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

Google Antigravity serves as an agentic development environment, purpose-built for creating autonomous agents that leverage the multimodal capabilities of Gemini 3 to plan, reason, code, and take action.

Delivered by expert instructors, this live training—available either online or on-site—is tailored for advanced technical professionals seeking to design, build, and deploy autonomous agents using Gemini 3 within the Antigravity ecosystem.

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

• Construct autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity capable of analyzing tasks, writing code, and interacting with external tools.
• Integrate Gemini-driven agents seamlessly with enterprise systems and APIs.
• Optimize agent behavior, ensuring safety and reliability in complex operational environments.

Course Format

• Expert-led demonstrations paired with interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation utilizing Antigravity, Gemini 3, and complementary cloud tools.

Course Customization

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

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

This live, instructor-led training—available both online and on-site—is tailored for advanced-level professionals looking to design, analyse, and optimise agents that can retain memories, learn from feedback, and evolve across extended operational periods.

By the end of this course, participants will be equipped with the skills to:

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

Course Format

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

Customisation Options

• If your organisation requires specific content or case-study examples, please contact us to tailor this training to your needs.

Antigravity serves as a robust development platform specifically engineered for the creation of AI-powered, agent-centric applications.

Delivered by an instructor, this live training (available online or onsite) targets intermediate-level developers seeking to engineer practical, real-world solutions by leveraging autonomous AI agents within the Antigravity ecosystem.

Upon successful completion, participants will be fully capable of:

• Engineering applications that depend on autonomous and orchestrated AI agents.
• Utilising the Antigravity IDE, editor, terminal, and browser for comprehensive end-to-end development.
• Overseeing multi-agent workflows via the Agent Manager.
• Embedding agent capabilities into production-quality software systems.

Delivery Method

• A blend of theoretical presentations and detailed demonstrations.
• Substantial hands-on practice alongside guided practical exercises.
• Practical implementation work conducted directly within the live Antigravity environment.

Customisation Options

• For content tailored to your specific development stack, please reach out to arrange a personalised version of this training.

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

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

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

• Develop agents capable of interacting with web applications within a browser surface.
• Automate end-to-end workflows across various browser contexts.
• Validate and troubleshoot agent behavior within UI-driven environments.
• Implement cross-surface automation strategies leveraging Antigravity.

Course Format

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

Customization Options

• Please contact us to tailor the course to your specific training requirements and objectives.

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

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

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

• Define agent responsibilities and structure orchestration pipelines using the Manager interface.
• Create and analyze Antigravity artifacts, such as task lists, strategic plans, logs, and browser session recordings.
• Apply verification methods that ensure agent actions remain transparent and fully auditable.
• Enhance multi-agent collaboration to address complex development and operational challenges.

Course Structure

• Guided presentations paired with practical demonstrations.
• Scenario-based exercises addressing real-world workflow complexities.
• Live, hands-on experimentation within an active Antigravity workspace.

Customization Possibilities

• For organizations requiring a tailored curriculum, please reach out to discuss specific customization options.

Antigravity serves as a framework for sophisticated, agent-centric development processes.

This live, instructor-led session, available either online or on-site, is designed for intermediate to advanced professionals seeking to validate, verify, and secure the outputs generated by AI agents within Antigravity-based environments.

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

• Evaluate the precision and safety of code artifacts produced by agents.
• Employ structured methodologies to validate tasks executed by agents.
• Analyze browser recordings and trace agent activities effectively.
• Implement QA and security principles to guarantee the reliability of agent workflows.

Course Format

• Instructor-led technical briefings and interactive discussions.
• Practical exercises centered on validating actual agent workflows.
• Hands-on testing and verification within a controlled laboratory setting.

Course Customization Options

• Scenario, workflow, and testing example adaptations can be arranged upon request.