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
Comprehending Agentic AI with Gemini 3
- Agentic reasoning mechanisms and autonomous task execution.
- Distinct capabilities of Gemini 3 for agent-based workflows.
- Enterprise scenarios that necessitate autonomous agents.
Navigating the Antigravity Development Environment
- Core concepts, underlying architecture, and essential toolsets.
- Effective management of projects and development environments.
- Execution and monitoring of agent operations.
Architecting Autonomous Agents
- Structuring tasks and workflows to enable high levels of autonomy.
- Implementing multi-step reasoning and planning chains.
- Designing safe, controlled action loops.
Coding and Tool Integration in Antigravity
- Enabling agents to write and refine code autonomously.
- Delegating tasks to system tools and external APIs.
- Managing tool permissions and capability boundaries.
Leveraging Multimodal Capabilities with Gemini 3
- Processing images, documents, and structured data formats.
- Synthesizing modalities to facilitate complex planning.
- Extracting insights to drive autonomous decision-making.
Integrating Agents with Enterprise Infrastructure
- Connecting Antigravity to external API services.
- Interacting with cloud services and database systems.
- Developing end-to-end automated business workflows.
Optimizing and Evaluating Agent Performance
- Enhancing reliability and managing behavioral variability.
- Debugging processes and refining agent actions.
- Performance optimization, scaling strategies, and workload orchestration.
Responsible AI, Safety, and Governance
- Managing agent autonomy within enterprise frameworks.
- Establishing safety rules, constraints, and governance controls.
- Auditing agent decisions to ensure transparency and accountability.
Summary and Future Directions
Requirements
- A solid grasp of advanced artificial intelligence concepts.
- Practical experience in software development and cloud-based environments.
- Familiarity with prompt engineering or model orchestration techniques.
Target Audience
- AI Developers
- Software Engineers
- Research & Development Teams
Testimonials (1)
Flow , vibe and topic on presentation
