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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
Testimonials (1)
I liked that he constantly provided examples but also offered time for individual work on what he presented.