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AWS Certification Training Courses

Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

Architecting on AWS Course Outline

 

Module 1: AWS Foundations

  • Core AWS Computing
  • Advantages of Cloud Computing
  • Cloud Concepts
  • Cloud Best Practices
  • AWS Storage
  • Event Driven Scaling
  • Amazon VPC
  • VPC Networking Fundamentals
  • Elastic Network Interface
  • VPC Peering
  • Routing Inside VPC
  • AWS CloudFormation
  • CloudFront
  • Amazon CloudFront Concepts
  • Access Logs
  • Identity and Access Management (IAM)
    • Functionality of IAM
    • Best Practices of IAM
    • Features of IAM
  • Amazon Simple Queue Service
    • Benefits of SQS
  • Route 53
    • Benefits of Using Route 53
    • Features and Service Highlights of Route53

Module 2: Designing AWS-Based Systems

  • Core AWS Architectural Principles
  • EC2
  • DynamoDB
  • Fault Tolerance
    • An Introduction
    • Amazon Simple Queue Service
    • Amazon Simple Storage Service
    • Amazon SimpleDB
    • Amazon RDS
  • Cost Efficiency
  • Elastic Load Balancer

Module 3: Implementation and Deployment

  • Scaling Applications
  • Types of AutoScaling
  • Scaling Servers
  • Direct Connect
  • Large Datastore Design

Module 4: Data Security

  • AWS Compliance
  • How to Secure AWS?
  • AWS Cloud Security
  • Benefits of Cloud Security
  • Security Platform
  • Security, Identity, and Compliance Products
  • Cloud Deployment Models
  • Types of Security
  • Cloud Security Model
  • Shared Responsibility Model

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Who should attend this Architecting on AWS - Associate Certification Course?

The Architecting on AWS - Associate Certification Course delves into the foundational principles and services of the Amazon Web Services (AWS) cloud platform and the professionals will learn how to design and deploy scalable, secure, and robust applications on AWS. This course can be beneficial for various professionals, including:

  • Solutions Architects
  • Cloud Engineers
  • Systems Designers
  • IT Architects
  • Cloud Developers
  • AWS Cloud Practitioners
  • Systems Administrators
  • IT Managers
  • Technical Project Managers

Prerequisites of the Architecting on AWS - Associate Certification Course

There are no prerequisites required for the Architecting on AWS - Associate Certification Course.

Architecting on AWS Course Overview 

Our interactive three-day Architecting on AWS - Associate Certification Course prepares you to become an efficient AWS Certified Solution Architect - Associate. Whilst learning how to develop and engage with AWS cloud computing, delegates will learn the constituents of AWS, in particular, the rules of designing a scalable architecture and implementing an AWS cloud platform. Our AWS certification course will ensure that you are industry-ready and are able to implement structural alterations using the AWS management console.

This AWS Solutions Architect course consists of high-quality, hands-on experience, in the form of professional practice assignments and interactive live projects. This training style ensures that individuals are fully prepared for the AWS exam. Learning how to develop custom VPCs with both public and private subnets, delegates taking our courses will learn how to use their acquired knowledge to configure autoscaling and RD Gateways on VPCs.

Designed to prepare engineers, administrators, and consultants for the AWS Solutions Architect Associate Certification Exam, this associate-level course will give you the best opportunity to develop your knowledge of the world’s most popular cloud platform. During this exam preparation course, individuals will learn how to create solution plans and learn the best practice framework that they should adhere to when adapting an AWS Architecture, including shifting existing applications to AWS and deciphering data transfers to AWS.  

Enquire Now to Get Free Advice from The Knowledge Academy AWS Cloud Instructors!​

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What’s included in this Architecting on AWS - Associate Certification Course?

  • World-Class Training Sessions from Experienced Instructors
  • Architecting on AWS - Associate Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Professional DevOps Engineer Training​ Course Outline

 

Module 1: Introduction to Cloud Computing

  • Overview of Services Pillars
  • Operational Excellence
  • Security
  • Performance Efficiency
  • Cost Optimisation

Module 2: Fundamentals of AWS Services

  • Setting Up and Accessing AWS Account
  • Cloud Compute in AWS
  • Introduction to Elastic Compute Cloud
  • Introduction to VPC
  • Route 53
  • Amazon Relational Database Services
  • Message and Queuing System

Module 3: Identity and Access Management and Working with Secrets in AWS

  • Understanding the Shared Responsibility in AWS
  • IAM Roles, Groups, Users and Policies
  • Integrating Federation with an AWS Account
  • Using AWS Organisations as Part of Guidance
  • Using Cognito With Application Authentication
  • Storing Secrets Securely in AWS

Module 4: Amazon S3 Blob Storage

  • Introduction
  • S3 Concepts
  • S3 Access Controls
  • S3 Access Logs
  • Encryption Options with S3
  • Using S3 Events to Trigger Other AWS Events
  • S3 Batch Operations
  • S3 Replication
  • S3 Versioning

Module 5: Amazon DynamoDB

  • Basics of Amazon DynamoDB
  • Understanding Amazon Dynamo DB
  • Inserting Data in DynamoDB

Module 6: Introduction to DevOps

  • What is DevOps?
  • Why DevOps
  • DevOps Tools
  • DevOps on Cloud
  • DevOps with AWS

Module 7: Understanding CI/CD and SDLC

  • Introduction to SDLC
  • Lifecycle
    • Planning and Requirement Analysis
    • Defining Requirements
    • Designing the Product Architecture
    • Building or Developing the Product
    • Testing the Product
    • Deployment
  • Automatic CI/CD Pipeline
  • CodeCommit in AWS
  • CodeBuild and CodePipeline in AWS
  • Working of CodePipeline in AWS
  • What is Jenkins?
  • Jenkins and AWS?

Module 8: AWS OpsWorks to Manage and Deploy the Stack

  • OpsWorks Essentials
  • OpsWorks Stack Vs OpsWorks Layers
  • OpsWorks Lifecycle
  • Monitoring an OpsWorks Stack

Module 9: Using ElasticBeanstalk to Deploy Applications

  • Introduction to Elastic Beanstalk
  • Benefits of AWS Elastic Beanstalk
  • Deploying an Application on Elastic Beanstalk
  • Introduction to Docker
  • Docker Architecture
  • Docker in AWS
  • Deploying Docker Container with Beanstalk

Module 10: Implement Metrics, Alarms, and Filters by Using AWS Monitoring

  • Identify, Collect, Analyse, and Export Logs
  • Collect Metrics and Logs Using the CloudWatch Agent
  • CloudWatch Alarms
  • Create CloudWatch Dashboard

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Who should attend this AWS Professional DevOps Engineer Training Course? 

This AWS Professional DevOps Engineer Training Course is suitable for individuals who aim to enhance their expertise in the field of DevOps engineering using Amazon Web Services (AWS). This course is particularly beneficial for professionals such as:

  • Systems Administrators
  • Technical Support Personnel
  • Software Developers
  • Cloud Architects
  • Solution Architects
  • Operations Professionals
  • Technical Managers

Prerequisites of the AWS Professional DevOps Engineer Training Course

Before attending this AWS Professional DevOps Engineer Training course, delegates must have an associate certification as an AWS Certified Developer or at least 1 year of experience in AWS.

AWS Professional DevOps Engineer Training​ Course Overview 

An AWS DevOps Engineer performs crucial tasks within an organisation that includes engineering, coding, and operations, as well as the development of cost-effectiveness. The main role of a DevOps Engineer is to support continuous delivery or integration processes and analyse data to improve existing practices. In this training, learners gain the knowledge to use virtual machines to perform all of the tasks that would normally be performed on an on-premises setup. It also learners to build and deliver products using AWS and DevOps practices in their businesses effectively and efficiently. Individuals with excellent DevOps engineering knowledge will get lucrative jobs in multinational corporations.

In this 2-day AWS Professional DevOps Engineer Training, delegates will learn how DevOps Engineers ensure limited software failures and a shorter lead time between fixes. During this training, they will also learn how CodePipeline in AWS helps automate the release pipelines for fast and reliable application and infrastructure updates. They will also learn about Amazon DynamoDB, which allows the creation of database tables that can store and retrieve any amount of data. Our highly expert trainer with abundant knowledge will equip the delegates to acquire the necessary abilities that will enable them to pursue their high-profile career paths in development and DevOps engineering.

Course Objectives

  • To help recover objects from accidental deletion or overwriting
  • To manage the data traffic of tables over multiple servers
  • To plan the basic project approach and conduct product feasibility studies
  • To compile code and store the artefacts in an Amazon S3 bucket
  • To automate the operational and configuration tasks for distributed apps
  • To create stacks that help manage cloud resources in specialised groups

At the end of this training course, delegates will be able to continuously build and test projects by making it easy to integrate changing codes into Jenkins. They will also be able to save dashboards to their favourite list and create multiple dashboards. 

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What’s included in this AWS Professional DevOps Engineer Training Course?

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

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Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

AWS SysOps Associate Certification Training Outline

Module 1: AWS Services

  • Introducing AWS Services
  • AWS Benefits

Module 2: Introduction to Sysops

  • Responsibilities of a SysOps Admin
  • Performance Considerations
  • Multi-Region Deployments
  • Deployment Strategies
  • Cost Optimisations
  • Resource Tags

Module 3: Security and AWS Identity and Access Management

  • Identity Access Management
  • Security Token Service (STS)
  • AWS Security
  • Security Platform
  • Security, Identity, and Compliance Products

Module 4: Compute

  • Elastic Compute Cloud (EC2)
  • EC2 Instances
  • Elastic Compute Cloud
  • EC2 Container Service (ECS)
  • Elastic Beanstalk
  • Elastic Beanstalk Components
  • Comparison with Beanstalk and CloudFormation
  • Application Lifecycle in Elastic Beanstalk
  • Amazon Lambda

Module 5: Networking

  • VPC
  • VPC Networking Fundamentals
  • VPC Peering
  • Routing Inside VPC
  • Route 53
  • CloudFront
  • CloudFront Concepts
  • Serving Public Content Using CloudFront

Module 6: Databases

  • DynamoDB
  • Amazon Relational Database Service (RDS)
  • Amazon DynamoDB
  • Features of Amazon DynamoDB
  • Tables
  • DynamoDB
    • Data Types
    • Types of Indexing
  • Conditional Update and Concurrency Control
  • DynamoDB Security
  • NoSQL Databases
  • Advantages
  • CAP Theorem
  • Consistency at Read Time
  • Pre-Provision Capacity
  • Data Model Concepts
  • Choose Index Key
  • Secondary Index
    • Local
    • Global

Module 7: Storage Systems

  • Storage Solutions
  • Large Data Stores Design
  • Fundamentals of S3
  • Cross-Region Replication
  • Management of Lifecycles

Module 8: Monitoring and Metrics

  • CloudTrail
  • Getting Started with CloudTrail
  • Amazon CloudWatch
  • CloudWatch Architecture
  • APIs and Use Cases
  • Available Metrics
  • Custom Metrics
  • Introduction to ECS
  • Working with Clusters
  • Task Definitions
  • Running Tasks
  • Service Load Balancing
  • ECS Scheduler
  • Container Agent
  • Using Data Volumes
  • Monitoring ECS
  • ECS Security Using IAM
  • Elastic Container Registry
  • Amazon ECR Service Limits
  • Auto Scaling Overview
  • Auto Scaling
    • Components
    • Termination Policy
  • Customising Termination Policy
  • Scaling
  • Scaling Cooldown
  • Instance Termination Protection
  • Auto Scaling Lifecycle Hooks
  • Considerations When Using Lifecycle Hooks

Module 9: Simple Services

  • Simple Queue Service
  • Simple Notification Service (SNS)

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Who should attend this Systems Operations on AWS - Associate Certification Course?

The Systems Operations on AWS - Associate Certification Course is aimed at a variety of professionals who are engaged in managing, operating, and deploying systems on AWS infrastructure.

Here are a few of the professionals who will benefit from this course:

  • Systems Administrators
  • DevOps Engineers
  • Cloud Support Engineers
  • Network Engineers
  • Security Analysts
  • Database Administrators
  • IT Managers

Prerequisites of the Systems Operations on AWS - Associate Certification Course

For the Systems Operations on AWS - Associate Certification Course, participants should possess a foundational knowledge of AWS services, experience in general system operations (Windows or Linux), and familiarity with basic networking concepts. Previous experience with cloud computing platforms might also be beneficial, however, it’s not mandatory.

 

AWS SysOps Associate Certification Training Overview

Our comprehensive and captivating AWS SysOps Associate Certification Training Course explores the main components of the AWS platform. Designed for Systems Administrators, this course will provide delegates with an understanding of monitoring and metrics, whereby cloud service, CloudWatch, and metric analysis will be investigated. The principles of networking will also be a topic of interest, as network management, network security, and overcoming associated problems are covered.

As well as this, delegates will become familiar with EC2 instances, scaling, identity access management, and AWS analysis. Overall, candidates will learn how to produce network and system automation on AWS. This course is highly interactive and engaging, as it is delivered via instructor-led teaching and practical labs. This combination ensures that delegates can implement their acquired knowledge in a hands-on manner to assess the extent of their new abilities.

AWS SysOps Associate is swiftly becoming a qualification in demand for IT professionals who use AWS within their job roles. Therefore attendance in this course can achieve the acceleration of job opportunities. Primarily, this training course will prepare delegates for the AWS SysOps Associate exam. By course completion, delegates will materialise as competent AWS Certified Sysops Administrators.

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What’s included in this Systems Operations on AWS - Associate Certification Course?

  • World-Class Training Sessions from Experienced Instructors
  • Systems Operations on AWS - Associate Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS Cloud Practitioner Training Course Outline

 

Module 1: Cloud Overview

  • Cloud Computing and Virtualisation
  • AWS Cloud
  • AWS Platform Architecture
  • Scalability and Elasticity

Module 2: Understand AWS Environment

  • AWS Global Infrastructure
  • AWS Shared Responsibility Model

Module 3: Securing AWS Resources

  • AWS Identity and Access Management
  • Encryption
  • Regulatory Compliance (AWS Artefact)

Module 4: Working with AWS Resources

  • AWS Management Console
  • AWS Command Line Interface
  • Cloud Watch
  • CloudTrail
  • Cost Explorer

Module 5: Core Compute Services

  • Deploying Amazon Elastic Compute Cloud Servers
  • Simplified Deployments through Managed Services
  • Deploying Container and Serverless Workloads

Module 6: Core Storage Services

  • Simple Storage Services
  • Amazon Glacier
  • AWS Storage Gateway
  • AWS Snowball

Module 7: Core Database Services

  • Database Models
  • Amazon Relational Database Service
  • DynamoDB
  • Amazon Redshift

Module 8: Core Networking Services

  • Virtual Private Cloud
  • Route 53
  • CloudFront

Module 9: Automating AWS Workloads

  • Cloud Formation
  • AWS Developer Tools
  • EC2 Auto Scaling

Module 10: Common Use Scenarios

  • Well-Architected Framework
  • Elastic Load Balancer

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Who should attend this AWS Cloud Practitioner Training Course? 

This AWS Cloud Practitioner Training Course is designed for individuals who are interested in gaining a foundational understanding of cloud computing and Amazon Web Services (AWS). This course is particularly beneficial for professionals such as:

  • Aspiring Cloud Professionals
  • Data Scientists
  • Machine Learning Engineers
  • Developers
  • Business Analysts
  • Business Leaders
  • Entrepreneurs

Prerequisites of the AWS Cloud Practitioner Training Course

There are no formal prerequisites for the AWS Cloud Practitioner Training Course. However, having prior knowledge of programming languages would be beneficial for the delegates.

AWS Cloud Practitioner Training​ Course Overview

Amazon Web Services (AWS) Cloud is a comprehensive and widely used cloud computing platform that offers a vast array of on-demand computing resources and services that enable businesses and individuals to build, deploy, and manage their applications and infrastructure in a flexible and scalable manner. It offers a flexible infrastructure that can quickly accommodate fluctuations in workload, ensuring optimal performance and cost efficiency. This training is designed for professionals who have a basic understanding of cloud concepts and want to demonstrate their knowledge of AWS services. It allows businesses to scale their resources up or down based on demand. Pursuing this AWS Cloud Practitioner Training helps individuals get equipped with the necessary skills and valuable techniques for entering the cloud computing industry.

The Knowledge Academy’s 1-day AWS Cloud Practitioner Training course provides delegates with in-depth knowledge about the AWS cloud and how to use it effectively. During this training, they will learn how to explore encryption techniques for enhancing data protection. They will also learn about how to use the AWS Command Line Interface (CLI) for resource management. This course will be led by our highly skilled and knowledgeable trainer, who has years of experience teaching AWS Cloud training courses.

Course Objectives

  • To get in-depth knowledge about cloud computing and virtualisation
  • To understand the shared responsibility model for AWS resources
  • To attain knowledge of cost optimisation and analysis using AWS Cost Explorer
  • To utilise Amazon Simple Storage Service (S3) for scalable object storage
  • To explore load balancing techniques using Elastic Load Balancer
  • To use Amazon Relational Database Service (RDS) for managed relational databases

After attending this training course, delegates will be able to deploy and manage Amazon Elastic Compute Cloud (EC2) instances. They will also be able to create and manage Virtual Private Cloud (VPC) environments.

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What’s included in this AWS Cloud Practitioner Training Course?

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

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Solutions Architect Training​ Course Outline

Module 1: Introduction to AWS and Cloud Computing

  • Cloud Computing
  • Virtualisation
  • Characteristics of Virtualisation
  • AWS Cloud
  • AWS Platform Architecture

Module 2: Amazon EC2 and Elastic Block Store

  • EC2
  • EC2 Instance

Module 3: Amazon S3 and Amazon Glacier Storage

  • S3
  • Amazon Glacier
  • Other Storage Services

Module 4: Amazon Virtual Private Cloud

  • Introduction
  • Subnets
  • VPC CIDR Blocks
  • Elastic Network Interfaces
  • Internet Gateways and Route Tables
  • Security Groups and Network Access Control Lists
  • Elastic IP Addresses
  • Network Addresses Translation Devices
  • VPC Peering

Module 5: Database

  • Relational Database 
  • Amazon Relational Database Service
  • Amazon Redshift 
  • Nonrelational (NoSQL) Databases 
  • DynamolDB

Module 6: Authentication and Authorisation

  • Introduction
  • IAM Identities

Module 7: CloudTrail, AWS Config, and CloudWatch

  • CloudTrail
  • CloudWatch
  • AWS Config

Module 8: Domain Name System and Network Routing

  • Domain Name System
  • Amazon Route 53
  • Amazon CloudFront

Module 9: Reliability Pillar

  • Calculating Availability
  • EC2 Auto Scaling
  • Data Backup and Recovery
  • Components of Reliability
  • Designing for Availability

Module 10: Performance Efficiency Pillar

  • Optimising Performance for the Core AWS Services
  • Infrastructure Automation

Module 11: Security Pillar

  • Identity and Access Management
  • Detective Controls
  • Protecting Network Boundaries
  • Data Encryption

Module 12: Cost Optimisation Pillar

  • Cost-Optimising Compute
  • Choose the Right Pricing Models

Module 13: Operational Excellence

  • CloudFormation
  • CodeCommit
  • CodeDeploy
  • CodePipeline
  • AWS Systems Manager

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Who should attend this AWS Associate Solutions Architect Training Course?

The AWS Associate Solutions Architect Course is suitable for the individuals who want to get better at creating Architecture Solutions for the AWS Platform. The AWS Associate Solutions Architect Course can benefit professionals such as:

  • Solution Architects
  • Cloud Architects
  • DevOps Engineers
  • Technical Project Managers
  • Business Analysts
  • Network Engineers
  • Database Administrators

Prerequisites of the AWS Associate Solutions Architect Training Course

There are no formal prerequisites for this AWS Associate Solutions Architect Training Course. However, a basic understanding of Solution Architecture can be beneficial.

AWS Associate Solutions Architect Training​ Course Overview

Amazon Web Service is a web-based platform that provides profitable and scalable cloud computing solutions. Solution architect helps to build, design, maintain and deploy AWS crucial infrastructure and business applications. This training is beneficial due to the high demand for AWS experts, demonstration of commitments, and relatively easy to earn. Acquiring the required knowledge of AWS will help learners to understand AWS networking, including network address translation, VPC and EC2. It is essential for individuals to prepare for the future, expand their professional network, and achieve an appreciation for their efforts. Pursuing this training course will help individuals to gain the required skills and knowledge from an expert trainer that elevates their career to the cloud and beyond in multinational companies.

In this 2-day AWS Associate Solutions Architecture Training, delegates will gain a thorough understanding of Amazon Web Services (AWS) and the various cloud services provided by Amazon. During this training, delegates will learn about Amazon’s simple storage service and glacier storage. They will also learn about AWS cloud, platform architecture, virtual private cloud, Amazon Redshift, and AWS config. Our highly skilled trainer with years of experience in teaching AWS courses will conduct this training and equip aspiring delegates with AWS concepts.

Apart from these, delegates will also learn the following topics, such as:

  • Network address translation devices
  • Planning, tracking, and controlling costs
  • CloudTrail, CloudWatch, and AWS config
  • Operational excellence and security pillar
  • Optimising performance for the core AWS services

After completing this training course, delegates will be able to plan, design, and scale AWS cloud computing services. They will also be able to pass the associate-level AWS Solutions Architect certification exam.

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What’s included in this AWS Associate Solutions Architect Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Associate Solutions Architect Certificate
  • Digital Delegate Pack

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Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

AWS Professional Solutions Architect Training​ Course Outline

 

Module 1: Design for Organisational Complexity

  • Overview
  • Managing Multiple AWS Accounts in an Organisation
  • Security and Access Controls for a Multi-Account Structure
  • Using S3 Requester Pays and Bucket Policies
  • Multi-Account Infrastructure Management
  • Multi-Account Network Configuration
  • Configuring DNS Resolution for the Servers

Module 2: Design for New Solutions

  • Using Amazon AppStream 2.0/Amazon Workspaces for Remote Desktop Operations
  • Using Amazon Connect, Amazon Lex, and Amazon Polly for Chat and Call Functionality
  • Using Amazon WorkDocs for Secure Document Management and Collaboration
  • Implementing DDoS Resiliency in AWS
  • Configuring DNSSEC for a Domain in Route 53
  • Configuration Management in AWS with AWS OpsWorks Stacks
  • Processing Large Product Catalogues Using Amazon Mechanical Turk and Amazon SWF
  • Using Lambda@Edge for Low Latency Access to the Applications
  • Setting Up and ELK (ElasticSearch, Logstash, and Kibana) Stack Using Amazon ES
  • Data Analytics and Visualisation Using Amazon Athena and Amazon ES
  • Using AWS Transfer Family for FTP Use Cases
  • Single Interface for Querying Multiple Data Sources with AWS AppSync

Module 3: Migration Planning

  • Overview
  • Planning Out a Migration
  • Migration Strategies
  • Analysing the Workloads Using AWS Application Discovery Service
  • Performing Data Migration
  • Performing Server Migration
  • Performing Database Migration

Module 4: Cost Control

  • Overview
  • AWS Pricing Models
  • Reserved Instances and Savings Plan
  • Using Different AWS Cost Management Services

Module 5: Continuous Improvement for Existing Solutions

  • Using Amazon Cognito for Web App Authentication
  • Using AWS Systems Manager for Patch Management
  • Implementing CI/CD Using AWS CodeDeploy, CodeCommit, CodeBuild, and CodePipeline
  • Using Federation to Manage Access
  • Setting Up a Fault-Tolerant Cache Layer with Amazon Elasticache
  • Improving the Cache Hit Ratio of the CloudFront Distribution
  • Other Ways of Combining Route 53 Records for High Availability and Fault Tolerance
  • Longest Prefix Match: Understanding Advanced Concepts in VPC Peering
  • Automate the EBS Snapshots Using Amazon Data Lifecycle Manager (Amazon DLM)
  • Real-Time Log Processing Using CloudWatch Logs Subscription Filters
  • Scaling Memory-Intensive Application in AWS

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Who should attend this AWS Professional Solutions Architect Training Course? 

This AWS Professional Solutions Architect Training Course is intended for individuals who want to upgrade their knowledge in cloud computing and architectural design. However, this course is much more beneficial for professionals such as:

  • Experienced Solutions Architects
  • Cloud Professionals
  • Machine Learning Engineers
  • Experienced DevOps Engineers
  • Application Architects
  • Enterprise Architects
  • System Designers

Prerequisites of the AWS Professional Solutions Architect Training Course

There are no formal prerequisites for the AWS Professional Solutions Architect Training Course.

AWS Professional Solutions Architect Training​ Course Overview

Amazon Web Services (AWS) is a popular cloud service provider that provides on-demand services such as computing, storage, networking, security, and databases that can be accessed via the Internet from anywhere in the world without the need for the user to manage or monitor these resources. The AWS Certified Solutions Architect Professional Certification verifies the ability of the delegates to develop, implement, and evaluate applications on AWS under numerous conditions. AWS certification will allow individuals to design hybrid architecture using key AWS technologies as well as continuous integration and deployment process. Attaining knowledge and required skills will lead the delegates to greater opportunities such as Cloud Architects, Cloud Developers, Cloud Systems Administrators, Cloud DevOps Engineers, and various reputed highly paid job roles.

In this 2-day AWS Professional Solutions Architect training course, delegates will gain insights into assessing the cloud application needs and provide architectural suggestions for AWS applications’ implementation, deployment, and provisioning. Delegates will learn about the advanced abilities for deploying and creating applications on AWS, as well as advanced subjects such as databases and application servers and system design best practices. Our highly expert trainer with abundant knowledge will teach the delegates and provide them with the necessary knowledge of AWS.

Apart from these, delegates will learn the following essentials concepts, such as:

  • Implementing DDoS resiliency in AWS
  • Configuring DNSSEC for a domain in route 53
  • Configuration management in AWS with AWS OpsWorks stacks
  • Reserved instances and savings plan
  • Scaling memory-intensive applications in AWS

At the end of this training course, delegates will be able to secure and manage the security and access controls for a multi-account structure. They will also be able to manage multiple AWS accounts in an organisation to provide the resources to the team and permissions using AWS CloudFormation StackSets.

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What’s included in this AWS Professional Solutions Architect Training Course?

  • World-Class Training Sessions from Experienced Instructors  
  • AWS Professional Solutions Architect Training Certificate
  • Digital Delegate Pack   

Show moredown

Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

AWS Developer Associate Certification Training Course Outline

 

Module 1: Introduction

  • Introducing AWS Developer
  • Developing on AWS
  • Large Data Stores Design
  • Storage Solutions

Module 2: Identity Access Management

  • Identity Access Management
  • Security Token Service

Module 3: Elastic Compute Cloud (EC2)

  • Introduction to Elastic Compute Cloud (EC2)
  • EC2 Instances
  • Elastic Compute Cloud
  • Using PuTTY
  • AWS CLI
  • Elastic Load Balancers
  • Amazon Lambda

Module 4: S3

  • Fundamentals of S3
  • Cross-Region Replication
  • Management of Lifecycles
  • CloudFront
  • CloudFront Concepts
  • Serving Public Content Using CloudFront
  • Access Logs
  • Invalidation
  • AWS Security

Module 5: Fundamentals of Databases

  • DynamoDB
  • Amazon Relational Database Service (RDS)

Module 6: DynamoDB

  • Amazon DynamoDB
  • Features of Amazon DynamoDB
  • Tables
  • DynamoDB: Data Types
  • DynamoDB: Types of Indexing
  • Conditional Update and Concurrency Control
  • DynamoDB Security
  • NoSQL Databases
  • Advantages
  • CAP Theorem
  • Consistency at Read Time
  • Pre-Provision Capacity
  • Data Model Concepts
  • Data Types
  • Choose Index Key
  • Local Secondary Index
  • Global Secondary Index

Module 7: Simple Services

  • Simple Queue Service
  • Simple Notification Service (SNS)
  • AWS Simple WorkFlow (SWF)

Module 8: Final Concepts

  • AWS CloudFormation
  • DNS
  • Getting Started with Route 53
  • Latency Based Routing
  • Geographic Routing with Geo DNS
  • Weighted Resource Record Sets
  • Health Check
  • DNS Failover
  • Multivalue Answer Routing
  • Failover Routing
  • Domain Purchase
  • Amazon VPC
  • VPC Networking Fundamentals
  • Elastic Network Interface
  • VPC Peering
  • Routing Inside VPC
  • Auto Scaling Overview
  • Auto Scaling Components
  • Auto Scaling and Customising Termination Policy
  • Scaling
  • Scaling Cooldown
  • Instance Termination Protection
  • Auto Scaling Lifecycle Hooks
  • Considerations When Using Lifecycle Hooks

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Who Should Attend the Developing on AWS - Associate Certification Course?

The Developing on AWS - Associate Certification is designed for individuals who want to enhance their skills in developing applications on the Amazon Web Services platform. This course will benefit the following professionals:

  • Cloud Developers
  • Software Developers
  • Full Stack Developers
  • Application Developers
  • Solutions Architects
  • DevOps Engineers
  • Cloud Engineers

Prerequisites of the Developing on AWS - Associate Certification Course

There are no formal prerequisites to attend the Developing on AWS - Associate Certification Course. However, a basic knowledge of cloud computing and AWS would be beneficial. 

AWS Developer Associate Certification Training Course Overview

Our detailed and engaging AWS Developer Associate Certification Training course will teach delegates how to develop and manage applications on the AWS platform. During this course, delegates will acquire an understanding of how to improve the security and capabilities of cloud applications. The most important tools and best practices will be explored to ensure delegates emerge from this course as proficient AWS Developers who can use the code for AWS interaction.

Primarily, this course ensures you are fully prepared for the AWS Developer Associate examination. Delegates will receive an extensive introduction to AWS Developer, identity access management, and EC2 instances. As well as this, delegates will explore S3, DynamoDB, Simple Queue Service, Service Notification Services, and Simple Workflow Service. To conclude, the AWS Developer certification training, cloud formation, policy labs, and VPC (Virtual Private Cloud) will be covered.

The AWS Developer Associate Certification Training course is delivered via instructor-led teaching, accompanied by a series of interactive labs. These labs allow delegates to test the knowledge they have acquired throughout the course, and to implement their newly gained knowledge in a practical manner.

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What’s included in this Developing on AWS - Associate Certification Course?

  • World-Class Training Sessions from Experienced Instructors
  • Developing on AWS - Associate Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Advanced Architecture Certification Training Course Outline

Module 1: Reassessment of Architecturing for Cloud Best Practices

  • Reassessment of Architecturing for Cloud
  • Design Principles
  • Cloud
    • Concepts
    • Best Practices

Module 2: AWS Well-Architected Framework

  • Introduction
  • Features
  • Build Using a Structured Approach
  • Five Pillars of the Well-Architected Framework

Module 3: AWS Account Techniques

  • AWS Organisations
  • Benefits of AWS Organisations

Module 4: Advanced Architectures of Networking

  • Amazon VPC
  • VPC Networking Fundamentals
  • Elastic Network Interface
  • VPC Peering and Routing Inside VPC
  • Advanced ELB
  • VPN

Module 5: AWS Deployment Administration

  • AWS Deployment Administration
  • DevOps Practices

Module 6: Large Datastore Design

  • Amazon Elastic Block Store
  • Amazon Elastic File System
  • Amazon S3
  • Amazon Glacier
  • AWS Storage Gateway
  • Data Transfer Services

Module 7: Transporting Large Datastores

  • Cloud Data Migration

Module 8: Architectures of Big Data

  • Introduction
  • Elastic MapReduce (EMR)
  • Amazon Redshift
  • AWS Data Pipeline
  • Transporting Large Data Stores
  • AWS Storage Gateway
  • AWS Snowball
  • Advanced Dynamo DB
  • DynamoDB: It’s Working
  • DynamoDB Core Components
  • DynamoDB Supported Technologies
  • DynamoDB API Operations
  • Control Plane
  • Data Plane
  • DynamoDB Streams
  • Conditional Update and Concurrency Control
  • DynamoDB Security

Module 9: Large Scale Applications

  • Scaling Applications
  • Types of AutoScaling
  • Scaling Servers

Module 10: Constructing Resilience

  • Resiliency
  • High Resiliency for Critical Workloads
  • Maximum Resiliency for Critical Workloads
  • Non-Critical Production Workloads or Development Workloads
  • AWS Managed VPN Connections as a Backup for the Direct Connect

Module 11: Cloud Security

  • AWS Cloud Security
  • Benefits of Cloud Security
  • Security Platform
  • Security, Identity, and Compliance Products

Module 12: Data Encryption

  • Encrypting with KMS
  • Encrypting and Signing DynamoDB Data in Your Application

Module 13: AWS Key Management

  • Introduction
  • Benefits

Module 14: Protecting Data

  • Data Protection
  • Data Protection with S3
  • Ten Ways to Protect Data on AWS

Module 15: Performance Design

  • Five Pillars

Module 16: Managing Deployment

  • Introduction
  • AWS Deployment Services

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Who Should Attend the Advanced Architecting on AWS - Professional Certification Course?

The Advanced Architecting on AWS - Professional Certification Course is designed for individuals who want to showcase their advanced skills in architecting solutions on the Amazon Web Services (AWS) platform. This course will benefit the following professionals:

  • Solutions Architects
  • Cloud Architects
  • Senior DevOps Engineers
  • Cloud Infrastructure Engineers
  • Cloud Solutions Engineers
  • AWS Solutions Architects
  • Senior Cloud Engineers
  • Cloud Systems Architects

Prerequisites of the Advanced Architecting on AWS - Professional Certification Course

There are no formal prerequisites to attend the Developing on AWS - Associate Certification Course. However, AWS Certified Solutions Architect - Associate certification would be beneficial. 

Advanced Architecting on AWS - Professional Certification Course Overview

Our comprehensive Advanced Architecting on AWS - Professional Certification Course will build on introductory knowledge of architecting on AWS, whilst refreshing candidates’ understanding of vital components. Designed for those who have experience using the AWS platform to create applications, this training course will guide delegates through the intricate workings of AWS solutions. Therefore, delegates will become familiar with the best practices for the construction of secure and expandable applications.

During this course, delegates will be able to implement the AWS Well-Architected structure, and acquire comprehension of networking-based architectures, deployment notions, and large datastores. Big Data architectures, cloud security, and data encryption will also be notable areas of interest. Consequently, delegates will learn of methods they can use to protect their data and infrastructures and overall strengthen solution performance.

As well as this, AWS Certification Training will thoroughly prepare delegates for the associated AWS Advanced Architecture exam. Thus this course would be beneficial for anyone looking to be successful in such. The AWS Advanced Architecture Certification Training course is delivered via instructor-led teaching, accompanied by a series of interactive labs. These labs enable delegates to assess the knowledge they gain by applying this in practical terms, thus enhancing their understanding.

 

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What’s included in this Advanced Architecting on AWS - Professional Certification Course?

  • World-Class Training Sessions from Experienced Instructors
  • Advanced Architecting on AWS - Professional Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS DevOps Certification Training Outline 

Module 1: An Introduction to AWS DevOps

  • Overview – AWS DevOps

Module 2: Defining DevOps

  • DevOps Model
  • Benefits of DevOps

Module 3: Code Infrastructures

  • What is Infrastructure as Code and Why it is Important?
  • How is Infrastructure as Code Related to DevOps?

Module 4: AWS Command Line Interface (CLI)

  • Overview

Module 5: DevSecOps Overview

  • What is DevSecOps?
  • Benefits of DevSecOps Approach
  • Advantages of DevSecOps
  • Components of DevSecOps Approach

Module 6: Strategies for Deployment

  • Best Practices (Strategies) of DevSecOps
  • Steps to Implement DevSecOps
  • Benefits of Strategies

Module 7: Tools for Developing

  • Continuum Security
  • Threat Modeler
  • Evedent.io
  • CheckMarx
  • Contrast Security
  • IMMUNIO
  • Aqua Security
  • Dome9 Security
  • White Source

Module 8: AWS Automated Testing

  • Benefits of Testing
  • Automated Testing Environments
  • Sections for Provisioning Amazon EC2 Instances
  • Types of Testing

Module 9: Cloud Continuous Assimilation

  • What is Assimilation and Continuous Security?
  • Applying DevSecOps to Address Cloud Security Challenges
  • Applying DevSecOps to Cloud
  • Implementing DevSecOps in Cloud

Module 10: AWS Continuous Delivery

  • What is Continuous Delivery?
  • Continuous Delivery Vs Continuous Deployment
  • Benefits of Continuous Delivery

Module 11: AWS Applications Deployment

  • Create an Amazon EC2 Instance
  • Launch a Windows Server Amazon EC2
  • Configure Your Source Content
  • Upload Your "Hello, World!" Application to Amazon S3
  • Deploy Your Application
  • Update and Redeploy Your "Hello, World!" Application
  • To Clean Up Resources

Module 12: Infrastructure Administration and Automation

  • Benefits of Automation
  • Automation in DevSecOps
  • How to Automate the Sec in DevSecOps?
  • Conclusion on Automation
  • Infrastructure Administration
  • Enforce Policy and Governance
  • Automate the Security Process and Tools
  • Conduct Vulnerability Management
  • Adopt Configuration Management
  • Secure Access with Secret Management
  • Segment Networks

Module 13: Configuration Management

  • What is Configuration Management?
  • Process of Configuration
  • How to Implement a Configuration Management Solution on AWS?

Module 14: Constructing AMI

  • What is an AMI?
  • How to Create a Custom AMI in AWS?

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Who Should Attend the DevOps Engineering on AWS - Professional Certification Course?

The DevOps Engineering on AWS - Professional Certification Course is designed for individuals who want to demonstrate their expertise in DevOps practices and tools within the Amazon Web Services. This course will benefit the following professionals:

  • DevOps Engineers
  • Cloud Engineers
  • Solutions Architects
  • Senior DevOps Specialists
  • Continuous Integration and Continuous Delivery Engineers
  • Cloud Infrastructure Engineers
  • DevOps Managers
  • Site Reliability Engineers

Prerequisites of the DevOps Engineering on AWS - Professional Certification Course

To attend the DevOps Engineering on AWS - Professional Certification Course, delegates must have an associate certification as an AWS Certified Developer or at least 1 year of experience in AWS.

DevOps Engineering on AWS - Professional Certification Course Overview

Our captivating and extensive DevOps Engineering on AWS - Professional Certification Course will provide delegates with the skills needed to implement and maintain applications using AWS. Delegates will receive a detailed definition of what AWS DevOps is and will become familiar with its most significant mechanisms and principles.

AWS DevOps Certification Training will cover how to use CloudFormation, OpsWorks, CodeBuild, and CodePipeline, to name a few, so delegates can utilise the functions of AWS effectively.

This course is delivered via instructor-led teaching, which is supported by practical labs for delegates to participate in. This allows delegates to apply their newly acquired knowledge within a hands-on scenario, which will further advance and embed their understanding of key AWS DevOps concepts.

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What’s included in this DevOps Engineering on AWS - Professional Certification Course?

  • World-Class Training Sessions from Experienced Instructors
  • DevOps Engineering on AWS - Professional Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Big Data Certification Outline

Module 1: Introduction to AWS and Big Data

  • An Introduction to Big Data
  • Ingestion, Transmission, and Compression of Big Data
  • Kinesis and Data Stream
  • Data Storage Solutions
  • Using DynamoDB to Store and Query Data
  • Processing Big Data
  • Operating Athena
  • Utilising Elastic MapReduce

Module 2: Apache Hadoop and EMR (Elastic MapReduce)

  • Apache Hadoop and EMR
  • Consolidating EMR with HUE
  • Function of Pig Scripts in Hue
  • Spark on EMR
  • Constructing and Querying Tables

Module 3: Big Data with Redshift in AWS

  • Big Data with Redshift
  • Visualising Big Data
  • Operating TIBCO Spotfire
  • Big Data Design Sequences
  • Data Warehouses
  • Redshift Environment Optimisation

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Who Should Attend the Big Data on AWS Training Course?

The Big Data on AWS Training Course is designed for professionals who want to gain expertise in processing and analysing large datasets using Amazon Web Services (AWS) technologies. This course will benefit the following professionals:

  • Data Engineers
  • Data Scientists
  • Big Data Analysts
  • Data Analytics Managers
  • Business Intelligence Analysts
  • Data Warehousing Specialists
  • Big Data Consultants

Prerequisites of the Big Data on AWS Training Course

There are no formal prerequisites to attend the Big Data on AWS Training Course. However, a basic understanding of Big Data technologies and cloud computing would be beneficial.  

Big Data on AWS Certification Overview

Our comprehensive and engaging two-day AWS Big Data training course will guide delegates through the essentials of AWS Big Data. EMR (Elastic MapReduce), DynamoDB, Athena, Redshift, and Kinesis are just some of the major components that will be explored during this course. As well as this, delegates will acquire an understanding of AWS accounts development, and the art of data processing using means such as Hue and Hive.

Delegates will emerge from this AWS certification training capable of producing Big Data environments and applications, and they will possess a detailed comprehension of best practices for the design and implementation of Big Data. This course will also provide an introduction to Apache Hadoop, the fundamentals of Amazon EMR cluster, and data storage solutions. Similarly, delegates will gain knowledge of cost management, how to use Spark on EMR, and the visualisation of Big Data.

This highly interactive and practical course enables delegates to assess the strength of their gained understanding, as they are given the opportunity to apply their knowledge via labs and exercises. The delegates will also engage in several demonstrations, where they will become familiar with how to interact with AWS elements using interfaces, desktop devices, and command lines.

Big Data is becoming an increasingly desired and intriguing technique, which reflects the advancement toward Big Data solutions. Likewise, Big Data ensures a more secure and profitable approach towards performing Big Data workloads in the cloud. Primarily, this training course will prepare delegates for the AWS Big Data examination.

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What’s included in this Big Data on AWS Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Big Data on AWS Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Data Warehousing Training on AWS Course Outline                           

Module 1: Get Started with Data AWS Warehousing

  • Introduction to Data Warehousing
  • Amazon Redshift Components and Resources
  • Benefits of AWS Redshift
  • OLAP VS OLTP

Module 2: Working with Cluster

  • Redshift Architecture
  • Creating a Cluster
  • Managing a Cluster
  • Cluster Modification and Performance

Module 3: Development Using Redshift

  • Redshift Architecture
  • Connecting to a Cluster
  • SQL Reference and Statements
  • Creating Table
  • Create View and Grant Command
  • Information Schema

Module 4: Table Design and Database Security

  • Table Design
  • Table Tuning
  • Database Security

Module 5: Loading and Unloading Data

  • Loading and Unloading Data
  • System Tables
  • System Query

Module 6: Workload Management and Visualise

  • Workload Management
  • WLMQ Behaviour
  • Run the Query
  • Visualise

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Who Should Attend the Data Warehousing Training on AWS Course?

The Data Warehousing Training on AWS is tailored for professionals seeking to master the intricacies of data warehousing using Amazon Web Services (AWS) solutions. This course will benefit the following professionals:

  • Data Engineers
  • Data Analysts
  • Business Intelligence Developers
  • Data Architects
  • Database Administrators
  • Solution Architects
  • Data Scientists
  • Analytics Managers

Prerequisites of the Data Warehousing Training on AWS Course

There are no formal prerequisites to attend the Data Warehousing Training on AWS Course. However, a basic understanding of cloud computing, database technologies, and data warehousing concepts can be beneficial.

Data Warehousing Training on AWS​ Course Overview

The data warehouse is used to extract data to make it simpler, faster, and more efficient for processing queries from different data sources. AWS Redshift is a fully managed, reliable, high-speed data warehousing product. Built on the massive parallel processing, Redshift is a cost-effective and simple way to analyse data.

In this course, delegates will learn about Data Warehousing on AWS and its concepts. They will also gain an understanding of the relationship between Amazon Redshift and other Big Data systems. In this course, delegates will gain an understanding of the security features as they pertain to Amazon Redshift, such as IAM permissions, data encryption, and database permissions. They will also acquire knowledge of how to launch an Amazon Redshift cluster and use the components, and functionality to implement a data warehouse in the cloud.

During this course, delegates will learn how AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3, contribute to the data warehousing solution. They will also learn to work with cluster and gain an understanding of table design and database security. Post completion of this course, delegates will learn how to load and unload data into Data Warehouse.

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What’s included in this Data Warehousing Training on AWS Course?

  • World-Class Training Sessions from Experienced Instructors
  • Data Warehousing Training on AWS Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS RoboMaker Training Course Outline

Module 1: Getting started

  • Concepts
  • Setting Up
  • Running First Simulation

Module 2: Development

  • Building Application Containers
  • Publishing Application Containers
  • Working with Robot Applications
  • Working with Simulation Applications
  • Versioning Applications
  • Using Images to Develop Applications

Module 3: Simulation

  • Running a Simulation
  • Configuring a Simulation
  • Managing a Simulation
  • Logging a Simulation
  • Batching Simulations

Module 4: Creating worlds

  • Simulation Worldforge Concepts
  • Understanding Simulation World Templates
  • Common Tasks
  • JSON Schema for Simulation World Template Body
  • Sample World Templates in JSON
  • Managing Simulation World Templates
  • Managing World Generation Jobs
  • Managing World Export Jobs
  • Using Exported Worlds in Simulation

Module 5: Security

  • Data Protection
  • Authentication and Access Control
  • Logging and Monitoring
  • Tagging Resources
  • Security Compliance
  • Resilience
  • Infrastructure Security
  • VPC Endpoints (AWS PrivateLink)

Module 6: API reference

  • Actions
  • Data Types
  • Common Errors
  • Common Parameters

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Who Should Attend the AWS RoboMaker Training Course?

The AWS RoboMaker Training Course is designed for professionals interested in robotics development and simulation using Amazon Web Services (AWS) RoboMaker. This course will benefit the professionals, including:

  • DevOps Engineers
  • Robotics Engineers
  • Systems Administrators
  • Product Managers
  • Entrepreneurs
  • Autonomous Systems Engineers
  • Robotics Researchers

Prerequisites of the AWS RoboMaker Training Course

There are no formal prerequisites to attend the AWS RoboMaker Training Course. However, a basic understanding of robotics and cloud computing would be beneficial. 

AWS RoboMaker Training​ Course Overview

In this course, delegates will learn about Amazon RoboMaker. It is a service that quickly develops, simulates and deploy robot applications. This course explains AWS machine learning services, monitoring and analytics services that allow a robot to stream data. It provides a robotics application development environment, and it also includes a simulation service.

During this course, delegates will acquire knowledge of how to build a robot application. They will also learn about a simulation application a 3D artificial world and Gazebo plugins that control the movement of a robot. This course explains the fleet management service to deploy and manage applications remotely.

In this 1- day course, delegates will learn about the Robotic development Life Cycle and Robot Operating System. Delegates will get an understanding of the AWS RoboMaker service suite, cloud extension for ROS and development environment. Before course completion, delegates will become familiarised with simulation, simulation tools, and security compliance.

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What’s included in this AWS RoboMaker Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS RoboMaker Certificate
  • Digital Delegate Pack

 

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Introduction to AWS Security Course Outline

 

Module 1: Introduction to Cloud Security 

  • What is Cloud Security?
  • Benefits of Cloud Security

Module 2: Secure Global Infrastructure and Compliance

  • Region, Availability Zones
  • VPC Endpoints
  • IAM and Compliance

Module 3: Secure Responsibility and Trusted Advisor

  • Shared Responsibility Model
  • Trusted Advisor

Module 4: Identity and Access Management (IAM)

  • Root User
  • Users and Groups
  • Roles and Policies
  • Access Advisor

Module 5: Encryption Essentials

  • Symmetric and Asymmetric Encryption
  • HSM and KMS
  • Create a Symmetric Key

Module 6: Operating System-Level Access

  • SSH Overview
  • Bastion Host
  • Linux Examples
  • Windows Remote Desktop Example
  • Window PuTTY Example

Module 7: Introduction to Data Security

  • Securing Data in Amazon S3 Glacier
  • Securing Data at Rest: EBS and RDS
  • Securing Data at Rest: DynamoDB and EMR
  • Securing Data in Transit
  • Data Protection in Amazon S3

Module 8: Operating System Security

  • Custom AMIs and Bootstrapping
  • AWS Systems Manager- Patching
  • Mitigating Malware

Module 9: Infrastructure Security

  • VPC Security
  • Network Segmentation
  • AWS Web Application Firewall and Shield
  • Testing Security
  • Threat Protection Layers

Module 10: Monitoring, Alerting, and Auditing

  • Basics of Monitoring
  • AWS Config
  • AWS System Manager- Inventory
  • AWS Inspector
  • AWS GuardDuty
  • Config to Audit Resources

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Who Should Attend the Introduction to AWS Security Course?

The Introduction to AWS Security Course is designed for professionals seeking to understand the fundamental concepts of securing applications and data in the Amazon Web Services environment. This course will benefit the following professionals:

  • IT Managers
  • Security Analysts
  • Network Engineers
  • Cloud Architects
  • DevOps Engineers
  • System Administrators
  • Software Developers
  • Compliance Officers

Prerequisites of the Introduction to AWS Security Course

There are no formal prerequisites to attend the Introduction to AWS Security Course. However, a basic understanding of security and cloud computing would be beneficial.

Introduction to AWS Security​ Course Overview

In this course, delegates will learn how to use AWS security services to stay secure in the AWS Cloud. This course explains security practices that AWS recommends for enhancing the security of your data and systems in the cloud. Delegates will learn about the security features of AWS key services, including compute, storage, networking, and database service. They will also gain an understanding of how to secure global infrastructure and compliance. In this global infrastructure module, they will learn about VPC endpoints and IAM and compliance. Delegates will learn about root user, users and groups, roles, policies, and visual editor for policy creation. They will go through the encryption essentials like how to integrate KMS with S3.

This course teaches delegates about OS-level access, data security, operating security and infrastructure security. Delegates will acquire knowledge of how to secure connection with a bastion host. They will also learn about VPC endpoints and securing S3. This course explains how to prepare an Instance for a custom AMI and network segmentation. Post completion of this training, delegates will be able to use AWS config to audit resources.

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What’s included in this Introduction to AWS Security Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Security Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS EMR Training Course Outline

This course helps to acquire complete knowledge of Amazon Elastic MapReduce (EMR) for the collection Open Source Software utilities to analyse and computation of a large amount of data. The following modules cover all the required terms to get a better understanding of Amazon EMR. From this course, delegates have the opportunity to enhance his skill for the data analytic or data administrator.

Module 1: Introduction to Amazon EMR

  • Overview of Amazon EMR
  • Understanding Cluster and Nodes
  • Understand Processing Data
  • Understanding the Architecture
  • Benefits of Amazon EMR

Module 2: Amazon EMR Notebooks

  • Amazon EMR Notebooks Overview
  • Creating Notebook
  • Notebooks Working Concepts
  • Notebooks Monitoring

Module 3: Plan and Configure Clusters with Amazon EMR

  • Configure Cluster Location and Data Storage
  • Using EMR File System
  • Cluster Termination
  • Setting Up AMIs
  • Configuring Cluster Software
  • Configuring Cluster Hardware and Networking
  • Configuring Cluster Debugging

Module 4: Manage Cluster in Amazon EMR

  • Monitoring of Cluster
  • Terminate a Cluster
  • Scaling Cluster Resources
  • Cloning a Cluster Using the Console

Module 5: Security in Amazon EMR

  • Security Configurations
  • Data Protection in Amazon EMR
  • Authentication Management with Amazon EMR
  • Kerberos, Secure Socket Shell (SSH)
  • Amazon EC2 Security Groups

Module 6: Troubleshooting in Cluster

  • Troubleshooting Strategies
  • Tools for Troubleshooting

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Who Should Attend the AWS EMR Training Course?

The AWS EMR Training course is tailored for professionals seeking to gain expertise in Amazon Web Services Elastic MapReduce, a cloud-based big data processing service. This course will benefit the following professionals:

  • Data Engineers
  • Data Analysts
  • Data Scientists
  • Big Data Developers
  • Solution Architects
  • Software Engineers
  • DevOps Engineers
  • System Administrators

Prerequisites of the AWS EMR Training Course

There are no formal prerequisites to attend the AWS EMR Training Course. 

AWS EMR Training​ Course Overview

The AWS EMR is a web service allowing researchers, businesses, data analytics, and developers to process amounts of data efficiently. It utilises a hosted Hadoop framework running on the web-scale infrastructure of Amazon EC2 and Amazon S3. Amazon Elastic MapReduce (EMR) is a managed cluster platform that simplifies running Big Data frameworks, Apache Hadoop and Apache Spark, on AWS to process and analyse amounts of data. AWS EMR offers to accelerate low-configuration service as a more accessible alternative to running in-house cluster computing. AWS EMR is used for data analysis in data warehousing, machine learning, financial analysis, scientific simulation, log analysis, web indexing, and in other data fields.

In this 1 day course, delegates will get a comprehensive knowledge of AWS Elastic MapReduce (EMR) and its working overview as well as architecture. This course will provide the ability to plan and configure the cluster within a master node, task node, and core node. Working with Amazon AMIs is also included in this course. Delegates will also gain knowledge of how to manage the cluster. Additionally, delegates will learn about the security and troubleshooting strategies for this cluster.

Post completion of this course, delegates will be able to analyse and process the data in Amazon Elastic MapReduce (EMR) as well as plan and configure the cluster.

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What’s included in this AWS EMR Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS EMR Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Migrating Applications to AWS Training​ Course Outline

Module 1: AWS Business Essentials

  • Introduction to Cloud
  • Leveraging AWS for Competitive Benefits
  • Cloud Economics
  • Migrating to the Cloud
  • Security and Compliance

Module 2: AWS Technical Essentials

  • AWS: Introduction and History
  • AWS Foundational Services: EC2, VPC, S3, EBS
  • AWS Security, Identity, and Access Management: IAM
  • AWS Databases: RDS, DynamoDB
  • Tools of AWS Management: Auto Scaling, CloudWatch, Elastic Load Balancing
  • Trusted Advisor

Module 3: AWS Migration Strategy

  • AWS CAF – Cloud Adoption Framework
  • 6R Migration Pattern
  • AWS Well Architecture Framework

Module 4: Application Migration to AWS

  • Application Discovery Services
  • Server Migration Services
  • Agent Based and Agentless Server Migration Service

Module 5: Database Migration to AWS

  • DB Migration Challenges
  • Amazon Redshift
  • Amazon ElasticCache
  • Amazon Databases
  • AWS DB Migration Services
  • Migration Process

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Who should attend this Migrating Applications to AWS Training Course?

The Migrating Applications to AWS Course is designed for people who want to migrate applications to the AWS Cloud Platform. The Migrating Applications to AWS Training Course can benefit the following professionals:

  • Cloud Architects
  • System Administrators
  • DevOps Engineers
  • Database Administrators
  • Application Developers
  • Network Engineers
  • Compliance Officers

Prerequisites of the Migrating Applications to AWS Training Course

There are no formal prerequisites for this Migrating Applications to AWS Training Course.

Migrating Applications to AWS Training​ Course Overview

AWS stands for Amazon Web Services which provides a platform that offers flexible, reliable, scalable, easy-to-use and cost-effective cloud computing solutions. This training addresses three situations in which delegates will learn about batch processes, web applications migration and the backend processing.

This 2-day Migrating Applications to AWS Training Course will provide delegates with the complete knowledge about the planning and migrating processes of existing workloads to the AWS Cloud. They will understand the need for migration as well as understand the migration plan, strategy, and execution steps of migration.

During this training, delegates will gain knowledge about the latest concepts such as application migration planning and designing, post-migration support, portfolio discovery, execution of migration, and optimisation of the applications. With the help of Migrating Application to AWS training, delegates will be able to explain the migration planning, its principles, and practices.

By the end of this training, delegates will be able to understand application migration, portfolio discovery, planning and designing of migration, migration execution, and optimising process of the applications after migration.

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What’s included in this Migrating Applications to AWS Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Migrating Applications to AWS Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Introduction to AWS IoT Course Outline

Module 1: Introduction to AWS IoT

  • Concepts of IoT
  • Introduction to Cloud Computing
  • IoT Cloud Architecture
  • IoT Protocol Standard Framework and Stack
  • IoT Application Layer Protocols, API, and Libraries
  • AWS Account Creation

Module 2: Amazon Web Services

  • EC2 (Elastic Compute Cloud)
  • EBS (Elastic Block Storage)
  • VPC (Virtual Private Cloud)
  • AWS Lambda
  • Simple Notification Service
  • Simple Storage Service (S3)
  • Amazon Dynamo DB
  • Amazon Machine Learning Service
  • Amazon ElastiCache for Redis
  • AWS Cloud Watch
  • AWS Cloud Formation
  • AWS CLI

Module 3: AWS IoT (Amazon Internet of Thing) Stack

  • IoT Device SDK
  • Device Registry
  • Device Management
  • Certificates and Policies
  • Message Broker
  • Device Shadow Service
  • Rules Engine and Rule Actions
  • Amazon Greengrass Core
  • IoT Analytics Service
  • Integration with AWS Service Stack

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Who Should Attend the Introduction to AWS IoT Course?

The Introduction to AWS IoT Course is designed to provide a comprehensive understanding to professionals to familiarise them with the concepts and fundamentals of the Amazon Web Services (AWS) Internet of Things (IoT) platform. This course will benefit the following professionals:

  • IoT Developers
  • Embedded System Engineers
  • Solutions Architects
  • Software Engineers
  • Cloud Engineers
  • IoT Solutions Specialists
  • Entrepreneurs

Prerequisites of the Introduction to AWS IoT Course

There are no formal prerequisites to attend the Introduction to AWS IoT Course. However, a basic understanding of Internet of Things and cloud computing would be beneficial.  

Introduction to AWS IoT ​Course Overview

This course explains advanced embedded systems, communication protocols, networking, security and analytics. Delegates will also gain an understanding of the IoT cloud architecture and IoT application layer protocols, API and libraries. They will also learn how to create an Amazon web service account.

In this 1- day course, delegates will learn about elastic compute cloud (ec2), ESB (Elastic Block Store). In addition, delegates will also learn about VPC, SC3, Amazon Lambda, Simple Notification Service, Amazon Dynamo DB, and Amazon Machine Learning Service. This course explains AWS cloud watch, cloud formation and CLI. In this course, delegates will learn about the IoT device stack, device registry, and device management. They will also learn the working of message broker, device shadow and AWS green grass core. At the end of this course, delegates will learn about IoT analytics services and integration with AWS stack.

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What’s included in this Introduction to AWS IoT Course?

  • World-Class Training Sessions from Experienced Instructors
  • Introduction to AWS IoT Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS Identity and Access Management (IAM) Training​ Course Outline

Module 1: Introduction to IAM

  • What is IAM?
  • How IAM Works?
  • Permissions and Policies in IAM
  • What is ABAC?
  • Security Features Outside IAM
  • Working with AWS SDKs

Module 2: Identities

  • Users and User Groups
  • Roles
  • Tagging IAM Resources
  • Temporary Security Credentials
  • AWS Account Root User
  • Log Events with CloudTrail

Module 3: Access Management

  • Policies and Permissions
  • Managing IAM Policies
  • Permissions Required

Module 4: Security

  • Data Protection
  • Logging and Monitoring
  • Compliance Validation
  • Resilience
  • Infrastructure Security
  • Configuration and Vulnerability Analysis
  • Security Use Cases
  • AWS Managed Policies

Module 5: Access Analyser

  • Resource Types
  • How Access Analyser Works?
  • Settings
  • Access Analyser Findings
  • Access Analyser Policy Validation and Generation
  • Archive Rules
  • Preview Access
  • Access Analyser Reference
  • Monitoring with EventBridge
  • Security Hub Integration
  • Logging with CloudTrail

Module 6: Troubleshooting IAM

  • General Issues
  • Access Denied Error Messages
  • IAM Policies
  • FIDO Security Keys
  • IAM Roles
  • IAM and Amazon EC2
  • IAM and Amazon S3
  • SAML Federation

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Who Should Attend the AWS Identity and Access Management Training Course?

The AWS IAM Training Course is designed for professionals seeking to master the fundamental aspects of identity and access management in Amazon Web Services. This course will benefit the following professionals:

  • System Administrators
  • Security Professionals
  • Solutions Architects
  • DevOps Engineers
  • Compliance Officers
  • Cloud Security Specialists
  • Technical Leads
  • IT Managers

Prerequisites of the AWS Identity and Access Management Training Course

There are no formal prerequisites to attend the AWS Identity and Access Management Training Course. However, a basic understanding of cloud computing, networking and identity concepts, and access control concepts can be beneficial.

AWS Identity and Access Management (IAM) Training​ Course Overview

In this course, delegates will learn about AWS Identity and Access Management (IAM). AWS IAM is a web service that helps delegates securely control access to AWS Resources. Delegates will learn how to use IAM to control who is authenticated and authorised to use resources. In this course, delegates will learn about IAM concept and will get an understanding of how to create an IAM Admin User and Group.

During this course, delegates will learn how to create customer managed policy. This course explains how to control user access to the AWS Management Console. Delegates will learn about AWS Account ID and its Alias and will also gain an understanding of IAM console search. In addition, they will gain knowledge about IAM Identities like users, passwords and multi-factor authentication. This course explains delegates about policies and permissions, managing IAM policies, and understanding policies. Before completion of this course, delegates will learn how to troubleshoot general issues, policies, U2F security keys, IAM Roles, Amazon S3 and IAM, and SAML 2.0 Federation with AWS.

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What’s included in this AWS Identity and Access Management Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Identity and Access Management Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS Cloud9 Training Course Outline

The following modules are arranged to provide complete knowledge of OpsWorks, AWS CodeDeploy and AWS CodeStar. Delegates will have the opportunity to take part in Cloud-based infrastructure as a developer or administrator.

 

Module 1: Introduction to AWS Cloud9

  • What is AWS Cloud9?
  • How Does AWS Cloud9 Work?
  • What can I Do with AWS Cloud9?
  • How Do I Get Started?

Module 2: Setting Up

  • Individual User Setup
  • Team Setup
  • Enterprise Setup
  • Additional Setup Options

Module 3: Working with Environments

  • Creating an Environment
  • Accessing No-Ingress EC2 Instances with Systems Manager
  • Opening an Environment
  • Call AWS Services from an Environment
  • Changing Environment Settings
  • Working with Shared Environments
  • Moving an Environment and Resizing/Encrypting Amazon EBS Volumes
  • Deleting an Environment

Module 4: Working with the IDE

  • Run an Application
  • Preview a Running Application
  • Reload an Application Preview
  • Change the Application Preview Type
  • Open an Application Preview in a Separate Web Browser Tab
  • Switch to a Different Preview URL

Module 5: AWS Toolkit

  • Navigating and Configuring
  • API Gateway
  • AWS App Runner
  • AWS CloudFormation Stacks
  • Amazon S3
  • AWS SAM Applications and Step Functions

Module 6: Security

  • Data Protection
  • Identity and Access Management
  • Logging and Monitoring
  • Compliance Validation
  • Infrastructure Security
  • Configuration and Vulnerability Analysis
  • Security Best Practices

Module 7: Troubleshooting AWS Cloud9

  • Environment Creation Error
  • Console Error
  • Federated Identities Cannot Create Environments
  • Cannot Open an Environment
  • AWS Cloud9 Installer Hangs or Fails
  • SSH Environment Error
  • Application Preview or File Preview Notice
  • Cannot Run Some Commands or Scripts in an EC2 Environment
  • Amazon EC2 Instances are Not Automatically Updated
  • Previewing a File Returns a 499 Error

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Who Should Attend the AWS Cloud9 Training Course?

The AWS Cloud9 Training Course is designed for professionals aiming to maximise their productivity with AWS Cloud9, a cloud-based integrated development environment. This course will benefit the following professionals:

  • Software Developers
  • DevOps Engineers
  • Application Architects
  • System Administrators
  • Full-Stack Developers
  • Backend Developers
  • Frontend Developers
  • Solution Architects

Prerequisites of the AWS Cloud9 Training Course

There are no formal prerequisites to attend the AWS Cloud9 Training Course. However, a basic understanding of cloud computing would be beneficial.

AWS Cloud9 Training ​Course Overview

In this world, many organisations are looking for IT professionals to manage their cloud-based infrastructure and its services. Amazon still provides the best services and cloud computing infrastructure. AWS Cloud9 is an integrated development environment that allows to write, test, run and debug code with browser. In this environment, Amazon provides a code editor, debugger, and terminal. The AWS Cloud9 is the complete bundle of essential tools for popular programming languages, such as JavaScript, PHP, Python. Delegates do not need to install files or configure terms to start new development.

In this 1-day course, delegates will get a complete understanding of AWS Cloud9 and its working. Delegates will gain knowledge to create, run, and debug code in AWS Lambda functions, APIs in Amazon API Gateway, and serverless applications. This course will introduce delegates to development environments such as EC2 environments and SSH environments

During this course, delegates will get an understanding of how to create an EC2 instance and provision with cloud formation. The course will provide knowledge of how to deploy apps with code deploy. Delegates will gain knowledge of working with the Cloud9 cloud-based IDE. On this course completion, delegates will be able to create apps and Elastic Beanstalk environment and will get a comprehensive knowledge of AWS Cloud9.

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What’s included in this AWS Cloud9 Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Cloud9 Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Machine Learning Training Course Outline

Module 1: Get Started with Machine Learning

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning

Module 2: Machine Learning and Deep Learning Theory

  • Machine Learning Concepts
    • Machine Learning Lifecycle
    • Supervised Learning, Unsupervised Learning, and Reinforcement Learning
    • Optimisation
    • Hyperparameters and Validation
  • Machine Learning Algorithms
    • Linear Regression
    • Logistic Regression and Syntax of Logistic Regression
    • Support Vector Machines
    • Decision Tree and Random Forests
    • Latent Dirichlet Allocation
  • Deep Learning Algorithm
  • Model Performance and Optimisation
  • Machine Learning Tools and Frameworks

Module 3: Amazon Web Services

  • Introduction to AWS Services
    • S3
    • Glue
    • Athena
    • Quick Start
    • Kinesis Data Stream and Kinesis Data Firehose
    • Kinesis Video Streams
    • Kinesis Data Analytics
    • EMR with Spark
    • Amazon ML
  • AWS Application Services AI/MI 
    • Amazon Recognition
    • Amazon Polly
    • Amazon Translate
    • Amazon Comprehend
    • Amazon Lex
    • Amazon Service Chaining with AWS Step Functions

Module 4: Amazon SageMaker

  • What is Amazon SageMaker?
  • Three Stages
  • Control SDK and Control Notebooks
  • SageMaker Notebooks
  • Build
    • Data Preprocessing
    • Ground Truth
    • Preprocessing Image Data
    • Algorithms
  • Train
    • SageMaker Algorithms-Architecture
    • Training an Image Classifier
    • Hyperparameter Tunning
  • Deploy
    • Inference Pipelines
    • Real-Time and Batch Inference 
    • Deploy an Image Classifier
    • Accessing Inference form Apps
    • Create a Custom APIs for Inference
  • Security
    • Securing SageMaker Notebooks
    • SageMaker and the VPC

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Who Should Attend the AWS Machine Learning Training Course?

The AWS Machine Learning Training is designed for professionals aiming to harness the power of machine learning using Amazon Web Services technologies. This course will benefit the following professionals:

  • Data Scientists
  • Machine Learning Engineers
  • Software Developers
  • Data Engineers
  • Business Analysts
  • AI Researchers
  • Solution Architects

Prerequisites of the AWS Machine Learning Training Course

There are no formal prerequisites to attend the AWS Machine Learning Training Course.

AWS Machine Learning Training​ Course Overview

AWS Machine Learning is an Amazon Web Services product allowing developers to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns, and then create and implement predictive applications.

This course will teach delegates about machine learning concepts, data, and algorithms. In algorithms, delegates will gain an understanding of logistic regression, linear regression, support vector machines, decision trees and random trees etc. They will also learn about the Deep learning algorithms like Convolutional Neural Network (CNN), Recurrent Neural Network (RNN). In this course, delegates will learn about machine learning tools and frameworks. They will also gain an understanding of Jupyter notebooks, TensorFlow, and PyTorch.

This course explains about AWS services: S3, glue, Athena, EMR with Spark, and EC2 for machine learning. Delegates will gain an understanding of Amazon recognition, Amazon Polly, Amazon transcribe, Amazon translate and Amazon lex. They will also learn about Amazon SageMaker. It is a web service that enables a developer to build and train machine learning models to predict application in the AWS public cloud. In this course, they will learn how to secure SageMaker Notebooks and SageMaker and the VPC.

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What’s included in this AWS Machine Learning Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Machine Learning Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Aurora Training Course Outline

 

Module 1: Introduction to AWS Aurora

  • What is Aurora?
  • Aurora DB Clusters
  • Aurora Versions
  • Regions and Availability Zones
  • Supported Aurora Features by Region and Engine
  • Aurora Connection Management
  • DB Instance Classes
  • Aurora Storage and Reliability
  • Aurora Security
  • High Availability for Amazon Aurora
  • Replication with Aurora

Module 2: Configuring Your Aurora DB Cluster

  • Creating a DB Cluster
  • Creating Resources with AWS CloudFormation
  • Using Aurora Serverless v1 and Serverless v2
  • Using Aurora Global Databases
  • Connecting to a DB Cluster
  • Using RDS Proxy
  • Working with Parameter Groups
  • Migrating Data to a DB Cluster

Module 3: Managing an Aurora DB Cluster

  • Stopping and Starting a Cluster
  • Modifying an Aurora DB Cluster
  • Adding Aurora Replicas
  • Managing Performance and Scaling
  • Cloning a Volume for an Aurora DB Cluster
  • Integrating with AWS Services
  • Maintaining an Aurora DB Cluster
  • Rebooting an Aurora DB Cluster or Instance
  • Deleting Aurora Clusters and Instances
  • Tagging RDS Resources
  • Working with ARNs

Module 4: Monitoring an Aurora DB Cluster

  • Overview of Monitoring
  • Viewing Key Monitoring Information
  • Monitoring Aurora DB Cluster Metrics
  • Monitoring with Performance Insights
  • Analysing Performance with DevOps Guru for RDS
  • Monitoring OS Metrics
  • Working with Amazon RDS Events
  • Working with Database Logs
  • Working with AWS CloudTrail and Amazon RDS
  • Using Database Activity Streams

Module 5: Aurora MySQL and Aurora PostgreSQL

  • Working with Aurora MySQL
  • Working with Aurora PostgreSQL

Module 6: Security

  • Database Authentication
  • Data Protection
  • Identity and Access Management
  • Logging and Monitoring
  • Compliance Validation
  • Resilience
  • Infrastructure Security
  • VPC Endpoints
  • Security Best Practices
  • Controlling Access with Security Groups
  • Master User Account Privileges
  • Service-Linked Roles
  • Using Amazon Aurora with Amazon VPC

Module 7: Troubleshooting for Aurora

  • Can't Connect to Amazon RDS DB Instance
  • Amazon RDS Security Issues
  • Resetting the DB Instance Owner Password
  • Amazon RDS DB Instance Outage or Reboot
  • Amazon RDS DB Parameter Changes Not Taking Effect
  • Amazon Aurora MySQL Out of Memory Issues
  • Amazon Aurora MySQL Replication Issues

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Who Should Attend the AWS Aurora Training Course?

The AWS Aurora Training Course is a comprehensive training course designed for professionals aiming to learn about Amazon Web Services (AWS) Aurora database service and its features. This course will help the following professionals:

  • Database Administrators
  • Database Engineers
  • Data Architects
  • Cloud Engineers
  • Solutions Architects
  • Cloud Operations Engineers
  • DevOps Engineers

Prerequisites of the AWS Aurora Training Course

There are no formal prerequisites to attend the AWS Aurora Training Course. However, a basic understanding of cloud computing and relational databases would be beneficial.  

AWS Aurora Training Course Overview

AWS Aurora is a relational database engine from Amazon Web Services. It helps to overcome traditional database scalability, performance, and availability limitations in a cost-effective way. Aurora uses a high-performance storage subsystem that automates and standardises database clustering and replication.

This two-day AWS Aurora Training Course is designed to provide a thorough understanding of how to work with Aurora. Delegates will learn how to manage security, configure the Aurora DB cluster and migrate data to a cluster. The course also looks at how to work with Aurora MySQL and Aurora PostgreSQL.

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What’s included in this AWS Aurora Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Aurora Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Directory Service Training Course Outline

Module 1: AWS Directory Service

  • Introduction to AWS Directory Service
  • AWS Managed Microsoft Active Directory Editions
    • Standard Edition
    • Enterprise Edition

Module 2: Setting Up AWS Directory Service

  • Sign Up for an AWS Account
  • Create an IAM User

Module 3: AWS Managed Microsoft AD

  • Get Started with AWS Managed AD
    • AWS Managed Microsoft AD Prerequisites
    • Create AWS Managed Microsoft AD Directory
  • Key Concept
    • Active Directory Schema
    • Patching and Maintenance
    • Group Managed Service Accounts
    • Kerberos Constrained Delegation
  • Security, Monitoring and Managing AWS Managed Microsoft AD
    • How to Secure and Monitor Directory?
    • Share Directory
    • Join an EC2 Instance to Directory
    • Manage Users and Groups
    • Connect to Your Existing AD Infrastructure
    • Maintain Directory and Grant Access to AWS Resources
    • Enable Access to AWS Application and Services and Management Console
    • Deploy Additional Domain Controllers
    • Application Compatibility Policy for AWS Managed Microsoft AD
  • Troubleshooting AWS Managed Microsoft AD
    • DNS Troubleshooting and Linux Domain Join Errors
    • Unable to Read Import File
    • Syntax Error and Attribute or Value Exists
    • Trust Creation Status Reasons
    • General Tool for Testing Trusts

Module 4: Active Directory Connector

  • AD Connector Prerequisites
  • Create an AD Connector
  • Secure and Monitor AD Connector Directory
  • Join an EC2 Instance to AD Connector
  • Maintain AD Connector
  • Update DNS for AD Connector
  • Application Compatibility Policy for AD Connector
  • Troubleshooting AD Connector

Module 5: IAM Authentication and Access Control

  • Managing Access Permissions
  • Identity-Based Policies (IAM Policies)
  • Active Directory Service API Permissions Reference

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Who Should Attend the AWS Directory Service Training Course?

The AWS Directory Service Training Course is designed for individuals interested in mastering the usage of Amazon Web Services (AWS) Directory Service for managing and securing directory-based identities and resources. This course will help the following professionals:

  • Systems Administrators
  • Cloud Engineers
  • DevOps Engineers
  • Security Engineers
  • Application Developers
  • IT Managers
  • Business Analysts

Prerequisites of the AWS Directory Service Training Course

There are no formal prerequisites to attend the AWS Directory Service Training Course. However, a basic understanding of directory services and cloud computing would be beneficial.  

AWS Directory Service Training Course Overview

In this course, delegates will learn about AWS directory service. It provides multiple paths to use Microsoft Active Directory and Amazon Cloud Directory with other AWS services. Active directories store information about users, devices, groups and administrators, and use them to access information and resources. AWS Directory service provides multiple directory choices for a customer who wants to use Microsoft AD or lightweight directory access protocol. AWS Directory Service also offers the same choices to developers who need a directory to manage users, devices, groups, and access.

In this 2-day course, delegates will learn about AWS Managed Microsoft Active Directory and Active Directory Connector. They will learn how to create AWS Managed Active Directory and Active Directory Connector. Delegates will get an understanding about the active directory schema, patching and maintenance, group managed service account, and Kerberos constrained delegation in Microsoft Managed Active Directory.

During this course, delegates will learn how to secure, manage and monitor a directory. Delegates will be equipped with the knowledge of how to manage users, groups, and troubleshoot active directory problems. Post completion of this training, delegates will also gain an understanding of IAM Authentication and Access Control.

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What’s included in this AWS Directory Service Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Directory Service Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Deep Learning on AWS Course Outline

Module 1: Introduction to Deep Learning on AWS

  • Deep Learning on AWS

Module 2: Deep Learning Process for Build, Train, and Deploy

  • Collect Data
  • Choose and Optimise Your Algorithm
  • Set Up and Manage the Environment for Training
  • Train, Retrain, and Tune the Models
  • Deploy Models in Production
  • Scale and Manage the Production Environment

Module 3: Challenges with Deep Learning Projects

  • Software Management
  • Performance Optimisation
  • Collaborative Development
  • Infrastructure Management
  • Scalability

Module 4: Highly Optimised AWS Technology Building Blocks for Deep Learning

  • Storage
  • Compute
  • Software
  • Networking and Solutions

Module 5: Code, Data, and Model Versioning

  • Version Code with Git
  • Version Data in Amazon S3
  • Version Model in Amazon S3

Module 6: Automation of Deep Learning Process for Retrain and Redeploy

  • AWS Step Functions for Amazon SageMaker
  • Apache Airflow for Amazon SageMaker
  • Kubeflow Pipelines on Kubernetes

Module 7: Patterns for Deep Learning at Scale

  • Options for Deep Learning on AWS
  • Use Amazon SageMaker
  • Use Kubernetes with Kubeflow on AWS
  • Use Amazon EC2

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Who Should Attend the Deep Learning on AWS Course?

This Deep Learning on AWS Course is designed for professionals who want to gain expertise in deep learning techniques and apply them using Amazon Web Services tools and resources. This course will benefit professionals, such as:

  • Data Scientists
  • Machine Learning Engineers
  • AI Researchers
  • Deep Learning Engineers
  • Software Developers
  • Data Analysts
  • Computer Vision Engineers

Prerequisites of the Deep Learning on AWS Course

There are no formal prerequisites to attend the Deep Learning on AWS Course. However, a basic understanding of machine learning and cloud computing would be beneficial.

Deep Learning on AWS Course Overview

This course explains about Deep Learning on AWS. Amazon SageMaker is a fully-managed machine learning platform that makes it easy to quickly and easily build, train, and deploy machine learning models at any scale. The AWS Deep Learning AMIs lets you build custom environments and workflows. In this 1-Day course, delegates will learn about the process of building, training, and deploying Deep Learning alongside the challenges associated with it. In this course, delegates will learn about the highly optimised AWS technology Building Blocks for Deep Learning, code, and data and model versioning.

In this 1-day course, delegates will learn AWS Step Functions for Amazon SageMaker, Apache Airflow for Amazon Sage and Kubeflow Pipeline on Kubernetes. They will also gain an understanding of how to use Amazon SageMaker and Kubernetes with Kubeflow on AWS.

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What’s included in this Deep Learning on AWS Course?

  • World-Class Training Sessions from Experienced Instructors
  • Deep Learning on AWS Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Kafka Training on AWS Course Outline

This course is designed for IT Professionals and the Amazon Technologies learners. The following modules are arranged as a technical spectrum to acquire the skill of data-plan and managed plan operation for producing and consuming the data. The learning area of this outline will provide the knowledge of troubleshooting and security in Amazon MSK. So, let's start the journey with:

Module 1: Introduction to Amazon MSK (Kafka)

  • Amazon MSK Overview
  • Amazon MSK Components
  • Features of Amazon MSK

Module 2: Operations and Configuration for Amazon MSK

  • Create and Setup VPC for Amazon MSK
  • Introduction to Cluster Operations in Amazon MSK
  • Connection String
  • Scaling Up Broker Storage
  • Configuration Types in Amazon MSK

Module 3: Security in Amazon MSK

  • Overview of Security Strategies
  • Data Protection
  • Managing the Access to Apache Zookeeper
  • Logging and Monitoring for Amazon MSK
  • Compliance Validation for Amazon MSK

Module 4: Troubleshooting for Amazon MSK Cluster

  • Understand Troubleshooting Strategies

Module 5: Migrating Clusters with Amazon Service

  • Migrating to Amazon MSK 
    • MirrorMaker 2.0 (MM2)
    • Apache Flink
    • AWS Lambda

 

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Who Should Attend the Kafka Training on AWS Course?

The Kafka Training on AWS Course is designed for professionals aiming to acquire in-depth knowledge of Amazon Web Services and Apache Kafka, a popular distributed event streaming platform. This course will benefit the following professionals:

  • Data Engineers
  • Data Architects
  • Software Developers
  • Solution Architects
  • DevOps Engineers
  • System Administrators
  • Big Data Analysts
  • Data Scientists

Prerequisites of the Kafka Training on AWS Course

There are no formal prerequisites to attend the Kafka Training on AWS Course. 

Kafka Training on AWS​ Course Overview

Amazon MSK is a streaming data managed service that allows to build and run applications that use Apache Kafka to process streaming data. Amazon MSK provides managed-plan operations like those for creating, updating, and deleting clusters. Amazon MSK is allowed to use Apache Kafka data-plane operations, such as for producing and consuming data. This Amazon managed service is leading the infrastructure and operations, for developers to run the Apache Kafka applications on AWS. Amazon MSK is responsible for operating and maintaining Apache Kafka clusters, providing high-level security to an organisation and Amazon integrations that accelerate the development of streaming data applications.

From this course, delegates will get complete knowledge about Amazon MSK and its essential terms. Delegates will learn about Cluster operations like creating, updating, and deleting the cluster. The course will also teach how to secure the Cloud and protect the data in Amazon managed streaming for Kafka as well as identity and access management for Amazon Management Streaming for Apache Kafka. Troubleshooting is also included in this course and delegates will get a better understanding of troubleshooting strategies to get the ability to resolve issues.

Post completion of this course, delegates will be able to understand the Apache Kafka data plan operations such as for producing and consuming data. In addition, they will learn about the managed plan operations such as creating, updating and deleting clusters.

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What’s included in this Kafka Training on AWS Course?

  • World-Class Training Sessions from Experienced Instructors
  • Kafka Training on AWS Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS CloudFormation Training Course Outline

Module 1: Get Started with AWS CloudFormation

  • Introduction to AWS CloudFormation
  • AWS CloudFormation Features
  • Working of AWS CloudFormation

Module 2: Setting Up

  • Signing in for an AWS Account and Pricing
  • Controlling Access with IAM
  • Logging CloudFormation API Calls
  • AWS CloudFormation Limits
  • Setting Up VPC Endpoint for AWS CloudFormation

Module 3: Continuous Delivery with Code Pipeline

  • Overview of Building a Pipeline for Test and Production Stacks
  • Building a Pipeline for Test and Production Stacks
  • Configure Properties Reference
  • AWS CloudFormation Artifacts
  • Parameter Override Functions with Code Pipeline Pipelines

Module 4: Working with Stacks

  • Creating a Stack Using Console
  • Stack Updates
  • Detecting Unmanaged Configuration Changes to Stack and Resources
  • Exporting Stack Output Values
  • Working with Nested Stacks

Module 5: Working with Template

  • Template Format and Anatomy
  • Template Snippets
  • Custom Resources
  • Template Macros

Module 6: Working with AWS CloudFormation Stack Sets

  • Stack Set Concepts
  • Stack Set Operations
  • Create a New Stack Set
  • Update Stack Set
  • Add Stacks to Stack Set
  • Override Parameters on Stack Instance
  • Delete Stack Instances and Stack Sets

Module 7: Troubleshooting AWS CloudFormation

  • Troubleshooting Errors
    • Delete Stack Fails
    • Dependency Errors
    • Error Parsing Parameter When Passing a List
    • Insufficient IAM Permissions
    • Invalid Value or Unsupported Resource Property
    • Limit Exceeded
    • No Updates to Perform
    • Resource Failed to Stabilize During an Update, Delete Stack Operation or Create
    • Security Group does not Exist in VPC
    • Update Rollback Failed
    • Resource Removed from Stack but Not Deleted

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Who Should Attend the AWS CloudFormation Training Course?

The AWS CloudFormation Training Course is designed for professionals seeking to learn how to provision and manage infrastructure as code using Amazon Web Services (AWS) CloudFormation. This course will help the following professionals:

  • AWS Cloud Engineers
  • Solutions Architects
  • DevOps Engineers
  • Infrastructure Automation Specialists
  • System Administrators
  • Cloud Operations Engineers
  • Application Deployment Engineers

Prerequisites of the AWS CloudFormation Training Course

There are no formal prerequisites to attend the AWS CloudFormation Training Course. However, a basic understanding of infrastructure as code and cloud computing would be beneficial.  

AWS CloudFormation Training​ Course Overview

This course teaches delegates about CloudFormation. This service helps delegates in setting up their AWS resources so that they can spend less time managing those resources and more time focusing on their application that runs on AWS. In this course, delegates will learn about AWS CloudFormation concepts and how it works.

During this course, delegates will gain an understanding of how to sign up for an AWS Account, control access, log CloudFormation API calls, AWS CloudFormation limits and set up VPC endpoint for AWS CloudFormation. This course also explains about continuous delivery with code PipeLine.

In this 1-day course, delegates will learn how to work with stack and templates. They will also learn about StackSet concepts, granting permission for StackSet operation, creating, updating and deleting StackSet. In addition, delegates will also learn how to configure a target account gate in AWS CloudFormation StackSets. On completion of this training, delegates will be able to troubleshoot Amazon CloudFormation.

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What’s included in this AWS CloudFormation Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS CloudFormation Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS EC2 with Linux Training Course Outline

Module 1: Get Started with Amazon EC2

  • What is Amazon EC2?
  • Features of Amazon EC2
  • Instances and AMIs
  • Regions and Availability Zones
  • Root Device Volume
  • Setting Up with Amazon EC2

Module 2: Amazon Machine Images (AMI) 

  • What is Amazon Machine Images (AMI)?
  • Types of AMI and Virtualisation
  • Finding a Linux AMI
  • Shared and Paid AMIs
  • Creating an Amazon EBS-Backed Linux AMI
  • Using Encryption with EBS-Backed AMIs
  • Copy an AMI
  • Deregistering Linux AMI
  • Amazon Linux
  • Running Amazon Linux 2 as a Virtual Machine On-Premises
  • User Provides Kernels

Module 3: Learn Instances 

  • Instance Types
  • Instance Purchasing Options
  • Instance Lifecycle
  • Configure Instances
  • Identify Instances

Module 4: Amazon Elastic Inference

  • What is Amazon Elastic Inference?

Module 5: Monitoring 

  • Monitoring in Amazon EC2
  • Automated Monitoring Tools
  • Manual Monitoring Tools
  • Monitoring the Status of Your Instances
  • Monitoring Your Instances Using CloudWatch
  • Automating Amazon EC2 with ClouldWatch Events
  • Monitoring Memory and Disk Metrics
  • Logging API Calls with AWS CloudTrails

Module 6: Network and Security

  • Key Pairs
  • Security Groups
  • Controlling Access
  • Instance IP Addressing
  • Elastic IP Address
  • Network Interfaces
  • Learn Enhanced Networking on Linux
  • Elastic Fabric Adapter
  • Placement Groups
  • Network MTU
  • Virtual Private Clouds
  • Introduction to EC2 Classic

Module 7: Storage

  • Amazon EBS
  • Instance Store
  • File Storage
  • Amazon S3
  • Instance Volume Limits
  • Device Naming
  • Block Device Naming

Module 8: EC2 Rescue for Linux

  • Introduction
  • Installing EC2 Rescue for Linux
  • Verify the Signature of EC2 Rescue for Linux
  • Working with EC2 Rescue for Linux
  • Developing EC2 Rescue Modules

Module 9: Troubleshooting

  • Troubleshoot Launch Instance
  • Troubleshooting Connecting to Your Instance
  • Troubleshooting Stopping Your Instance
  • Troubleshooting Terminating Your Instance
  • Failed Status Check
  • Troubleshoot an Unreachable Instance

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Who Should Attend the AWS EC2 with Linux Training Course?

The AWS EC2 with Linux Training Course is designed for individuals aiming to gain expertise in deploying and managing Linux instances on Amazon Web Services. This course will benefit the following professionals:

  • System Administrators
  • DevOps Engineers
  • Solutions Architects
  • Cloud Engineers
  • Technical Leads
  • Operations Managers
  • IT Managers
  • Cloud Specialists

Prerequisites of the AWS EC2 with Linux Training Course

There are no formal prerequisites to attend the AWS EC2 with Linux Training Course. However, a basic understanding of Linux commands and operating system concepts can be beneficial.

AWS EC2 with Linux Training Course Overview

In this course, delegates will also learn about Amazon EC2. It provides scalable computing capacity in the AWS Cloud. Delegates can develop and deploy application faster with EC2. They can use Amazon EC2 to launch virtual servers, configure network and security, and manage storage. It enables delegates to scale up or down to handle changes in requirements.

In this course, delegates will learn how to create Amazon EBS-Backed Linux AMI. They will learn about instances, the types of instances, purchasing options, instances lifecycle, configure instances and identity instances. This course explains about EC2 monitoring, network and security. Delegates will gain knowledge about amazon EBS, Instance Store, file storage, S3 and instance volume limits. They will also get an understanding of how to troubleshoot EC2 instances.

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What’s included in this AWS EC2 with Linux Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS EC2 with Linux Certificate
  • Digital Delegate Pack

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AWS Certification Training Courses FAQs

FAQ's

Amazon Web Services or AWS is the world’s leading and most secure cloud services platform that helps businesses grow and develop with a stable IT infrastructure. Our AWS Courses are designed to equip individuals with the knowledge and skills necessary to work with AWS cloud services.
Learning about AWS is important because it is a dominant cloud services provider, offers scalability and flexibility, provides cost efficiency, offers a wide range of services, and promotes innovation with cutting-edge technologies. It also offers security knowledge and supports continuous learning and career growth.
AWS is used by a diverse range of individuals, including developers, organisations of all sizes, government agencies, and startups, who leverage its cloud computing services to power their applications, store data, and scale their operations efficiently. Nonprofit organisations also use AWS as it provides services to support fundraising, disaster recovery, data storage, and delivery of services to communities.
AWS core services encompass essential components such as Amazon EC2 for computing, Amazon S3 for storage, Amazon RDS for databases, Amazon VPC for networking, and Amazon IAM for access management, forming the foundation of the AWS cloud platform. It also includes AWS CloudWatch for monitoring and AWS CloudFront for content delivery. You will attain in-depth knowledge about these core services in our AWS Courses.
AWS Training Courses cover various aspects of cloud computing using the AWS platform. Our wide range of AWS Courses includes topics like Big Data, Data Warehousing, Machine Learning, Artifical intelligence, etc. Therefore, AWS-certified professionals are proficient in various AWS cloud services and designing, deploying, and managing AWS solutions.
In AWS Certification Training, the objectives are to provide comprehensive knowledge and practical skills necessary to pass the AWS exams, build expertise in cloud computing, and equip participants with the confidence and competence to excel in their careers as AWS professionals.
Anyone who wants to validate their AWS skills and expertise should consider taking the AWS Training. It is suitable for Developers, IT Professionals, System Administrators, Architects, and individuals seeking career opportunities in cloud computing.
Our AWS Certified Cloud Practitioner course is best suited for beginners. This AWS Course covers essential topics and provides a foundational understanding of AWS cloud services.
The Knowledge Academy offers several advanced AWS Training courses, including AWS Professional Solutions Architect Training Course, AWS Advanced Architecture Certification Training Course, DevOps Engineering On AWS - Professional Certification, etc. These AWS Certification courses cater to different areas of expertise and provide in-depth knowledge in their respective domains. You can explore our wide range of AWS Courses from the ‘AWS Certification Training Courses’ section above.
No, programming skills are not necessary for AWS Training Courses. While some AWS services can be utilised without extensive programming knowledge, others require scripting or programming skills for effective implementation and customisation.
With an AWS Certification, you can expect job roles such as AWS Solutions Architect, AWS Developer, AWS SysOps Administrator, Cloud Engineer, DevOps Engineer, Cloud Architect, and Cloud Consultant. These roles involve designing, implementing, and managing AWS solutions, infrastructure, and applications.
To become AWS-certified, individuals need to select an AWS Certification path like Architect or Developer, prepare for the exam, and then pass the corresponding certification exam to demonstrate their proficiency in AWS services and best practices.
The difficulty level of acquiring AWS certificates vary depending on the certification level and your prior experience and knowledge of AWS. Hands-on experience with AWS services and proper preparation for the exam via AWS Training can significantly increase your chances of earning the AWS certificate.
Yes, AWS offers excellent career opportunities as it is widely adopted by organisations worldwide. As the demand for cloud computing and AWS skills have increased, increases, AWS Certifications lead to lucrative job prospects and career growth. AWS also provides opportunities for ongoing learning as it continually releases new services and features.
AWS Courses offer numerous benefits, including expanded career opportunities, industry recognition, validating your expertise in cloud computing and providing a competitive edge in the job market. Additionally, they enhance your knowledge, confidence, and access to the AWS community for continuous learning and professional growth.
An AWS Certification can significantly boost your career by validating your expertise in AWS services and architecture. It enhances your credibility, increases job opportunities, and can lead to higher-paying roles in the rapidly growing field of cloud computing.
The Knowledge Academy is a globally recognised training provider for AWS Training courses with certified and highly skilled instructors. We deliver training solutions to corporates, government agencies, public sectors, multinational organisations, and individuals. We offer a comprehensive selection of courses across various domains, including IT, Project Management, Cybersecurity, and more.
If you are experiencing issues accessing your AWS Course, please get in touch with our Customer Support Team. Our entire Customer Support Team is ready to assist you 24/7 and resolve any technical difficulties or access problems you may be facing. You can find our contact information, such as phone numbers or email addresses, towards the end of this page. or in the communication you received regarding your course enrolment.
The Knowledge Academy is the Leading global training provider for AWS Certification Training Courses.
The price for AWS Certification Training Courses certification in the United Kingdom starts from £1795.

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