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Course Outline
1. Introduction to Generative AI and Azure AI Studio
- Overview of Generative AI vs traditional Artificial Intelligence
- Azure AI Studio environment setup
- Build a basic chatbot using Azure Chat Playground
- HW 1a: Azure setup
- HW 1b: Build Azure chatbot
2. Roles, Functions, and Applications of LLMs and Prompts
- Understanding LLMs, tokens, and memory
- Prompt design principles
- No-code development in Azure AI Studio
- Hands-on LLM selection and tuning
- HW 2: Submit base chatbot with prompt design
3. Introduction to Retrieval-Augmented Generation (RAG)
- Embedded data in system prompts
- RAG fundamentals and Cognitive Search
- Compare static prompt vs dynamic RAG
- Build and test a RAG solution in Azure
- HW 3: Build RAG-based chatbot
4. Testing, Evaluation, and Deployment of AI Chatbots
- Deploy AI assistants as web apps
- Introduction to Prompt Flows
- Use of flows in Excel, websites, tools
- Build and deploy a Prompt Flow for SWOT analysis
- HW 4: Optimize chatbot and report changes
5. Advanced Chatbots and Agent Integration
- AI agents and their capabilities
- Task automation with APIs and tools
- Deploy Prompt Flow endpoints
- Test and consume chatbot in external applications
- HW 5: Identify AI use cases and tools