Tool or Technology
TT0172

Mastering Amazon Q Developer

Advanced AI-Assisted Development, Application Modernization & AWS Engineering

Amazon Q Developer
Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced expertise in using Amazon Q Developer for code generation, codebase understanding, debugging, refactoring, testing, documentation, security analysis, and development assistance.
  • Apply agentic development capabilities to complex multi-file engineering activities while maintaining developer control over generated commands and code changes.
  • Perform AI-assisted code quality, security, dependency, infrastructure-as-code, and deployment-risk reviews.
  • Accelerate application modernization using Amazon Q Developer transformation workflows for Java and .NET applications and understand transition paths to AWS Transform.
  • Use Amazon Q Developer across AWS operations for architecture guidance, resource investigation, telemetry analysis, cost insights, troubleshooting, and infrastructure automation.
  • Establish enterprise governance using IAM Identity Center, access policies, customizations, prompt logging, security controls, human review, and migration planning.

Technology covered

Amazon Q DeveloperAmazon Q Developer IDE ExtensionsAgentic ChatInline SuggestionsInline ChatCode ReviewSecurity ScanningAmazon Q Developer CustomizationsGitHub IntegrationJava Transformation.NET TransformationAmazon Q Developer Transformation CLIAWS Management ConsoleAmazon Q Developer ChatConsole-to-CodeCloudWatch Operational IntelligenceAWS Resource & Cost AnalysisSlack / Microsoft Teams IntegrationIAM Identity CenterAmazon Q Developer Administration & Kiro / AWS Transform Migration Awareness

Who should attend

  • Software Developers & Application Engineers
  • Java Developers
  • .NET & C# Developers
  • Full-Stack Developers
  • Cloud Application Developers
  • AWS Developers
  • Software Architects
  • Solution Architects
  • Technical Leads & Engineering Leads
  • DevOps Engineers
  • Platform Engineers
  • Site Reliability Engineers
  • QA & Test Automation Engineers
  • Application Modernization Teams
  • Cloud Operations Professionals
  • Enterprise Engineering & Developer Productivity Teams

Prerequisites & Participant Readiness

  • Working knowledge of at least one programming language
  • Familiarity with Git, repositories, branches, commits, and pull requests
  • Understanding of software development, debugging, testing, and code-review practices
  • Basic familiarity with an IDE such as Visual Studio Code, JetBrains, Eclipse, or Visual Studio
  • Basic understanding of AWS services is recommended
  • Familiarity with AWS CLI, APIs, IAM, CloudWatch, or infrastructure-as-code is beneficial
  • Java or .NET experience is recommended for application-transformation labs
  • No previous Amazon Q Developer course attendance is required
  • Hands-on IDE activities require access to an existing eligible Amazon Q Developer subscription/environment
  • Amazon Q Developer IDE plugins are scheduled to reach end of support on April 30, 2027; migration planning is therefore included in this programme

TOC Modules

Concepts
  • Understanding Amazon Q Developer as an AI assistant for building, understanding, extending, and operating AWS applications
  • Understanding IDE, GitHub, AWS Console, website, documentation, and chat-application experiences
  • Understanding AI-assisted versus agentic development workflows
  • Understanding Amazon Bedrock's role in the Amazon Q Developer service
  • Understanding current product lifecycle and transition toward Kiro
Practical activities
  • Exploring Amazon Q Developer in an approved development environment
  • Comparing traditional development with AI-assisted development
  • Mapping Requirement → Amazon Q → Implementation → Test → Review → Delivery
  • Identifying suitable enterprise use cases for Amazon Q Developer

Scenarios

Legacy Application Modernization & Secure Delivery

Legacy Java / .NET Application → Amazon Q Analysis → Transformation Plan → AI-Assisted Modernization → Build Verification → Code Review → Security & Dependency Analysis → Developer Validation → Git Integration → Migration Readiness

Participants modernize a representative legacy application while combining automated transformation, generated-code validation, security review, testing, and human engineering oversight.

AWS Operations-to-Infrastructure Automation

Operational Requirement → Amazon Q AWS Resource Analysis → CloudWatch / Configuration Investigation → Recommended Architecture → Console Actions → Console-to-Code → CloudFormation / CDK → Security Review → Repeatable AWS Deployment

Participants use Amazon Q Developer to move from AWS investigation and troubleshooting into governed, repeatable infrastructure automation while validating every generated recommendation and infrastructure change.

Related programmes

Continue with programmes from the same capability area.

Take the next step

Ready to make this programme work for your team?

Customise modules, duration and business scenarios for your team.

Instructor-ledVirtualHybrid

Designed around your roles, tools and real workflows.