Agentic Development with Gemini 3 and Google Antigravity Training Course
Google Antigravity serves as an agentic development environment for creating autonomous agents that plan, reason, code, and act via Gemini 3's multimodal capabilities.
This instructor-led, live training (available online or onsite) targets advanced-level technical professionals looking to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.
Upon completing this training, participants will be able to:
- Construct autonomous workflows leveraging Gemini 3 for reasoning, planning, and execution.
- Create agents in Antigravity capable of analysing tasks, writing code, and interacting with tools.
- Integrate Gemini-driven agents with enterprise systems and APIs.
- Enhance agent behaviour, safety, and reliability within complex environments.
Course Format
- 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 behaviours or custom integrations, please contact us to tailor the program.
Course Outline
Understanding Agentic AI with Gemini 3
- Agentic reasoning and autonomous task execution
- Capabilities unique to 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
- Allowing 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 Behaviour
- 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
- An 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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