Antigravity for Web Automation & Browser-Based Tasks Training Course

Google Antigravity serves as an agentic development environment engineered to create autonomous agents capable of planning, reasoning, coding, and executing tasks via the multimodal capabilities of Gemini 3.

This instructor-led live training, available online or onsite, targets advanced technical professionals eager to design, build, and deploy autonomous agents leveraging Gemini 3 and the Antigravity environment.

Upon completing this training, participants will be equipped to:

• Construct autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity that can analyze tasks, generate code, and interact with various tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Enhance agent behavior, 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.

Customization Options

• For teams requiring domain-specific agent behaviors or custom integrations, please reach out to tailor the program to your needs.

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

This instructor-led training session, available online or onsite, targets advanced professionals seeking to design, analyze, and optimize agents that can retain memories, improve via feedback, and evolve over extended operational periods.

Upon course completion, participants will acquire the ability to:

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

Course Format

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

Customization Options

• For tailored content or case-specific examples, please contact us to customize this training.

Antigravity serves as a specialized development platform designed for constructing AI-driven applications with an agent-first approach.

This instructor-led training, available either online or onsite, targets intermediate-level developers looking to build practical applications using autonomous AI agents within the Antigravity ecosystem.

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

• Develop applications that depend on coordinated and autonomous AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for complete end-to-end development workflows.
• Orchestrate multi-agent workflows using the Agent Manager.
• Integrate agent functionalities into robust, production-grade software systems.

Course Format

• A combination of presentations and detailed live demonstrations.
• Ample hands-on practice accompanied by guided exercises.
• Practical implementation work conducted directly within the live Antigravity environment.

Customization Options

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

Google Antigravity is an agent-centric development platform engineered to optimize engineering processes via intelligent automation.

This instructor-led, live training (available online or onsite) targets beginners eager to grasp the fundamentals of Antigravity and learn how agent-powered coding environments boost productivity.

After completing this training, participants will be capable of:

• Installing and setting up Google Antigravity.
• Navigating and comprehending both the Editor View and Manager View.
• Collaborating effectively with agents to automate basic development tasks.
• Leveraging Antigravity to create, refine, and oversee project files.

Course Format

• Instructor-led explanations accompanied by live demonstrations.
• Guided exercises emphasizing hands-on interaction with agents.
• Practical exploration of essential Antigravity features within a controlled lab setting.

Customization Options

• Should you need a bespoke version of this training, please reach out to us to organize a tailored program.

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

This instructor-led live training, available both online and onsite, targets intermediate-level professionals aiming to design, manage, and optimize multi-agent workflows within the Google Antigravity ecosystem.

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

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

Course Format

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

Course Customization Options

• If you need a tailored version of this course, please contact us to discuss customization 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.