Antigravity for Web Automation & Browser-Based Tasks Training Course

Google Antigravity is an agentic development environment crafted 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 training, available both online and onsite, targets advanced professionals seeking to design, analyze, and optimize agents that can retain memories, improve through feedback, and evolve over extended operational periods.

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

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

Format of the Course

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

Course Customization Options

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

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

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

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

• Develop applications powered by autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for comprehensive end-to-end development.
• Manage multi-agent workflows effectively using the Agent Manager.
• Integrate agent capabilities into production-grade software systems.

Course Format

• A blend of presentations with in-depth demonstrations.
• Extensive hands-on practice and guided exercises.
• Real implementation work conducted within the Antigravity live environment.

Course 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 represents an agent-first development environment engineered to optimize engineering workflows via intelligent automation.

This instructor-led, live training session, available both online and onsite, is tailored for entry-level professionals seeking to grasp the core principles of Antigravity and comprehend how agent-centric coding platforms boost productivity.

By the end of this program, participants will possess the ability to:

• Set up and configure Google Antigravity.
• Navigate and interpret both the Editor View and Manager View.
• Collaborate effectively with agents to automate basic development tasks.
• Leverage Antigravity to create, refine, and oversee project files.

Course Delivery Method

• Instructor-led explanations complemented by live demonstrations.
• Supervised practice exercises centered on the hands-on application of agents.
• Practical discovery of key Antigravity features within a managed lab setting.

Customization Options for the Course

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

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

This instructor-led, live training (available online or onsite) is tailored for intermediate-level professionals looking to design, manage, and optimize 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.
• 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 represents a framework dedicated to advanced development workflows driven by autonomous agents.

This live, instructor-led training session, available both online and onsite, is designed for intermediate to advanced professionals seeking to verify, validate, and secure the outputs generated by AI agents operating within Antigravity environments.

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

• Evaluate the precision and safety of code artifacts created by agents.
• Employ systematic methods to validate tasks executed by agents.
• Efficiently analyze browser recordings and trace agent activities.
• Implement quality assurance and security standards to guarantee the reliability of agent workflows.

Course Delivery Format

• Instructor-facilitated technical presentations and interactive discussions.
• Practical exercises centered on verifying actual agent workflows.
• Hands-on testing and validation conducted in a controlled laboratory setting.

Customization Options for the Course

• Scenario, workflow, and testing examples can be tailored to specific requests.