This training introduces AWS products, services, and common solutions with immersive exercises and hands-on activities. It helps learners who do not come from a technical background to gain proficiency in Amazon Web Services and empowers them to make informed decisions about IT solutions based on business requirements.

Module 1: AWS Learning Resources & Getting Started

Module 2: Introduction to AWS Platforms

Module 3: AWS Products and Services Part 1

Module 4: AWS Products and Services Part 2

Module 5: Delivering Solutions using AWS

Module 6: AWS Resources

By the end of the course, you should be able to:

• Identify AWS user groups and online tools and resources available.
• Create an AWS account.
• Identify technical terminology and concepts as they relate to the cloud and AWS platform.
• Describe key AWS Compute and Storage products and services, including EC2, EC2 Security, related application services and CloudFormation templates, VPC, Amazon storage gateway and lifting, storage on S3 and Glacier.
• Describe key AWS Scale and Networking products and services, including ELB, Auto Scale, CloudWatch metrics and alarms, Elastic BeanStalk , Networking with VPC, DirectConnect, Amazon Route 53, and CloudFront.
• Describe the impact and importance of Architecture.
• Identify the related Application services and CloudFormation templates.
• Demonstrate how to launch and manage server instances in the AWS cloud.
• Construct a hosted static website.
• Deploying Infrastructure and Applications.
• Describe the account, billing (tagging), pricing credentials delegation, reporting.

This course is intended for Individuals who need a basic introduction to AWS core services.

Developing on AWS helps developers understand how to use the AWS SDK to develop secure and scalable cloud applications. The course provides in-depth knowledge about how to interact with AWS using code and covers key concepts, best practices, and troubleshooting tips.

Day 1:
• Building the Foundation
• Introduction to Developing on AWS
• Choosing a Data Store
• Developing Storage Solutions with Amazon S3
• Developing Flexible NoSQL Solutions with Amazon DynamoDB.

Day 2:
• Connecting Applications and Data with Event-Driven Processing
• Working with Events
• Developing Event-Driven Solutions with Amazon Kinesis Streams
• Developing Event-Driven Solutions with Amazon SWF, Amazon SQS, and Amazon SNS
• Developing Event-Driven Solutions with AWS Lambda.

Day 3:
• Developing and Deploying Secure, Scalable Applications
• Developing Secure Applications
• Caching Information for Scalability
• Monitoring Your Application and AWS Resources with Amazon CloudWatch
• Deploying Applications with AWS Elastic Beanstalk and AWS CloudFormation.

By the end of the course, you should be able to:

• Set up the AWS SDK and developer credentials for Java, C#/.Net, Python, and JavaScript.
• Use the AWS SDK to interact with AWS services and develop solutions.
• Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores.
• Integrate applications and data by using Amazon Kinesis, AWS Lambda, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and Amazon Simple Workflow Service (Amazon SWF).
• Use AWS Identity and Access Management (IAM) for service authentication.
• Use Web Identity Framework and Amazon Cognito for user authentication.
• Use Amazon ElastiCache and Amazon CloudFront to improve application scalability.
• Deploy applications by using AWS Elastic Beanstalk and AWS CloudFormation.

This course is intended for Intermediate-level software developers.

We recommend that attendees of this course have the following prerequisites:

• A Familiarity with AWS services
• A working knowledge of Java, C#/.Net, or Python.

DevOps Engineering on AWS demonstrates how to use the most common DevOps patterns to develop, deploy and maintain applications on AWS. The course covers the core principles of the DevOps methodology and examines a number of use cases applicable to startup, small-medium business, and enterprise development scenarios.

Day 1:
• What is DevOps?
• Infrastructure as Code, Part 1: Design and Security
• Infrastructure as Code, Part 2: CloudFormation and Configuration Management.

Day 2:
• Continuous Integration in the Cloud
• Continuous Delivery on AWS
• Deploying Applications on AWS, Part 1.

Day 3:
• Deploying Applications on AWS, Part 2
• Putting It All Together
• Performance-Tuning Your Deployments
• Administering and Automating Your Infrastructure.

By the end of the course you should be able to:

• Use the principal concepts and practices behind the DevOps methodology.
• Design and implement an infrastructure on AWS that supports one or more DevOps development projects.
• Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project.
• Set up Git on AWS and understand the array of options for enabling a Continuous Integration environment on AWS.
• Use the core principles of Continuous Integration and Continuous Deployment.
• Implement several common Continuous Deployment use cases using AWS technologies, including blue/green deployment and A/B testing.
• Distinguish between the array of application deployment technologies available on AWS (including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, and Amazon EC2 Container Service), and decide which technology best fits a given scenario.
• Fine tune the applications you deliver on AWS for high performance and use AWS tools and technologies to monitor your application and environment for potential issues.

This course is intended for System Administrators and Software Developers.

We recommend that attendees of this course have the following prerequisites:

• Attended Cloud Operations on AWS (formerly Systems Operations) (AWSSYS) or Attended Developing on AWS (AWSD)
• Working knowledge of one or more high-level programming languages (C#, Java, PHP, Ruby, Python, etc.)
• Intermediate knowledge of administering Linux or Windows systems at the command-line level
• Working experience with AWS using both the AWS Management Console and the AWS Command Line Interface (AWS CLI).

In this course, you will learn to identify services and features to build resilient, secure and highly available IT solutions on the AWS Cloud. Architectural solutions differ depending on industry, types of applications, and business size.

AWS Authorised Instructors emphasise best practices using the AWS Well-Architected Framework, and guide you through the process of designing optimal IT solutions, based on real-life scenarios. The modules focus on account security, networking, compute, storage, databases, monitoring, automation, containers, serverless architecture, edge services, and backup and recovery.

At the end of the course, you will practice building a solution and apply what you have learned with confidence.

Module 1: Introductions & Course Map review

Module 2: Architecting Fundamentals Review

Module 3: Account Security

Module 4: Networking, Part 1

Module 5: Compute

Module 6: Storage

Module 7: Database Services

Module 8: Monitoring and Scaling

Module 9: Automation

Module 10: Containers

Module 11: Networking, Part 2

Module 12: Serverless Architecture

Module 13: Edge Services

Module 14: Backup and Recovery

By the end of the course, you should be able to:

• Identify AWS architecting basic practices.
• Explore using the AWS management tools: The AWS Console, Command Line Interface (CLI), and CloudFormation in a lab environment.
• Examine the enforcement of accounts security using policies.
• Identify the elements that build an elastic, secure, virtual network that includes private and public subnets.
• Practice building an AWS core networking infrastructure.
• Determine strategies for a layered security approach to Virtual Private Cloud (VPC) subnets.
• Identify strategies to select the appropriate compute resources based on business use-cases.
• Practice building a VPC and adding an Elastic Cloud Compute (EC2) instance in a lab environment.
• Practice installing an Amazon Relational Database Service (RDS) instance and an Application Load Balancer (ALB) in the VPC you created.
• Compare and contrast AWS storage products and services, based on business scenarios.
• Compare and contrast the different types of AWS database services based on business needs.
• Practice building a highly available, auto-scaling database layer in a lab.
• Explore the business value of AWS monitoring solutions.
• Identify and discuss AWS automation tools that will help you build, maintain and evolve your infrastructure.
• Discuss network peering, VPC endpoints, gateway and routing solutions based on use-cases.
• Discuss hybrid networking configurations to extend and secure your infrastructure.
• Discuss the benefits of microservices as an effective decoupling strategy to power highly available applications at scale.
• Explore AWS container services for the rapid implementation of an infrastructure-agnostic, portable application environment.
• Identify the business and security benefits of AWS serverless services based on business examples.
• Practice building a serverless infrastructure in a lab environment.
• Discuss the ways in which AWS edge services address latency and security.
• Practice building a CloudFront deployment with an S3 backend in a lab environment.
• Explore AWS backup, recovery solutions, and best practices to ensure resiliency and business continuity.
• Build a highly available and secure cloud architecture based on a business problem, in a project based facilitator-guided lab.

This course is intended for solutions architects, solution-design engineers, developers seeking an understanding of AWS architecting and individuals seeking the AWS Solutions Architect-Associate certification.

We recommend that attendees of this course have the following prerequisites:

• Attended AWS Cloud Practitioner Essentials (CP-ESS)
• Working knowledge of distributed systems
• Familiarity with general networking concepts
• Familiarity with IP addressing
• Working knowledge of multi-tier architectures
• Familiarity with cloud computing concepts.

In this course, each module presents a scenario with an architectural challenge to be solved. You will examine available AWS services and features as solutions to the problem. You will gain insights by participating in problem-based discussions and learning about the AWS services that you could apply to meet the challenges. Over 3 days, the course goes beyond the basics of a cloud infrastructure and covers topics to meet a variety of needs for AWS customers.

Course modules focus on managing multiple AWS accounts, hybrid connectivity and devices, networking with a focus on AWS Transit Gateway connectivity, container services, automation tools for continuous integration/continuous delivery (CI/CD), security and distributed denial of service (DDoS) protection, data lakes and data stores, edge services, migration options, and managing costs. The course concludes by presenting you with scenarios and challenging you to identify the best solutions.

The final day is an AWS Jam, a gamified event, with teams competing to score points by completing a series of challenges according to established best practices based on concepts covered in the course. You get to experience a wide range of AWS services in a series of real-world scenarios that represent common operational and troubleshooting tasks. The end result is developing, enhancing, and validating your skillsets in the AWS Cloud through real-world problem solving, exploring new services, features, and understanding how they interoperate.

Module 1: Reviewing Architecting Concepts

Module 2: Single to Multiple Accounts

Module 3: Hybrid Connectivity

Module 4: Specialised Infrastructure

Module 5: Connecting Networks

Module 6: Containers

Module 7: Continuous Integration/Continuous Delivery (CI/CD)

Module 8: High Availability and DDoS Protection

Module 9: Securing Data

Module 10: Large-Scale Data Stores

Module 11: Large-Scale Applications

Module 12: Optimising Cost

Module 13: Migrating Workloads

Module 14: Review Projects

Module 15: AWS Jam

By the end of the course, you should be able to:

• Review the AWS Well-Architected Framework to ensure understanding of best cloud design practices by responding to poll questions while following a graphic presentation.
• Demonstrate the ability to secure Amazon Simple Storage Service (Amazon S3) virtual private cloud (VPC) endpoint connections in a lab environment.
• Identify how to implement centralised permissions management and reduce risk using AWS Organisations organisational units (OUs) and service control policies (SCPs) with AWS Single Sign-On.
• Compare the permissions management capabilities of OUs, SCPs, and AWS SSO with and without AWS Control Tower to determine best practices based on use cases.
• Discuss AWS hybrid network designs to address traffic increases and streamline remote work while ensuring FIPS 140-2 Level 2, or Level 3 security compliance.
• Explore the solutions and products available to design a hybrid infrastructure, including access to 5G networks, to optimize service and reduce latency while maintaining high security for critical on-premises applications.
• Explore ways to simplify the connection configurations between applications and high-performance workloads across global networks.
• Demonstrate the ability to configure a transit gateway in a lab environment
  Identify and discuss container solutions and define container management options.
• Build and test a container in a lab environment.
• Examine how the AWS developer tools optimise the CI/CD pipeline with updates based on near-real-time data.
• Identify the anomaly detection and protection services that AWS offers to defend against DDoS attacks.
• Identify ways to secure data in transit, at rest, and in use with AWS Key Management Service (AWS KMS) and AWS Secrets Manager.
• Determine the best data management solution based on frequency of access, and data query and analysis needs.
• Set up a data lake and examine the advantages of this type of storage configuration to crawl and query data in a lab environment.
• Identify solutions to optimise edge services to eliminate latency, reduce inefficiencies, and mitigate risks.
• Identify the components used to automate the scaling of global applications using geolocation and traffic control.
• Deploy and activate an AWS Storage Gateway file gateway and AWS DataSync in a lab environment.
• Review AWS cost management tools to optimise costs while ensuring speed and performance.
• Review migration tools, services, and processes that AWS provides to implement effective cloud operation models based on use cases and business needs.
• Provide evidence of your ability to apply the technical knowledge and experience gained in the course to improve business practices by completing Review Projects.
• Work in a team environment to solve real AWS use-case challenges in an AWS Jam.

This course is intended for cloud architects, solutions architects, and anyone who designs solutions for cloud infrastructures.

We recommend that attendees of this course have the following prerequisites:

• Knowledge and experience with core AWS services from the Compute, Storage, Networking, and AWS Identity and Access Management (IAM) categories
• Attended the Architecting on AWS (AWSA) classroom training OR
• Achieved the AWS Certified Solutions Architect – Associate certification OR
• Have at least 1 year of experience operating AWS workloads.

This course teaches systems operators and anyone performing cloud operations functions how to manage and operate automatable and repeatable deployments of networks and systems on AWS.

You will learn about cloud operations functions, such as installing, configuring, automating, monitoring, securing, maintaining, and troubleshooting these services, networks, and systems. The course also covers specific AWS features, tools, and best practices related to these functions.

Module 1: Introduction to Cloud Operations on AWS

Module 2: Access Management

Module 3: System Discovery

Module 4: Deploy and Update Resources

Module 5: Automate Resource Deployment

Module 6: Manage Resources

Module 7: Configure Highly Available Systems

Module 8: Automate Scaling

Module 9: Monitor and Maintain System Health

Module 10: Data Security and System Auditing

Module 11: Operate Secure and Resilient Networks

Module 12: Mountable Storage

Module 13: Object Storage

Module 14: Cost Reporting, Alerts, and Optimization

By the end of the course, you should be able to:

• Identify the AWS services that support the different phases of Operational Excellence, an AWS Well-Architected Framework pillar.
• Manage access to AWS resources using AWS accounts and organisations and AWS Identity and Access Management (IAM).
• Maintain an inventory of in-use AWS resources by using AWS services, such as AWS Systems Manager, AWS CloudTrail, and AWS Config.
• Develop a resource deployment strategy using metadata tags, Amazon Machine Images (AMIs), and AWS Control Tower to deploy and maintain an AWS cloud environment.
• Automate resource deployment by using AWS services, such as AWS CloudFormation and AWS Service Catalog.
• Use AWS services to manage AWS resources through CloudOps lifecycle processes, such as deployments and patches.
• Configure a highly available cloud environment that uses AWS services, such as Amazon Route 53 and Elastic Load Balancing, to route traffic for optimal latency and performance.
• Configure AWS Auto Scaling and Amazon EC2 Auto Scaling to scale out your cloud environment based on demand.
• Use Amazon CloudWatch and associated features, such as alarms, dashboards, and widgets, to monitor your cloud environment.
• Manage permissions and track activity in your cloud environment by using AWS services, such as AWS CloudTrail and AWS Config.
• Deploy your resources to an Amazon Virtual Private Cloud (Amazon VPC), establish necessary connectivity to your Amazon VPC, and protect your resources from disruptions of service.
• State the purpose, benefits, and appropriate use cases for mountable storage in your AWS Cloud environment.
• Explain the operational characteristics of object storage in the AWS Cloud, including Amazon Simple Storage Service (Amazon S3) and Amazon S3 Glacier.
• Build a comprehensive cost model to help gather, optimise, and predict your cloud costs by using services such as AWS Cost Explorer and the AWS Cost & Usage Report.

This course is intended for:

• System administrators and operators who are operating in the AWS Cloud
• Informational technology workers who want to increase their cloud operations knowledge.

We recommend that attendees of this course have the following prerequisites:

• Successfully completed AWS Technical Essentials (AWSE) course
• Background in either software development or systems administration
• Proficiency in maintaining operating systems at the command line, such as shell scripting in Linux environments or cmd/PowerShell in Windows
• Basic knowledge of networking protocols (TCP/IP, HTTP).