Tool or Technology
TT0171

Amazon Q Developer in Action

Build, Review & Modernize AWS Applications with AI

Amazon Q Developer
Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop functional proficiency in using Amazon Q Developer for code generation, explanation, refactoring, debugging, testing, and application maintenance.
  • Apply structured prompting, workspace context, project rules, and Memory Bank capabilities to improve AI-assisted development quality.
  • Use agentic development capabilities to execute controlled multi-step software-engineering tasks.
  • Apply Amazon Q Developer code review and AWS troubleshooting capabilities to improve application quality and operational reliability.
  • Integrate approved MCP tools and apply appropriate permissions, security, testing, and human-review practices.
  • Understand Amazon Q Developer modernization capabilities and prepare existing IDE workflows for future migration.

Technology covered

Amazon Q DeveloperAmazon Q Developer IDE PluginsAmazon Q ChatInline Code SuggestionsAgentic CodingWorkspace ContextProject RulesMemory BankCode ReviewMCP ServersAWS Management Console IntegrationCode Transformation

Who should attend

  • Software Developers
  • Software Engineers
  • AWS Application Developers
  • Cloud Developers
  • Backend Developers
  • Full-Stack Developers
  • Java & .NET Developers
  • DevOps & Platform Engineers
  • QA & Test Automation Engineers
  • Cloud Support Engineers
  • Technical Leads
  • Solution Architects

Prerequisites & Participant Readiness

  • Working knowledge of at least one programming language
  • Familiarity with application code, libraries, APIs, and dependencies
  • Basic experience with Git and repository-based development
  • Familiarity with a supported IDE is recommended
  • Basic knowledge of debugging and software-testing practices
  • Familiarity with AWS services and cloud concepts is beneficial
  • Basic understanding of APIs and MCP concepts is helpful
  • Appropriate organisational Amazon Q Developer access should be available
  • Completion of shorter Amazon Q Developer programmes is not required

TOC Modules

Concepts
  • Understanding Amazon Q Developer within modern software-development workflows
  • Understanding chat, inline coding assistance, agentic development, context, and review capabilities
  • Understanding Amazon Q Developer within IDE and AWS environments
  • Differentiating code assistance from autonomous multi-step development
  • Understanding developer responsibility for AI-generated code
Practical activities
  • Navigating Amazon Q Developer within a supported development environment
  • Asking Amazon Q to explain an existing source-code file
  • Generating a small code modification from a defined requirement
  • Comparing manual and AI-assisted development approaches

Scenarios

AWS Application Requirement to Verified Feature

Business Requirement → Workspace Context → Memory Bank → Structured Prompt → Agentic Development → Code Generation → Automated Tests → Amazon Q Code Review → AWS Validation → Human Approval

Participants use Amazon Q Developer to understand an existing AWS-connected application, implement functionality, validate generated code, and review the associated AWS environment before integration.

Legacy Application to Modernized AWS Workload

Legacy Application → Modernization Assessment → Code Transformation → Dependency Upgrade → Build & Testing → Code Review → AWS Validation → Migration Planning

Participants assess and modernize an existing application using AI-assisted development while validating dependencies, compatibility, security, and future platform requirements.

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