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 Duration 21 hours

Course Outline

Understanding Agentic AI with Gemini 3

  • Agentic reasoning and the mechanics of autonomous task execution
  • Unique capabilities of Gemini 3 specifically tailored for agent workflows
  • Enterprise use cases that demand autonomous agent solutions

Exploring the Antigravity Development Environment

  • Core architectural concepts and the associated toolset
  • Strategies for managing projects and development environments
  • Processes for executing and monitoring agent operations

Designing Autonomous Agents

  • Structuring tasks and workflows to maximize autonomy
  • Implementing multi-step reasoning and planning chains
  • Creating safe and controlled action loops

Coding and Tool Utilization in Antigravity

  • Enabling agents to write and iteratively refine code
  • Delegating specific tasks to system tools and external APIs
  • Managing tool permissions and operational capabilities

Multimodal Agent Capabilities with Gemini 3

  • Processing diverse inputs including images, documents, and structured data
  • Synthesizing modalities for complex planning scenarios
  • Extracting actionable insights to support autonomous decision-making

Integrating Agents with Enterprise Systems

  • Establishing connections between Antigravity and external APIs
  • Interacting seamlessly with cloud services and databases
  • Constructing end-to-end automated business workflows

Optimizing and Evaluating Agent Behavior

  • Enhancing reliability while controlling output variability
  • Debugging strategies and refining agent actions
  • Performance tuning, 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 Next 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
  • R&D Teams

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