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Learn how to design and build more complex LLM applications by leveraging the power of AI orchestration.
Overview
Syllabus
Introduction
- Learn the basics of AI orchestration
- Setting up your environment
- When using ChatGPT isn't enough
- What is AI orchestration, and why is it useful?
- Architecture of AI orchestrators
- Input interface for AI orchestrators
- Output interfaces for AI orchestrators
- Orchestrating LLMs with prompt chaining
- Calling APIs and connecting to databases
- AI workflows and agents
- Specialized large language models (LLMs)
- Building low-code vs. code
- Visualizing an AI orchestration framework
- Building a simple AI app
- Implementing multiple AI workflows
- Adding API calls to your AI app
- Challenge: Building an AI coach
- Solution: Building an AI coach
- Conclusion
Taught by
Denys Linkov
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