Role-Based Programme
RB0905
Gemini Code Assist for Product & Service Management
From Product Requirements to Development-Ready Solutions
IMAGE REQUIRED
Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training
Programme Objectives
- Develop functional proficiency in using Gemini Code Assist to translate product requirements into clearer technical specifications and development tasks.
- Analyse existing applications and codebases to better understand product behaviour, dependencies, technical constraints, and implementation impact.
- Build reusable AI-assisted workflows for requirements, feature planning, prototyping, testing, defect analysis, and release preparation.
- Improve collaboration between product, engineering, architecture, QA, and operations teams using shared technical context.
- Apply appropriate security, validation, governance, and human approval to AI-assisted product-development workflows.
Tools covered
Gemini Code Assist Standard & EnterpriseIDE ChatCode GenerationCode CompletionCode TransformationLocal Codebase AwarenessAgent ModeMulti-File EditingMCP IntegrationCode Customization
Who should attend
- Technical Product Managers
- Product Managers
- Product Owners
- Digital Product Managers
- Platform Product Managers
- AI Product Managers
- Service Managers
- Product Operations Professionals
- Technical Business Analysts
- Business Analysts
- Product Engineering Leads
- Product & Technology Team Leads
Prerequisites & Participant Readiness
- Basic understanding of product or service-management activities
- Familiarity with requirements, user stories, acceptance criteria, or software-development workflows
- Basic awareness of applications, APIs, cloud platforms, or software architecture
- Basic programming knowledge is beneficial but not mandatory
- Familiarity with Agile or product-development practices is helpful
- No previous Gemini Code Assist experience required
TOC Modules
Concepts
- Understanding Gemini Code Assist across the software-development lifecycle
- Understanding IDE Chat, code generation, transformation, completion, and agentic assistance
- Identifying relevant use cases for technical product and service-management teams
- Understanding where AI assistance complements product and engineering judgement
Practical activities
- Exploring a sample digital-product requirement using Gemini Code Assist
Scenarios
Customer Requirement to Development-Ready Feature
Customer Need → Product Requirement → Gemini Code Assist → Codebase Analysis → Technical Plan → Acceptance Criteria → Prototype → Testing → Engineering Handoff
Participants convert a customer-driven requirement into a structured development-ready feature, using Gemini Code Assist to analyse technical context, define implementation steps, support prototyping, and validate acceptance criteria.
Existing Product Enhancement & Release Readiness
Enhancement Request → Existing Codebase → Impact Analysis → Agent Plan → Multi-File Changes → Testing → Risk Review → Release Brief
Participants analyse an existing application enhancement, assess dependencies and product impact, review AI-assisted implementation changes, and prepare a structured release-readiness recommendation.
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