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Duration 21 hours
Course Outline
Grasping Agentic AI with Gemini 3
- Agentic reasoning and the execution of autonomous tasks
- Specific capabilities of Gemini 3 suited for agent workflows
- Enterprise scenarios that necessitate autonomous agents
Discovering the Antigravity Development Environment
- Core principles, architecture, and available toolsets
- Oversight of projects and environmental configurations
- Execution and monitoring of agent operations
Architecting Autonomous Agents
- Organizing tasks and workflows to enable autonomy
- Chains of multi-step reasoning and planning
- Designing secure and controlled action loops
Coding and Tool Utilization within Antigravity
- Empowering agents to write and iteratively refine code
- Delegating responsibilities to system tools and APIs
- Managing tool permissions and functional capabilities
Multimodal Agent Features with Gemini 3
- Handling images, documents, and structured data inputs
- Synthesizing modalities for intricate planning processes
- Deriving insights to facilitate autonomous decision-making
Connecting Agents to Enterprise Systems
- Linking Antigravity with external APIs
- Interfacing with cloud services and database systems
- Creating end-to-end automated business workflows
Refining and Assessing Agent Behavior
- Enhancing reliability and managing output variability
- Debugging and polishing agent actions
- Performance metrics, scaling strategies, and workload orchestration
Responsible Usage, Safety, and Governance
- Oversight of agent autonomy within enterprise settings
- Establishing safety rules, constraints, and governance mechanisms
- Auditing agent decisions and ensuring transparency
Wrap-up and Future Directions
Requirements
- Proficiency in advanced AI concepts
- Hands-on experience with software development and cloud environments
- Knowledge of prompt engineering or model orchestration techniques
Target Audience
- AI Developers
- Software Engineers
- R&D Teams
Testimonials (1)
Flow , vibe and topic on presentation
