Antigravity for Web Automation & Browser-Based Tasks Training Course

Google Antigravity serves as an agentic development environment tailored for constructing autonomous agents capable of planning, reasoning, coding, and executing tasks through Gemini 3's multimodal capabilities.

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

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

• Construct autonomous workflows that utilise Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity that can analyse tasks, write code, and interact with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimize agent behaviour, safety, and reliability within complex environments.

Course Format

• Expert demonstrations combined with interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation utilising Antigravity, Gemini 3, and supporting cloud tools.

Course Customization Options

• Should your team require domain-specific agent behaviours or custom integrations, please contact us to tailor the programme.

Google Antigravity serves as a sophisticated framework for experimenting with long-lasting agents and emergent interactive dynamics.

This guided, live training session (available online or on-site) is designed for senior professionals aiming to design, analyse, and optimise agents capable of retaining memories, improving through feedback, and evolving across extended operational timelines.

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

• Design memory structures that ensure agent persistence.
• Implement robust feedback loops to influence agent behaviour.
• Assess learning trajectories and model drift.
• Integrate memory mechanisms within complex multi-agent ecosystems.

Course Format

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

Customisation Options

• Should your organisation require tailored content or specific case examples, please contact us to arrange a customised training programme.

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 an agent-centric development ecosystem, engineered to optimise engineering processes via intelligent automation.

Delivered as a live, instructor-guided session—available either online or on-site—this course is tailored for entry-level professionals eager to grasp the core principles of Antigravity and appreciate how agent-led coding environments boost efficiency.

By the end of this programme, attendees will be equipped to:

• Deploy and set up Google Antigravity.
• Interact with and interpret both the Editor and Manager interfaces.
• Leverage agents to automate routine development activities.
• Utilise Antigravity to produce, polish, and oversee project files.

Course Structure

• Facilitated instruction accompanied by live, practical demos.
• Supervised exercises emphasising hands-on agent interaction.
• Apractical investigation of essential Antigravity capabilities within a managed lab setting.

Customisation Opportunities

• For those seeking a bespoke version of this training, please reach out to discuss a tailored programme.

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 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 serves as a framework embodying sophisticated agent-driven development workflows.

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

Upon successful completion of this training, participants will be equipped to:

• Evaluate the precision and safety of code artifacts produced by agents.
• Leverage structured methodologies to confirm the execution of agent tasks.
• Effectively analyze browser recordings and trace agent activities.
• Implement quality assurance and security principles to guarantee the dependability of agent workflows.

Course Structure

• Technical briefings and discussions guided by the instructor.
• Practical exercises centered on verifying genuine agent workflows.
• Hands-on testing and validation conducted within a controlled laboratory setting.

Customization Options

• Tailoring of scenarios, workflows, and testing examples can be arranged upon request.