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Duration 21 hours
Course Outline
Comprehending Agentic AI through Gemini 3
- Agentic reasoning and independent task completion
- Distinct capabilities of Gemini 3 for agent-centric workflows
- Business scenarios that necessitate autonomous agents
Navigating the Antigravity Development Environment
- Fundamental concepts, architecture, and available tools
- Project and environment management
- Running and overseeing agent executions
Architecting Autonomous Agents
- Organizing tasks and workflows for independence
- Multi-stage reasoning and planning sequences
- Creating secure and regulated action cycles
Code Generation and Tool Utilization in Antigravity
- Enabling agents to generate and improve code
- Assigning tasks to system utilities and APIs
- Oversight of tool permissions and capabilities
Advanced Multimodal Agent Functions with Gemini 3
- Handling images, documents, and structured datasets
- Synthesizing modalities for intricate planning
- Deriving insights to support autonomous decisions
Connecting Agents to Enterprise Infrastructures
- Linking Antigravity to external APIs
- Interaction with cloud platforms and databases
- Developing complete, automated business processes
Refining and Assessing Agent Performance
- Boosting reliability and managing variance
- Diagnosing and polishing agent actions
- Performance optimization, scalability, and workload management
Ethical Application, Safety, and Governance
- Oversight of agent autonomy in corporate settings
- Safety protocols, restrictions, and governance mechanisms
- Reviewing agent decisions and ensuring transparency
Wrap-up and Subsequent Actions
Requirements
- Familiarity with advanced AI principles
- Proficiency in software development and cloud infrastructure
- Understanding of prompt engineering or model orchestration
Target Audience
- AI Developers
- Software Engineers
- R&D Teams
Testimonials (1)
Flow , vibe and topic on presentation