Εξέλιξη Κομματιού

Understanding Agentic AI with Gemini 3

  • Agentic reasoning and autonomous task execution
  • Capabilities unique to Gemini 3 for agent workflows
  • Enterprise scenarios requiring autonomous agents

Exploring the Antigravity Development Environment

  • Core concepts, architecture, and toolset
  • Managing projects and environments
  • Executing and monitoring agent runs

Designing Autonomous Agents

  • Structuring tasks and workflows for autonomy
  • Multi-step reasoning and planning chains
  • Designing safe and controlled action loops

Coding and Tool Use in Antigravity

  • Allowing agents to write and refine code
  • Delegating tasks to system tools and APIs
  • Managing tool permissions and capabilities

Multimodal Agent Capabilities with Gemini 3

  • Processing images, documents, and structured data
  • Combining modalities for complex planning
  • Extracting insights for autonomous decision-making

Integrating Agents with Enterprise Systems

  • Connecting Antigravity to external APIs
  • Interacting with cloud services and databases
  • Building end-to-end automated business workflows

Optimizing and Evaluating Agent Behavior

  • Improving reliability and controlling variability
  • Debugging and refining agent actions
  • Performance, scaling, and workload orchestration

Responsible Use, Safety, and Governance

  • Managing agent autonomy in enterprise contexts
  • Safety rules, constraints, and governance controls
  • Auditing agent decisions and maintaining transparency

Summary and Next Steps

Απαιτήσεις

  • An understanding of advanced AI concepts
  • Experience with software development and cloud environments
  • Knowledge of prompt engineering or model orchestration

Audience

  • AI developers
  • Software engineers
  • R&D teams
 21 Ώρες

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