Tool or Technology
TT0159
Google Antigravity in Action
Orchestrate AI Agents & Build Software Smarter
Antigravity
Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training
Programme Objectives
- Develop functional proficiency in using Google Antigravity to plan, execute, review, and manage complex AI-assisted software-development tasks.
- Use agent-driven workflows for repository understanding, feature development, debugging, testing, research, browser interaction, and implementation verification.
- Orchestrate multiple specialized agents and subagents while maintaining controlled project context, permissions, tools, and isolated Git workspaces.
- Build reusable agent capabilities using Custom Agents, Skills, Rules, Workflows, MCP integrations, and execution hooks.
- Apply human review, artifact-based verification, permissions, security controls, testing, and governance practices to reliable agentic-development workflows.
Technology covered
Google Antigravity 2.0Antigravity CLIAntigravity IDE ExtensionsAI AgentsProjectsTasksArtifactsImplementation PlansTerminal ToolsBrowser ToolsGit WorktreesSubagentsCustom AgentsSkillsMCP ServersRules & WorkflowsHooksScheduled Tasks
Who should attend
- Software Developers
- Software Engineers
- Frontend Developers
- Backend Developers
- Full-Stack Developers
- DevOps & Platform Engineers
- QA & Test Automation Engineers
- Application Support Engineers
- AI Application Developers
- Technical Leads
- Solution Architects
- Engineering & Digital Transformation Teams
Prerequisites & Participant Readiness
- Working knowledge of at least one programming language
- Familiarity with source-code repositories and application-development concepts
- Basic knowledge of Git and version-control workflows
- Familiarity with command-line or terminal usage is recommended
- Basic understanding of debugging and software-testing practices
- Familiarity with Generative AI and prompting is beneficial
- Basic understanding of APIs and developer tools is helpful for MCP activities
- Appropriate Google Antigravity access and an approved development repository should be available for hands-on exercises
- No completion of shorter Antigravity programmes is required
TOC Modules
Concepts
- Understanding Google Antigravity as an agent-first development and knowledge-work platform
- Understanding Antigravity 2.0, CLI, IDE, and IDE Extension surfaces
- Understanding AI agents, tools, tasks, artifacts, knowledge, and reasoning
- Understanding synchronous versus asynchronous agent execution
- Differentiating conversational coding from autonomous agent-driven execution
Practical activities
- Navigating the Antigravity 2.0 environment
- Starting an Agent conversation for a development requirement
- Asking an Agent to inspect and explain an existing project
- Comparing manual, conversational, and agent-driven development approaches
Scenarios
Product Requirement to Verified Software Feature
Product Requirement → Project Context → Implementation Plan → Main Agent → Development Subagent → Test Subagent → Git Worktrees → Browser Verification → Code Diff → Human Review → Integration
Participants use Antigravity to turn a realistic product requirement into a tested feature while coordinating planning, parallel development, automated verification, and human approval.
Production Defect to Multi-Agent Resolution
Production Issue → Logs & Repository Analysis → Root-Cause Agent → Implementation Agent → Test Agent → Terminal Validation → Browser Verification → Artifact Review → Approved Resolution
Participants coordinate multiple specialized Agents to investigate a software issue, identify its root cause, implement a controlled correction, verify the fix, and prepare the change for safe integration.
Related programmes
Continue with programmes from the same capability area.
- ChatGPT Unlocked: Discover the Power of Generative AI
- ChatGPT Professional: Prompting, Research, Analysis & AI-Powered Workflows
- Mastering ChatGPT: Advanced AI Workflows, Plugins & Automation
- Google Gemini Unlocked: Discover the Power of Generative AI
- Google Gemini Foundations: Prompt, Create & Work Smarter
- Gemini in Action: Research, Create & Build Intelligent Workflows
- Mastering Google Gemini: Advanced Generative AI & Intelligent Workflows
- Claude Unlocked: Think, Create & Work Smarter with AI
Take the next step
Ready to make this programme work for your team?
Customise modules, duration and business scenarios for your team.
Instructor-ledVirtualHybrid
Designed around your roles, tools and real workflows.

