Role-Based Programme
RB0879

Google Antigravity for Product & Service Management

Advanced Agentic Product Discovery, Prototyping & Delivery

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced proficiency in using Google Antigravity to move from product ideas and customer problems to researched, prototyped, tested, and delivery-ready solutions.
  • Apply agentic workflows to product discovery, requirements analysis, competitive research, feature planning, prototyping, validation, and release preparation.
  • Orchestrate multiple specialised agents and reusable Custom Agents to accelerate complex product-management workflows.
  • Use browser interaction, implementation artifacts, testing, version-control visibility, and engineering context to strengthen Product–Engineering collaboration.
  • Establish responsible product governance for autonomous agents, permissions, generated changes, customer information, validation, and human approval.

Tools covered

Google Antigravity 2.0AI AgentsSubagentsCustom AgentsAgent SkillsArtifactsBrowser / Chrome InteractionWeb ResearchFile & Workspace OperationsIntegrated TerminalGit VCS PanelMCP IntegrationsScheduled TasksRemote ControlAntigravity CLI

Who should attend

  • Product Managers
  • Senior Product Managers
  • Product Owners
  • Technical Product Managers
  • Digital Product Managers
  • Service Managers
  • Platform Product Managers
  • Product Operations Professionals
  • Product Strategy Professionals
  • Product Innovation Leaders
  • Business Product Owners
  • Solution Product Managers
  • Product & Service Portfolio Managers
  • Product Team Leads
  • AI Product Managers
  • Digital Transformation Professionals

Prerequisites & Participant Readiness

  • Good understanding of product or service-management principles
  • Familiarity with product discovery, requirements, user stories, roadmaps, and release processes
  • Basic awareness of software-development and application architecture concepts
  • Familiarity with Agile or iterative product-delivery practices is helpful
  • Basic understanding of APIs, integrations, and Git terminology is recommended
  • No advanced programming expertise required
  • Prior experience working with software-engineering teams is recommended

TOC Modules

Concepts
  • Understanding Antigravity 2.0 as a command centre for autonomous and collaborative AI agents
  • Mapping Discover → Define → Prototype → Validate → Build → Release → Improve
  • Understanding synchronous, asynchronous, and multi-agent workflows from a product perspective
  • Differentiating Product accountability from autonomous agent execution
Practical activities
  • Exploring Antigravity 2.0 through a sample digital-product initiative
  • Assigning an initial product research and analysis task to an agent
  • Reviewing generated plans and artifacts before further execution

Scenarios

New Digital Product – Idea to Validated MVP

Customer Problem → Multi-Agent Research → Opportunity Assessment → Requirements → Implementation Plan → Antigravity Prototype → Browser Validation → Test Results → User Feedback → MVP Decision

Participants use Google Antigravity to move a new digital-product concept through discovery, requirements definition, prototype creation, validation, and product-review stages while maintaining Product and Engineering approval gates.

Existing Product Enhancement – Request to Controlled Release

Customer Feedback → Existing Product Analysis → Impact Assessment → Parallel Agent Workstreams → Feature Implementation → Automated Verification → VCS Review → Release Readiness → Post-Release Improvement

Participants use multiple Antigravity agents and reusable product workflows to analyse and implement an enhancement to an existing product, then review agent-generated changes, validation evidence, risks, and user impact before a human-controlled release decision.

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