Role-Based Programme
RB0903

Gemini Code Assist for Product & Service Management

Understand Technical Feasibility, Features & Delivery with AI

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

Programme Objectives

  • Understand how Gemini Code Assist can help product and service managers collaborate more effectively with software-engineering teams.
  • Explore AI-assisted techniques for understanding application functionality, technical components, dependencies, and implementation considerations.
  • Use Gemini Code Assist to support feature clarification, technical-feasibility discussions, acceptance criteria, and delivery planning.
  • Experience practical workflows for translating business requirements into developer-ready technical conversations.
  • Recognise where engineering, architecture, security, testing, and product decisions must remain human-led.

Tools covered

Gemini Code Assist Standard / EnterpriseIDE ChatCode ExplanationCode GenerationCode CompletionsProject ContextSmart ActionsCode TransformationAgent Mode

Who should attend

  • Product Managers
  • Product Owners
  • Service Managers
  • Digital Product Managers
  • Technical Product Managers
  • Platform Product Managers
  • Product Operations Professionals
  • Product Analysts
  • Business Product Owners
  • Solution Product Managers
  • Product & Service Portfolio Managers
  • Product Innovation Professionals

Prerequisites & Participant Readiness

  • Basic understanding of product or service-management activities
  • Familiarity with product requirements, user stories, acceptance criteria, or software-delivery processes is helpful
  • Basic awareness of software-development terminology is recommended
  • No advanced programming expertise required
  • No AI or machine-learning knowledge required
  • No previous Gemini Code Assist experience required

TOC Modules

Concepts
  • Understanding Gemini Code Assist as an AI-powered development assistant within supported IDEs
  • Understanding capabilities such as chat, code explanation, code generation, completions, and transformations
  • Identifying how product teams can use technical AI assistance without becoming software developers
  • Understanding the Product Requirement → Engineering → Validation → Release relationship
Practical activities
  • Exploring Gemini Code Assist using a sample application
  • Asking questions about what selected application code or functionality does
  • Translating a technical explanation into product-friendly language

Scenarios

New Product Feature Feasibility Review

Customer Need → Feature Requirement → Gemini Code Assist → Existing Code Understanding → Dependencies → Technical Questions → Acceptance Criteria → Engineering Review

Participants use Gemini Code Assist to understand how a proposed feature relates to an existing application, identify dependencies and technical questions, and prepare a clearer feature brief for engineering discussion.

Product Change to Delivery Readiness

Change Request → Application Context → AI-Assisted Analysis → Impacted Components → Edge Cases → Validation Requirements → Product / Engineering Review

Participants analyse a product change using Gemini Code Assist, translate technical information into product implications, and create a structured readiness brief while keeping implementation estimates and technical approval with responsible engineering teams.

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