Getting Started with Antigravity: An Introduction to Agent-First IDEs Training Course

Google Antigravity is an agentic development environment designed to build autonomous agents capable of planning, reasoning, coding, and acting through Gemini 3’s multimodal capabilities.

This instructor-led, live training (online or onsite) is aimed at advanced-level technical professionals who wish to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

Upon finishing this training, participants will be prepared to:

• Build autonomous workflows that use Gemini 3 for reasoning, planning, and execution.
• Develop agents in Antigravity that can analyze tasks, write code, and interact with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimize agent behavior, safety, and reliability in complex environments.

Format of the Course

• Expert demonstrations combined with interactive discussions.
• Hands-on experimentation with autonomous agent development.
• Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.

Course Customization Options

• If your team requires domain-specific agent behaviors or custom integrations, please contact us to tailor the program.

Google Antigravity is a sophisticated framework designed for experimenting with long-lived agents and emergent interactive behaviours.

This instructor-led, live training (available online or onsite) is tailored for advanced-level professionals seeking to design, analyse, and optimise agents capable of retaining memories, improving through feedback, and evolving over extended operational horizons.

Upon completing this course, participants will gain the skills to:

• Design long-term memory structures for agent persistence.
• Implement effective feedback loops to shape agent behaviour.
• Evaluate learning trajectories and model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Format of the Course

• Expert-led discussion paired with technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts to simulated agent environments.

Course Customization Options

• If your organization requires tailored content or case-specific examples, please contact us to customize this training.

Antigravity is a development platform designed to build AI-driven, agent-first applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to create real-world applications using autonomous AI agents within the Antigravity environment.

After completing this training, participants will be equipped to:

• Develop applications that rely on autonomous and coordinated AI agents.
• Use the Antigravity IDE, editor, terminal, and browser for end-to-end development.
• Manage multi-agent workflows with the Agent Manager.
• Integrate agent capabilities into production-grade software systems.

Format of the Course

• Blended presentations with in-depth demonstrations.
• Extensive hands-on practice and guided exercises.
• Real implementation work inside the Antigravity live environment.

Course Customization Options

• For tailored content aligned with your development stack, please contact us to arrange a customized version of this training.

Google Antigravity serves as a robust platform for developing agents that can engage with web applications, browser environments, and complex multi-surface workflows.

This instructor-led, live training—available both online and on-site—is specifically designed for intermediate-level professionals looking to build, automate, and test browser-based workflows using Google Antigravity.

By the end of the training, participants will be equipped to:

• Develop agents that interact effectively with web applications within the browser surface.
• Automate end-to-end workflows across various browser contexts.
• Validate and troubleshoot agent behaviour in UI-driven environments.
• Implement cross-surface automation strategies leveraging Antigravity.

Course Format

• Guided instruction complemented by live demonstrations.
• Practical, hands-on activities alongside scenario-based exercises.
• Implementation of agent workflows within an interactive lab environment.

Course Customisation Options

• Please contact us to tailor the course to your specific objectives if you require customised training.

Google Antigravity serves as an agent-centric development platform designed to orchestrate, supervise, and coordinate AI-driven coding and automation workflows.

This instructor-led training, available either online or onsite, is tailored for intermediate-level professionals seeking to design, manage, and optimise multi-agent workflows within the Google Antigravity environment.

Upon completing this training, participants will acquire the following skills:

• Configure agent responsibilities and orchestration pipelines using the Manager interface.
• Generate and interpret Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure that agent actions remain transparent and auditable.
• Optimise multi-agent collaboration for complex development and operational tasks.

Course Format

• Guided presentations coupled with practical demonstrations.
• Scenario-based exercises focusing on real-world workflow challenges.
• Hands-on experimentation within a live Antigravity workspace.

Course Customisation Options

• If you require a bespoke version of this course, please contact us to discuss customisation options.

Antigravity is a framework that represents advanced agent-driven development workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced professionals who wish to verify, validate, and secure the output produced by AI agents working within Antigravity-driven environments.

Upon completing this training, participants will be able to:

• Assess the accuracy and safety of agent-generated code artifacts.
• Use structured techniques to verify agent-executed tasks.
• Analyze browser recordings and trace agent activity effectively.
• Apply QA and security principles to ensure the reliability of agent workflows.

Format of the Course

• Instructor-guided technical briefings and discussions.
• Practical exercises focused on verifying real agent workflows.
• Hands-on testing and validation within a controlled lab environment.

Course Customization Options

• Adaptation of scenarios, workflows, and testing examples is available upon request.