Agentic Development with Gemini 3 and Google Antigravity Training Course
Google Antigravity serves as an agentic development environment, enabling the creation of autonomous agents that can plan, reason, code, and execute actions through the multimodal capabilities of Gemini 3.
This instructor-led live training, available online or onsite, is designed for advanced technical professionals who want to design, build, and deploy autonomous agents using Gemini 3 within the Antigravity environment.
Upon completing this training, participants will be equipped to:
- Create autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
- Develop agents in Antigravity capable of analyzing tasks, writing code, and interacting with various tools.
- Integrate agents powered by Gemini 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 experimentation focused on autonomous agent development.
- Practical implementation utilizing Antigravity, Gemini 3, and supporting cloud tools.
Customization Options
- For teams requiring domain-specific agent behaviors or custom integrations, please contact us to tailor the program.
Course Outline
Understanding Agentic AI with Gemini 3
- Concepts of 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 toolset
- Project management and environment setup
- Executing and monitoring agent runs
Designing Autonomous Agents
- Structuring tasks and workflows for autonomy
- Implementing 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 to support 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 optimization, scaling, and workload orchestration
Responsible Use, Safety, and Governance
- Managing agent autonomy within enterprise contexts
- Implementing safety rules, constraints, and governance controls
- Auditing agent decisions and maintaining transparency
Summary and Next Steps
Requirements
- A solid understanding of advanced AI concepts
- Practical experience in software development and cloud environments
- Knowledge of prompt engineering or model orchestration techniques
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
Provisional Upcoming Courses (Require 5+ participants)
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