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

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

This live training, facilitated by an instructor (available online or on-site), is designed for advanced technical professionals seeking 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 utilize Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity capable of analyzing tasks, writing code, and interacting with various tools.
• Integrate Gemini-powered agents into enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability within complex environments.

Course Format

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

Course Customization Options

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

Google Antigravity serves as an advanced framework designed for experimenting with long-lived agents and emergent interactive behaviors.

This instructor-led training session, available online or onsite, targets advanced professionals who aim to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over extended operational periods.

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

• Design memory structures that ensure agent persistence.
• Implement effective feedback loops to influence agent behavior.
• 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 via structured design challenges.
• Application of concepts within simulated agent environments.

Customization Options

• Organizations requiring tailored content or case-specific examples are encouraged to contact us to customize this training.

Antigravity serves as a specialized development platform aimed at constructing AI-driven, agent-centric applications.

This instructor-led live training, available in both online and onsite formats, targets intermediate developers looking to build practical solutions using autonomous AI agents within the Antigravity ecosystem.

Upon completion, participants will be able to:

• Create applications that leverage autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for comprehensive development workflows.
• Orchestrate multi-agent workflows using the Agent Manager.
• Seamlessly integrate agent capabilities into production-grade software systems.

Course Format

• A blend of conceptual presentations and in-depth technical demonstrations.
• Extensive hands-on practice supported by guided exercises.
• Real-world implementation tasks conducted within the live Antigravity environment.

Customization Options

• For content tailored to your specific development stack, please reach out to us to arrange a customized training session.

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

This instructor-led live training (available online or onsite) targets intermediate-level professionals aiming to build, automate, and test browser-based workflows using Google Antigravity.

After completing the training, participants will be able to:

• Create agents that interact with web applications within a browser interface.
• Automate end-to-end workflows across various browser contexts.
• Validate and troubleshoot agent behavior in user interface-driven environments.
• Implement cross-surface automation strategies using Antigravity.

Course Format

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

Course Customization Options

• For tailored training needs, please contact us to adapt the course to your specific objectives.

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 online or onsite) targets intermediate-level professionals looking to design, manage, and optimize multi-agent workflows within the Google Antigravity ecosystem.

Upon completing this training, participants will be equipped with the following skills:

• Configure agent responsibilities and orchestration pipelines via the Manager interface.
• Generate and interpret Antigravity artifacts, including task lists, plans, logs, and browser recordings.
• Implement verification strategies to maintain transparency and auditability in agent actions.
• Optimize multi-agent collaboration for complex development and operational tasks.

Course Format

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

Course Customization Options

• For a tailored version of this course, please contact us to discuss customization possibilities.

Antigravity serves as a framework that embodies sophisticated, agent-led development workflows.

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

After completing this training, participants will be capable of:

• Evaluating the accuracy and safety of code artifacts created by agents.
• Applying structured methods to verify tasks executed by agents.
• Effectively analyzing browser recordings to trace agent activity.
• Implementing QA and security standards to guarantee the reliability of agent-driven workflows.

Course Format

• Instructor-guided technical briefings and interactive discussions.
• Practical exercises centered on verifying authentic agent workflows.
• Hands-on testing and validation within a secure lab environment.

Customization Options

• Scenarios, workflows, and testing examples can be tailored upon request.