Agentic Development with Gemini 3 and Google Antigravity Training Course
Google Antigravity serves as an agentic development environment tailored for creating autonomous agents that can plan, reason, code, and execute actions via the multimodal capabilities of Gemini 3.
This instructor-led live training (available online or on-site) targets advanced technical professionals who want to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity platform.
After completing this training, participants will be equipped to:
- Construct autonomous workflows leveraging Gemini 3 for reasoning, planning, and execution.
- Develop agents within Antigravity that can analyze tasks, generate code, and interact with various tools.
- Integrate Gemini-powered agents into enterprise systems and APIs.
- Enhance agent behavior, safety, and reliability in complex operational environments.
Course Format
- Expert demonstrations paired with interactive discussions.
- Hands-on practice in autonomous agent development.
- Practical application using Antigravity, Gemini 3, and complementary cloud tools.
Course Customization Options
- If your team needs domain-specific agent behaviors or custom integrations, please reach out to us to tailor the program accordingly.
Course Outline
Understanding Agentic AI with Gemini 3
- Agentic reasoning and autonomous task execution.
- Unique capabilities of Gemini 3 for agent workflows.
- Enterprise scenarios that benefit from autonomous agents.
Exploring the Antigravity Development Environment
- Core concepts, architecture, and available toolsets.
- Project and environment management.
- Executing and monitoring agent runs.
Designing Autonomous Agents
- Structuring tasks and workflows for autonomy.
- Multi-step reasoning and planning chains.
- Designing safe and controlled action loops.
Coding and Tool Use in Antigravity
- Enabling agents to write and refine code.
- Delegating tasks to system tools and APIs.
- Managing tool permissions and capabilities.
Multimodal Agent Capabilities with Gemini 3
- Processing images, documents, and structured data.
- Combining modalities for complex planning.
- Extracting insights for autonomous decision-making.
Integrating Agents with Enterprise Systems
- Connecting Antigravity to external APIs.
- Interacting with cloud services and databases.
- Building end-to-end automated business workflows.
Optimizing and Evaluating Agent Behavior
- Improving reliability and controlling variability.
- Debugging and refining agent actions.
- Performance, scaling, and workload orchestration.
Responsible Use, Safety, and Governance
- Managing agent autonomy in enterprise contexts.
- Safety rules, constraints, and governance controls.
- Auditing agent decisions and maintaining transparency.
Summary and Next Steps
Requirements
- A solid understanding of advanced AI concepts.
- Experience in software development and cloud environments.
- Familiarity with prompt engineering or model orchestration.
Target Audience
- AI developers.
- Software engineers.
- Research and development (R&D) teams.
Open Training Courses require 5+ participants.
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Testimonials (1)
Flow , vibe and topic on presentation
Lukasz Kowalczyk - Allegro Sp. z o.o.
Course - Google Gemini AI for Data Analysis
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