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Course Outline
Foundations of Agentic AI with Gemini 3
- Agentic reasoning and the execution of autonomous tasks
- Unique Gemini 3 capabilities tailored for agent workflows
- Enterprise scenarios that necessitate autonomous agents
Navigating the Antigravity Development Environment
- Core concepts, architectural design, and available toolsets
- Management of projects and development environments
- Execution and monitoring of agent runs
Designing Autonomous Agents
- Structuring tasks and workflows to support autonomy
- Implementing multi-step reasoning and planning chains
- Creating safe and controlled action loops
Code Generation and Tool Interaction in Antigravity
- Enabling agents to write and refine code
- Delegating tasks to system tools and APIs
- Managing tool permissions and capability scopes
Utilizing Multimodal Capabilities of Gemini 3
- Processing images, documents, and structured data inputs
- Combining multiple modalities for complex planning
- Extracting insights to drive autonomous decision-making
Enterprise System Integration for Agents
- Connecting Antigravity to external APIs
- Interacting with cloud services and database systems
- Building end-to-end automated business workflows
Optimization and Evaluation of Agent Behavior
- Enhancing reliability and managing output variability
- Debugging and refining agent actions
- Addressing performance, 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 to maintain transparency
Summary and Future Steps
Requirements
- Familiarity with advanced AI concepts
- Experience in software development and cloud environments
- Understanding of prompt engineering or model orchestration
Target Audience
- AI developers
- Software engineers
- R&D teams
21 Hours
Testimonials (1)
Flow , vibe and topic on presentation