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Course Outline

Overview of Agentic AI via Gemini 3

  • Autonomous reasoning and independent task completion
  • Distinctive features of Gemini 3 for agent-based workflows
  • Public sector use cases necessitating autonomous operational capabilities

The Antigravity Development Platform

  • Foundational principles, system architecture, and available utilities
  • Oversight of project structures and operational environments
  • Deployment and continuous monitoring of agent execution cycles

Architecting Autonomous Agents

  • Structuring operational tasks and workflows for independent execution
  • Complex multi-stage reasoning and strategic planning sequences
  • Establishing secure, regulated, and controlled action protocols

Code Generation and Utility Integration within Antigravity

  • Empowering agents to generate, edit, and optimize source code
  • Delegating specific operations to system-level tools and external interfaces
  • Regulating access permissions and defining functional boundaries for tools

Multimodal Agent Capabilities utilizing Gemini 3

  • Interpretation of visual, documentary, and structured data formats
  • Synthesis of diverse data types for comprehensive strategic planning
  • Derivation of actionable insights to support autonomous decision-making

Integration of Agents with Public Sector Systems

  • Establishing secure connections between Antigravity and external service interfaces
  • Coordination with cloud infrastructure and authoritative data repositories
  • Construction of fully automated, end-to-end administrative and business processes

Optimization and Evaluation of Agent Performance

  • Enhancing operational consistency and mitigating performance variance
  • Diagnostic analysis and refinement of agent actions for accuracy
  • Assessment of throughput, scalability, and workload distribution

Ethical Use, Security Protocols, and Governance

  • Oversight of agent autonomy within federal and public sector contexts
  • Implementation of safety mandates, operational constraints, and regulatory controls
  • Audit trails for agent decisions and assurance of procedural transparency

Summary and Implementation Roadmap

Requirements

  • Proficiency in advanced artificial intelligence principles and methodologies
  • Demonstrated experience in software engineering and cloud-based infrastructure management
  • Familiarity with prompt engineering techniques or large language model orchestration

Intended Audience

  • Artificial intelligence developers
  • Software engineers
  • Research and development teams
 21 Hours

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