Antigravity for Web Automation & Browser-Based Tasks 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 serves as a sophisticated framework for experimenting with persistent agents and emergent interactive dynamics.

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

Upon course completion, participants will acquire the ability to:

• Architect long-term memory structures for agent persistence.
• Establish effective feedback loops to guide agent behavior.
• Assess learning trajectories and monitor model drift.
• Integrate memory mechanisms within complex multi-agent ecosystems.

Course Format

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

Customization Options

• For organizations requiring tailored content or case-specific examples, please reach out to customize this training.

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

This instructor-led live training, available either online or on-site, is designed for intermediate-level developers looking to build real-world applications utilizing autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will be able to:

• Build applications that depend on coordinated and autonomous AI agents.
• Utilize the Antigravity IDE, including its editor, terminal, and browser features for comprehensive development.
• Oversee multi-agent workflows via the Agent Manager.
• Embed agent capabilities into production-ready software systems.

Course Format

• A mix of presentations and in-depth practical demonstrations.
• Abundant hands-on practice supported by guided exercises.
• Practical implementation work conducted directly within the live Antigravity environment.

Customization Options

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

Google Antigravity is an agent-first development environment designed to streamline engineering workflows through intelligent automation.

This instructor-led, live training (online or onsite) is aimed at beginner-level practitioners who wish to explore the fundamentals of Antigravity and understand how agent-driven coding environments enhance productivity.

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

• Install and configure Google Antigravity.
• Navigate and understand both the Editor View and Manager View.
• Work effectively with agents to automate simple development tasks.
• Use Antigravity to generate, refine, and manage project files.

Format of the Course

• Instructor explanations supported by real-time demonstrations.
• Guided exercises focused on hands-on use of agents.
• Practical exploration of core Antigravity features in a controlled lab environment.

Course Customization Options

• If you require a tailored version of this training, please contact us to arrange a customized 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 training, available either online or onsite, is tailored for intermediate-level professionals seeking to design, manage, and optimize multi-agent workflows within the Google Antigravity ecosystem.

Upon completing this course, participants will acquire the ability to:

• Configure agent responsibilities and orchestration pipelines via 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.
• Optimize 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 Customization Options

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

Antigravity is a framework designed to represent advanced agent-driven development workflows.

This instructor-led, live training (available online or onsite) targets intermediate to advanced professionals who want to verify, validate, and secure the output generated by AI agents operating within Antigravity-driven environments.

After completing this training, participants will be able to:

• Evaluate the accuracy and safety of code artifacts produced by agents.
• Employ structured techniques to verify tasks executed by agents.
• Analyze browser recordings and trace agent activity effectively.
• Apply QA and security principles to ensure the reliability of agent workflows.

Course Format

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

Customization Options for the Course

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