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

Google Antigravity serves as an agentic development environment tailored for constructing autonomous agents capable of planning, reasoning, coding, and executing tasks via Gemini 3’s multimodal capabilities.

This instructor-led live training, available in online or onsite formats, targets advanced technical professionals keen on designing, building, and deploying autonomous agents leveraging Gemini 3 and the Antigravity environment.

Upon completing this training, participants will be equipped to:

• Construct autonomous workflows that harness Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity that can analyse tasks, generate code, and interact with tools.
• Seamlessly integrate Gemini-driven agents with enterprise systems and APIs.
• Enhance agent behaviour, safety, and reliability in complex operational environments.

Format of the Course

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

Course Customization Options

• Should your team require domain-specific agent behaviours or custom integrations, please reach out to us to tailor the program.

Google Antigravity serves as a sophisticated framework for experimenting with persistent agents and emergent interactive behaviors.

This instructor-led training session, available online or onsite, is designed for advanced professionals aiming to design, analyze, and optimize agents that can retain memories, enhance performance through feedback, and evolve over extended operational periods.

By the end of this course, participants will acquire the skills to:

• Design memory structures for agent persistence.
• Implement effective feedback loops to influence agent behavior.
• Evaluate learning trajectories and address model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Course Format

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

Customization Options

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

Antigravity serves as a specialized development platform engineered for creating AI-driven, agent-centric applications.

This instructor-led, live training, available both online and on-site, targets intermediate-level developers aiming to develop practical applications using autonomous AI agents within the Antigravity ecosystem.

Upon completion of this training, participants will be capable of:

• Developing applications that leverage autonomous and coordinated AI agents.
• Utilizing the Antigravity IDE, editor, terminal, and browser for complete end-to-end development.
• Orchestrating multi-agent workflows via the Agent Manager.
• Embedding agent functionalities into robust, production-grade software systems.

Course Format

• A blend of presentations with in-depth technical demonstrations.
• Ample hands-on practice coupled with guided exercises.
• Real-world implementation tasks within the live Antigravity environment.

Customization Options for the Course

• For content tailored to align with your specific development stack, please reach out to us to organize a customized version of this training.

Google Antigravity serves as a platform for developing agents capable of interacting with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who wish to build, automate, and test browser-based workflows using Google Antigravity.

Upon completion of the training, participants will be able to:

• Create agents that interact with web applications in a browser surface.
• Automate end-to-end workflows across browser contexts.
• Validate and troubleshoot agent behavior in UI-driven environments.
• Implement cross-surface automation strategies using Antigravity.

Format of the Course

• Guided instruction supported by demonstrations.
• Practical, hands-on activities and scenario-based exercises.
• Implementation of agent workflows in an interactive lab environment.

Course Customization Options

• For customized training requirements, please contact us to tailor the course to your objectives.

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 session, available either online or on-site, targets intermediate-level professionals seeking to design, manage, and optimize multi-agent workflows within the Google Antigravity environment.

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

• Configuring agent responsibilities and orchestration pipelines via the Manager interface.
• Generating and interpreting Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Implementing verification strategies to maintain transparency and auditability of agent actions.
• Optimizing multi-agent collaboration for complex development and operational tasks.

Course Format

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

Course Customization Options

• For a customized version of this course, please reach out to us to discuss specific requirements.

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.