Role-Based Programme
RB0918

Amazon Q Developer for Product & Service Management

Accelerate Product Delivery, Technical Decisions & Service Improvement

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

Programme Objectives

  • Develop functional proficiency in using Amazon Q Developer to support software-product discovery, technical analysis, delivery, and service-management activities.
  • Translate product requirements and customer needs into clearer technical tasks, implementation considerations, acceptance criteria, and development workflows.
  • Use Amazon Q Developer to understand existing applications, generate documentation, review implementation approaches, and support feature validation.
  • Apply AWS resource, cost, troubleshooting, and architectural insights to improve product and service decisions.
  • Build reusable AI-assisted workflows connecting Product Need → Technical Analysis → Development → Validation → Release → Service Improvement.

Tools covered

Amazon Q DeveloperAWS Management ConsoleAWS Resource & Architecture GuidanceCodebase ChatAgentic DevelopmentCode DocumentationTest GenerationCode ReviewConsole-to-CodeAWS Cost InsightsTroubleshooting & Operational GuidanceApplication Transformation

Who should attend

  • Product Managers
  • Technical Product Managers
  • Product Owners
  • Service Managers
  • Digital Product Managers
  • Platform Product Managers
  • Product Operations Professionals
  • Business Analysts
  • Product Analysts
  • Implementation Managers
  • Service Delivery Managers
  • Product & Engineering Leads

Prerequisites & Participant Readiness

  • Basic understanding of product or service management
  • Familiarity with software-development and product-delivery lifecycles
  • Basic understanding of applications, APIs, cloud services, or software architecture is helpful
  • Familiarity with requirements, user stories, acceptance criteria, and release processes is beneficial
  • No advanced programming expertise required
  • No previous Amazon Q Developer experience required

TOC Modules

Concepts
  • Understanding Amazon Q Developer across software development and AWS operations
  • Understanding the Product Need → Build → Test → Review → Deploy → Operate lifecycle
  • Identifying suitable product-management and service-management use cases
  • Understanding the difference between AI assistance, engineering execution, and product accountability
Practical activities
  • Exploring Amazon Q Developer through product-focused examples
  • Asking questions about an application, AWS architecture, and development approach
  • Mapping a sample product requirement to Amazon Q Developer capabilities

Scenarios

Product Requirement to Release-Ready Feature

Customer Need → Product Requirement → Amazon Q Technical Analysis → Implementation Plan → Development → Tests → Code Review → Acceptance Validation → Release Recommendation

Participants take a realistic software-product requirement through an AI-assisted delivery workflow, using Amazon Q Developer to improve technical understanding, implementation collaboration, test coverage, documentation, and release-readiness assessment.

Service Issue to Product Improvement Decision

Customer / Service Issue → AWS Resource Investigation → Troubleshooting → Root-Cause Hypothesis → Business Impact → Remediation → Product Improvement → Management Brief

Participants use Amazon Q Developer to investigate an operational service issue, connect technical findings with customer impact, and convert validated findings into product and service-improvement recommendations.

## Current Capability Reference

Amazon Q Developer currently supports activities across the software-development lifecycle including feature implementation, documentation, testing, code review, refactoring, AWS architecture guidance, resource management, cost analysis, and troubleshooting.

**Lifecycle Note:** AWS states that Amazon Q Developer IDE plugins are scheduled to reach end of support on **April 30, 2027**, with AWS directing users toward Kiro for similar IDE-based agentic development capabilities. The curriculum should therefore emphasise transferable Amazon Q/AWS workflows rather than depend heavily on a specific IDE plugin interface.

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