Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to LLM Agent Systems for Government
- Concepts of LLM agents and multi-agent architecture
- Overview of the AutoGen framework and ecosystem
- Agent roles: user proxy, assistant, function caller, and more
Installing and Configuring AutoGen for Government
- Setting up the Python environment and dependencies
- Basics of the AutoGen configuration file
- Connecting to LLM providers (OpenAI, Azure, local models)
Agent Design and Role Assignment for Government
- Understanding agent types and conversation patterns
- Defining agent goals, prompts, and instructions
- Role-based task delegation and control flow
Function Calling and Tool Integration for Government
- Registering functions for agent use
- Autonomous and collaborative function execution
- Connecting external APIs and Python scripts to agents
Conversation Management and Memory for Government
- Session tracking and persistent memory
- Agent-to-agent messaging and token handling
- Managing conversation context and history
End-to-End Agent Workflows for Government
- Building multi-step collaborative tasks (e.g., document analysis, code review)
- Simulating user-agent dialogues and decision chains
- Debugging and refining agent performance
Use Cases and Deployment for Government
- Internal automation agents: research, reporting, scripting
- External-facing bots: chat assistants, voice integrations
- Packaging and deploying agent systems in production
Summary and Next Steps for Government
Requirements
- An understanding of Python programming for government applications
- Familiarity with large language models and prompt engineering for government use cases
- Experience with APIs and automation workflows for government processes
Audience
- AI engineers in the public sector
- ML developers working for government agencies
- Automation architects supporting government operations
21 Hours
Testimonials (1)
Trainer responding to questions on the fly.
