Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Foundations of Agentic AI with Gemini 3
- Agentic reasoning and the execution of autonomous tasks
- Unique capabilities of Gemini 3 tailored for agent workflows
- Enterprise scenarios that necessitate autonomous agents
Navigating the Antigravity Development Environment
- Core concepts, architectural design, and available toolsets
- Project management and environment configuration
- Execution and monitoring of agent runs
Architecting Autonomous Agents
- Structuring tasks and workflows to support autonomy
- Implementing multi-step reasoning and planning chains
- Designing safe and controlled action loops
Code Generation and Tool Interaction in Antigravity
- Enabling agents to write and refine code
- Delegating specific tasks to system tools and APIs
- Managing tool permissions and capability boundaries
Utilizing Multimodal Agent Capabilities with Gemini 3
- Processing diverse inputs such as images, documents, and structured data
- Combining different modalities for complex planning strategies
- Extracting key insights to support autonomous decision-making
Integrating Agents into Enterprise Ecosystems
- Connecting Antigravity to external APIs
- Interacting with cloud services and database systems
- Building end-to-end automated business workflows
Refining and Assessing Agent Performance
- Enhancing reliability and managing output variability
- Debugging processes and refining agent actions
- Addressing performance, scaling, and workload orchestration
Responsible AI, Safety, and Governance
- Managing agent autonomy within enterprise contexts
- Implementing safety rules, constraints, and governance controls
- Auditing agent decisions to maintain transparency
Conclusion and Future Steps
Requirements
- A solid grasp of advanced AI concepts.
- Proficiency in software development and cloud-based environments.
- Familiarity with prompt engineering or model orchestration techniques.
Target Audience
- AI developers
- Software engineers
- Research and Development (R&D) teams
Testimonials (1)
Flow , vibe and topic on presentation