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Duration 21 hours
Course Outline
Grasping Agentic AI with Gemini 3
- Agentic reasoning and the execution of autonomous tasks
- Distinct capabilities of Gemini 3 for agent-based workflows
- Enterprise use cases that necessitate autonomous agents
Navigating the Antigravity Development Environment
- Key concepts, architectural overview, and available tools
- Oversight of projects and development environments
- Running and monitoring agent operations
Architecting Autonomous Agents
- Structuring tasks and workflows to enable autonomy
- Implementing multi-step reasoning and planning chains
- Creating safe, controlled action loops
Coding and Utilizing Tools in Antigravity
- Enabling agents to generate and refine code
- Delegating specific tasks to system tools and APIs
- Regulating tool permissions and operational capabilities
Leveraging Multimodal Agent Capabilities with Gemini 3
- Processing images, documents, and structured data sets
- Synthesizing multiple modalities for complex planning
- Deriving insights to support autonomous decision-making
Connecting Agents to Enterprise Systems
- Linking Antigravity with external APIs
- Interaction with cloud services and databases
- Developing end-to-end automated business workflows
Refining and Assessing Agent Behavior
- Enhancing reliability and managing variability
- Debugging and iterating on agent actions
- Performance optimization, scaling, and workload management
Responsible Usage, Safety, and Governance
- Oversight of agent autonomy in enterprise settings
- Establishing safety rules, constraints, and governance controls
- Auditing agent decisions to ensure transparency
Wrap-up and Future Directions
Requirements
- A solid grasp of advanced AI concepts
- Proficiency in software development and cloud environments
- Familiarity with prompt engineering or model orchestration
Target Audience
- AI Developers
- Software Engineers
- R&D Teams
Testimonials (1)
Flow , vibe and topic on presentation
