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Course Outline
AutoGen in the Enterprise Context
- The significance of intelligent agents for business operations
- Overview of AutoGen’s architecture and extensibility
- Security, traceability, and governance considerations for government
Enterprise Workflow Automation with AutoGen
- Designing multi-agent workflows for task coordination in government operations
- Role-based automation scenarios: request handling, approvals, and summaries for enhanced efficiency
- Auto-execution and escalation logic to ensure business continuity for government agencies
AutoGen with LangChain Integration
- Compatibility of LangChain components with AutoGen for government applications
- Chaining agents and tools using memory, tools, and logic to streamline processes
- Utilizing the LangChain Expression Language (LCEL) for complex workflows in government operations
Retrieval-Augmented Generation (RAG) Pipelines
- Connecting AutoGen agents with enterprise knowledge bases to enhance decision-making for government
- Implementing embedding, vector search, and retrieval pipelines for accurate information retrieval
- Augmenting private data with open-source or proprietary models to support informed governance
Integration with Enterprise Tools
- Leveraging APIs to integrate Jira, Slack, Outlook, SharePoint, and other tools for government operations
- Triggering workflows via chat interfaces and ticketing systems to improve responsiveness
- Ensuring real-time notifications, logging, and auditing for compliance and accountability in government
Deployment, Monitoring, and Scaling
- Packaging AutoGen agents for deployment across various government departments
- Monitoring agent interactions, usage, and performance to optimize operations
- Scaling agents to meet the needs of different departments and geographies within government agencies
Enterprise Use Case Prototyping Lab
- Group ideation: exploring enterprise scenarios for automation in government
- Building custom agent workflows with instructor support to address specific government needs
- Simulating production environments to validate and refine workflows for government use
Summary and Next Steps
Requirements
- Proficiency in Python programming for government applications
- Experience with Large Language Models (LLMs) and prompt engineering
- Familiarity with enterprise automation or workflow tools suitable for government use
Audience
- Government AI teams
- Solution architects for government projects
- Innovation strategists in the public sector
21 Hours
Testimonials (1)
Trainer responding to questions on the fly.
