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 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

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