Role-Based Programme
RB0906

Amazon Q Developer for Information Technology

Explore AI-Assisted AWS Operations, Development & Troubleshooting

IMAGE REQUIRED
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how Amazon Q Developer supports IT teams across AWS operations, application development, troubleshooting, and technical guidance.
  • Explore AI-assisted workflows for understanding applications, AWS resources, errors, documentation, and technical issues.
  • Recognise how Amazon Q Developer can support testing, code quality, security reviews, and operational efficiency.
  • Experience practical use of natural-language interaction for common IT and AWS activities.
  • Identify appropriate security, validation, access-control, and human-review practices when using AI-assisted technical guidance.

Tools covered

Amazon Q DeveloperAWS Management ConsoleAWS Resource GuidanceCodebase AssistanceAutomated DocumentationTest GenerationCode ReviewSecurity ScanningAWS TroubleshootingCost Insights

Who should attend

  • IT Managers
  • IT Operations Professionals
  • System Administrators
  • Cloud Engineers
  • Application Support Professionals
  • Technical Support Engineers
  • Infrastructure Engineers
  • DevOps Professionals
  • Software Developers
  • IT Analysts
  • Solution Architects
  • Technical Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of IT systems, applications, or cloud environments
  • General familiarity with AWS services is helpful
  • Basic awareness of software-development or troubleshooting processes is beneficial
  • No advanced programming knowledge required
  • No previous Amazon Q Developer experience required

TOC Modules

Concepts
  • Understanding Amazon Q Developer as a generative AI assistant for AWS and software development
  • Exploring its role across Build → Operate → Troubleshoot → Optimise workflows
  • Identifying IT use cases across cloud operations, application support, development, and infrastructure
  • Understanding AI assistance versus technical accountability
Practical activities
  • Exploring Amazon Q Developer through a guided IT scenario
  • Asking natural-language questions about AWS services and technical concepts
  • Mapping common IT activities to suitable Amazon Q capabilities

Scenarios

AWS Operational Issue to Resolution

AWS Error → Amazon Q Diagnosis → Likely Cause → Recommended Actions → Technical Validation → Resolution → Verification

Participants use Amazon Q Developer to investigate an AWS operational issue, review recommended remediation steps, and create a validated resolution workflow.

Application Support to Technical Knowledge

Application Issue → Codebase Analysis → Component Explanation → Troubleshooting → Resolution → Support Documentation

Participants use Amazon Q Developer to understand an unfamiliar application component, investigate a support problem, and convert validated technical findings into reusable support documentation.

**Current Capability Reference:** Amazon Q Developer currently supports AWS architecture and resource guidance, error diagnosis, code explanation, automated documentation, test generation, code review, security scanning, and cloud-cost analysis.

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