Role-Based Programme
RB0907

Amazon Q Developer for Information Technology

AI-Assisted Development, Troubleshooting & Technical Productivity

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational proficiency in using Amazon Q Developer for common IT development, application-support, troubleshooting, and technical-documentation activities.
  • Use project and code context to understand applications, dependencies, configurations, and unfamiliar code more efficiently.
  • Apply Amazon Q Developer to generate, explain, improve, test, and review code while maintaining human technical validation.
  • Support IT incident investigation and AWS troubleshooting using AI-assisted analysis of errors, configurations, and technical context.
  • Build reusable AI-assisted workflows for development, testing, issue resolution, and application maintenance.

Tools covered

Amazon Q DeveloperIDE ChatInline Code SuggestionsProject & File ContextCode ExplanationCode GenerationUnit Test GenerationCode ReviewAWS Console TroubleshootingAgentic Coding

Who should attend

  • IT Managers
  • Software Developers
  • Application Developers
  • Application Support Engineers
  • IT Operations Professionals
  • Cloud Engineers
  • DevOps Engineers
  • System Engineers
  • Technical Support Engineers
  • Solution Engineers
  • Platform Engineers
  • System Administrators
  • Application Maintenance Teams
  • Technology Support Professionals

Prerequisites & Participant Readiness

  • Basic understanding of software-development or IT-support activities
  • Basic ability to read source code or scripts is recommended
  • Familiarity with an IDE such as Visual Studio Code, JetBrains, Eclipse, or Visual Studio is helpful
  • Basic awareness of AWS services is helpful for cloud troubleshooting activities
  • No AI or machine-learning expertise required
  • No previous Amazon Q Developer experience required

TOC Modules

Concepts
  • Understanding Amazon Q Developer and its role across software development, IT operations, and AWS environments
  • Exploring IDE Chat, inline suggestions, code assistance, reviews, and troubleshooting capabilities
  • Understanding where AI can accelerate IT work versus where engineering judgement remains essential
  • Understanding secure and responsible use of project and organizational information
Practical activities
  • Exploring Amazon Q Developer inside a supported IDE
  • Asking questions about a sample application
  • Generating a concise explanation of application components and functionality

Scenarios

Application Enhancement to Validated Release

Change Requirement → Project Context → Amazon Q Code Assistance → Unit Tests → Code Review → Issue Resolution → Validation → Release Preparation

Participants use Amazon Q Developer to implement a controlled application enhancement, generate supporting tests, review the changes, remediate identified issues, and prepare the work for human-approved release.

IT Application Incident Investigation

Application Error → Code / AWS Context → Amazon Q Analysis → Possible Causes → Technical Validation → Resolution → Retest → Incident Summary

Participants investigate a realistic application-support incident using Amazon Q Developer, validate the proposed cause, implement an approved correction, and document the final resolution and preventive actions.

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