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Course Outline

AutoGen in the Enterprise Context

  • Understanding the importance of intelligent agents for business operations.
  • Reviewing AutoGen’s architecture and extensibility features.
  • Addressing security, traceability, and governance considerations.

Enterprise Workflow Automation with AutoGen

  • Designing multi-agent workflows for effective task coordination.
  • Implementing role-based automation scenarios, including request handling, approvals, and summaries.
  • Establishing auto-execution and escalation logic to ensure business continuity.

AutoGen with LangChain Integration

  • Exploring LangChain components and their compatibility with AutoGen.
  • Chaining agents and tools utilizing memory, tools, and logic.
  • Utilizing the LangChain Expression Language (LCEL) for complex workflows.

Retrieval-Augmented Generation (RAG) Pipelines

  • Connecting AutoGen agents with enterprise knowledge bases.
  • Implementing embedding, vector search, and retrieval pipelines.
  • Augmenting private data using open-source or proprietary models.

Integration with Enterprise Tools

  • Using APIs to connect with Jira, Slack, Outlook, SharePoint, and other tools.
  • Triggering workflows via chat interfaces and ticketing systems.
  • Enabling real-time notifications, logging, and auditing.

Deployment, Monitoring, and Scaling

  • Packaging AutoGen agents for deployment.
  • Monitoring agent interactions, usage patterns, and performance.
  • Scaling agents across various departments and geographies.

Enterprise Use Case Prototyping Lab

  • Group ideation sessions to identify enterprise scenarios for automation.
  • Building custom agent workflows with instructor support.
  • Simulating production environments for validation.

Summary and Next Steps

Requirements

  • Proficiency in Python programming.
  • Experience with Large Language Models (LLMs) and prompt engineering.
  • Familiarity with enterprise automation or workflow tools.

Audience

  • Enterprise AI teams.
  • Solution architects.
  • Innovation strategists.
 21 Hours

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