Course Outline

Introduction to Mastra for Government

  • Overview of AI frameworks for TypeScript in the public sector
  • Key features and advantages of Mastra for government applications
  • Installation and project setup for government projects

Understanding the Mastra Architecture for Government

  • Core components and system design relevant to public sector operations
  • Agents, workflows, and memory architecture tailored for government use cases
  • Integration points with APIs and LLMs for government systems

Building AI Agents for Government

  • Creating simple agents with TypeScript for government tasks
  • Utilizing tools and context in agent reasoning for public sector applications
  • Composing multi-step AI tasks to enhance government operations

Workflows and Automation for Government

  • Designing agent-driven workflows for government processes
  • Triggering and managing asynchronous tasks in public sector environments
  • Error handling and process control for government applications

RAG (Retrieval-Augmented Generation) Integration for Government

  • Implementing document retrieval and indexing for government documents
  • Connecting external knowledge bases to enhance public sector data access
  • Optimizing responses using contextual data from government sources

Observability and Debugging for Government

  • Monitoring agent activity and logs for government systems
  • Performance profiling and optimization for public sector applications
  • Debugging workflows and tracking outcomes in government projects

Deployment and Scaling for Government

  • Deploying Mastra applications to production environments for government use
  • Integration with cloud infrastructure suitable for public sector needs
  • Security and scaling best practices for government operations

Best Practices and Enterprise Use Cases for Government

  • Governance, auditability, and reliability considerations for government AI applications
  • Case studies from enterprise implementations in the public sector
  • Future directions and community roadmap for government adoption

Summary and Next Steps for Government

Requirements

  • An understanding of JavaScript and TypeScript fundamentals for government projects.
  • Experience with REST APIs or backend development in a public sector context.
  • Basic familiarity with AI or LLM concepts applicable to government solutions.

Audience

  • Software engineers working on AI or automation solutions for government agencies.
  • Engineering leads building agent-driven systems for public sector applications.
  • Developers exploring enterprise-grade TypeScript AI frameworks for government use.
 14 Hours

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