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 an advanced framework designed for experimenting with long-lived agents and emergent interactive behaviors.

This instructor-led, live training (available online or on-site) targets advanced-level professionals who aim to design, analyse, and optimise agents capable of retaining memories, improving through feedback, and evolving over extended operational periods.

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

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

Course Format

• Expert-led discussions complemented by technical demonstrations.
• Hands-on exploration through structured design challenges.
• Practical application of concepts within simulated agent environments.

Course Customisation Options

• If your organisation requires tailored content or case-specific examples, please contact us to customise 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 interact seamlessly with web applications, browser environments, and complex multi-surface workflows.

Designed for intermediate-level professionals, this instructor-led live training—available either online or on-site—equips you with the skills to build, automate, and test browser-based workflows using Google Antigravity.

By the end of this program, participants will be equipped to:

• Develop agents that engage with web applications within a browser surface.
• Streamline end-to-end workflows across various browser contexts.
• Effectively validate and troubleshoot agent behavior in UI-driven environments.
• Execute cross-surface automation strategies leveraging Antigravity.

Course Delivery Format

• Guided instruction complemented by live demonstrations.
• Hands-on practical activities and scenario-based exercises.
• Implementation of agent workflows within an interactive lab environment.

Customization Opportunities

• Contact us to tailor the course content to your specific training objectives and requirements.

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to design, manage, and optimise multi-agent workflows within Google Antigravity.

Upon completion of this training, participants will gain the skills to:

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

Format of the Course

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

Course Customisation Options

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

Antigravity serves as a sophisticated framework designed to manage advanced agent-driven development processes.

This live, instructor-led training session, available either online or on-site, is specifically tailored for intermediate to advanced professionals seeking to rigorously verify, validate, and secure the code outputs generated by AI agents operating in Antigravity environments.

By the end of this program, participants will be equipped to:

• Evaluate the precision and security integrity of code artifacts produced by agents.
• Utilize systematic methods to confirm the correct execution of agent-assigned tasks.
• Efficiently analyze browser session recordings and trace the activity history of agents.
• Implement quality assurance and security protocols to guarantee the stability of agent workflows.

Course Delivery Format

• Technical briefings and interactive discussions guided by the instructor.
• Practical exercises dedicated to the verification of live agent workflows.
• Direct testing and validation activities conducted within a controlled laboratory setting.

Customization Opportunities

• Scenarios, workflow structures, and testing examples can be tailored to specific requirements upon request.