other highly paid jobs.
In this 1-day Professional Collaboration Engineer Training course, delegates will gain a comprehensive knowledge of object management and how to setup and configure Google mail. During this training, delegates will learn about configuring and managing Google groups for business. They will learn about managing users, and calendar resources, configuring shared drives classifying and mitigating basic email attacks. Our highly professional tutor with years of teaching experience will conduct this course and help delegates to understand the duties and responsibilities of a collaboration engineer.
Delegates will also cover various essential topics, such as:
At the end of this training, delegates will be able to troubleshoot user reports and configure policies of all devices. They will also be able to improve professional validations from both, existing and new employees.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
Module 1: Introducing Cloud Computing and Google Cloud Platform
Module 2: Compute Products
Module 3: Storage Products
Module 4: Big Data Products
Module 5: Networking and Services
Module 6: Management and Recipes
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The Google Cloud Developer Professional Training Course 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:
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.
The Google Cloud Developer Professional Training is a comprehensive program designed to help developers gain the skills and knowledge needed to design, build, and deploy scalable and reliable applications on the Google Cloud Platform. This training will assist learners to create and configure virtual machines, manage Kubernetes clusters, use serverless computing and cloud functions, implement app engine applications, and more. Pursuing this training equips students with the necessary abilities and approaches that will ultimately improve their employment chances and income.
In this 1-day Google Cloud Developer Professional Training, delegates will gain a deep understanding of networking services. The training also covers storage and database services, such as Cloud Storage, Cloud SQL, NoSQL databases, and Cloud Spanner. During this training, delegates will learn about security concepts are also addressed, including user access and permissions, network security, and compliance and regulatory requirements. Our highly skilled and professional instructor, who has years of teaching experience, will conduct this training and equip delegates with the required skills.
Course Objectives
At the end of this training, delegates will be able to use the Google Cloud Platform tools and services available to build and deploy scalable, reliable applications in the cloud. They will also be able to manage and monitor applications and troubleshoot issues.
Speak to a training expert for advice if you are unsure of what course is right for you. Give us a call on 01344203999 or Enquire.
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"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
