Agentic Development with Gemini 3 and Google Antigravity Training Course
Google Antigravity serves as an agentic development environment engineered to create autonomous agents capable of planning, reasoning, coding, and executing tasks via the multimodal capabilities of Gemini 3.
\nThis instructor-led live training, available online or onsite, targets advanced technical professionals eager to design, build, and deploy autonomous agents leveraging Gemini 3 and the Antigravity environment.
Upon completing this training, participants will be equipped to:
- Construct autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
- Develop agents within Antigravity that can analyze tasks, generate code, and interact with various tools.
- Integrate Gemini-driven agents with enterprise systems and APIs.
- Enhance agent behavior, safety, and reliability in complex operational environments.
Course Format
- Expert-led demonstrations paired with interactive discussions.
- Hands-on experimentation focused on autonomous agent development.
- Practical implementation utilizing Antigravity, Gemini 3, and complementary cloud tools.
Customization Options
- For teams requiring domain-specific agent behaviors or custom integrations, please reach out to tailor the program to your needs.
Course Outline
Understanding Agentic AI with Gemini 3
- Agentic reasoning and autonomous task execution
- Unique capabilities of Gemini 3 for agent workflows
- Enterprise scenarios requiring autonomous agents
Exploring the Antigravity Development Environment
- Core concepts, architecture, and toolset
- Managing projects and environments
- 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 with software development and cloud environments
- Knowledge of prompt engineering or model orchestration
Audience
- AI developers
- Software engineers
- 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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