Google Antigravity for Product & Service Management
From Requirements to AI-Built Product Prototypes
Programme Objectives
- Build foundational capability in using Google Antigravity to translate product requirements into working application concepts and prototypes.
- Configure structured agent tasks for product research, feature planning, implementation, and validation.
- Apply browser-based testing and artifact review to validate product requirements and user experiences.
- Use parallel agents to accelerate research, development, documentation, and product-analysis activities.
- Apply human review, permissions, quality checks, and product judgement throughout agentic development workflows.
Tools covered
Who should attend
- Technical Product Managers
- Product Managers
- Product Owners
- Digital Product Managers
- AI Product Managers
- Platform Product Managers
- Service Managers
- Product Operations Professionals
- Business Analysts
- Technical Business Analysts
- Product & Engineering Leads
- Innovation Managers
Prerequisites & Participant Readiness
- Basic understanding of product or service-management activities
- Familiarity with requirements, user stories, or digital-product workflows
- Basic awareness of web applications and software-development concepts is helpful
- Coding knowledge is beneficial but not mandatory
- No previous Google Antigravity experience required
TOC Modules
- Understanding Antigravity as an agent-first development platform
- Understanding agents, workspaces, projects, browser interaction, and artifacts
- Identifying product use cases across research, prototyping, feature development, and testing
- Understanding human oversight within autonomous agent workflows
- Exploring Antigravity using a sample product requirement
- Creating a project and assigning an initial product task
Scenarios
Product Requirement to Validated Prototype
Participants transform a product requirement into a working prototype and use browser-based validation and iterative feedback to assess whether it satisfies defined user and business needs.
Multi-Agent Product Discovery & Delivery
Participants coordinate multiple agents to research an opportunity, implement a solution concept, test the experience, and consolidate evidence into a product-management recommendation.
*Google Antigravity currently supports agentic work across files, system commands, web research and Chrome; Antigravity IDE adds editor, terminal and browser operation, while Antigravity 2.0 supports Projects, parallel agents/subagents and structured Artifacts.*
Related programmes
Continue with programmes from the same capability area.
- ChatGPT for Human Resources: AI Skills for Smarter Everyday HR
- ChatGPT for Human Resources: Practical AI for Smarter HR Workflows
- ChatGPT for Human Resources: Research, Analyse & Build Smarter HR Workflows
- ChatGPT for Human Resources: Advanced AI Workflows, Automation & HR Intelligence
- ChatGPT for Sales & Business Development: Practical AI Skills for Modern Sales Teams
- ChatGPT for Sales & Business Development: Research, Engage & Build Smarter Sales Workflows
- ChatGPT for Sales & Business Development: Advanced AI Workflows, Account Intelligence & Sales Automation
- ChatGPT for Marketing: AI Skills for Modern Marketing Teams
Take the next step
Ready to make this programme work for your team?
Customise modules, duration and business scenarios for your team.
Designed around your roles, tools and real workflows.

