2 Day Generative AI Seminar Material
“Generative AI is easy!” Look at ChatGPT, you ask a question, you get an answer! How difficult could it be? Well, for you as an individual, it is very easy and simple to use, but for an enterprise to allow the use of Generative AI, it is very involved to make sure all the pieces involved are secure, scalable, and extensible. There are servers, clusters, APIs, Agents, Datasources, Prompts, Orchestrators, Embedding Models, Vectorization Databases, and many other endpoints that must be put in place and secured to provide reliable answers to questions using Generative AI in a private and secure setting for an organization.
| Time Slot | Description |
|---|---|
| 9:00 - 9:30 | Introductions and Setup |
| 9:30 - 10:30 | Introduction to Generative AI |
| 10:30 - 10:45 | Break |
| 10:45 - 11:15 | Working with OpenAI using API |
| 11:15 - 12:00 | Lab 1 Working with OpenAI using API |
| 12:00 - 1:00 | Lunch |
| 1:00 - 1:30 | Semantic Kernel Fundamentals |
| 1:30 - 2:15 | Lab 2 Semantic Kernel Fundamentals |
| 2:15 - 2:30 | Break |
| 2:30 - 3:15 | Langchain Fundamentals |
| 3:15 - 4:00 | Lab 3 Langchain Fundamentals |
| 4:00 - 4:30 | RALM and RAG Fundamentals |
| 4:30 - 5:00 | Lab 4 RAG Fundamentals |
| Time Slot | Description |
|---|---|
| 9:00 - 9:30 | Review of Day 1 and COT and ReAct |
| 9:30 - 10:30 | Lab 5 COT and ReAct |
| 10:30 - 10:45 | Break |
| 10:45 - 11:15 | Working with Embeddings Models |
| 11:15 - 12:00 | Lab 6 Working with Embeddings Models |
| 12:00 - 1:00 | Lunch |
| 1:00 - 1:30 | Vectorization Fundamentals |
| 1:30 - 2:15 | Lab 7 Vectorization Fundamentals |
| 2:15 - 2:30 | Break |
| 2:30 - 3:15 | Discussion about ChromaDB, PineCone, Faiss and Azure Postgresql |
| 3:15 - 4:00 | Lab 8 Vectorization Databases |
| 4:00 - 4:30 | Red Team Security |
| 4:30 - 5:00 | Open Discussion on both days |