Course Outline

Introduction to Python Environments for Agentic Development

  • Setting up Python, virtual environments, and dependency management for government projects
  • Using Git and Docker for version control and environment isolation
  • Best practices for creating reproducible development environments

Overview of Agent SDKs and Frameworks

  • Evaluation of LangChain, AutoGen, and other emerging SDKs for government use
  • Understanding the structure and lifecycle of agents: perception, reasoning, and action
  • Comparing capabilities and architectural styles of different SDKs

Building Functional Agents in Python

  • Developing a simple agent using LangChain for government applications
  • Integrating agents with external tools and APIs
  • Managing input/output, memory, and persistence in agent development

Tool and API Integration

  • Defining and registering tools for agent use in government projects
  • Ensuring secure API integration and key management
  • Leveraging external data sources and custom function calls

Agent Orchestration and Communication Patterns

  • Facilitating multi-agent collaboration using AutoGen for government tasks
  • Implementing task delegation and planning logic in agent systems
  • Designing event-driven and asynchronous orchestration mechanisms

Testing, Debugging, and Observability

  • Testing agents with mock inputs and controlled environments for government applications
  • Debugging message flow and tool invocation issues in agent systems
  • Implementing structured logging and performance metrics for enhanced observability

Deployment and Production Considerations

  • Packaging and containerizing Python agent services for government deployment
  • Integrating with continuous integration/continuous deployment (CI/CD) pipelines
  • Scaling, monitoring, and maintaining long-running agents in production environments

Summary and Next Steps

Requirements

  • An understanding of Python programming and package management for government
  • Experience with REST APIs and JSON data structures
  • Basic familiarity with asynchronous I/O in Python

Audience

  • Backend engineers
  • Platform engineers
  • Machine learning engineers
 21 Hours

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