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Course Outline
Introduction to AI
- Overview of AI and its impact across industries.
- Understanding the basics of machine learning and deep learning.
- Discussion on the evolution of AI technologies and their current capabilities.
Introduction to Generative AI and Large Language Models (LLM)
- Understanding generative AI and its applications.
- Exploring the architecture and capabilities of ChatGPT.
- Addressing privacy concerns.
- Prompt Engineering.
Foundations of Retrieval Augmented Generation (RAG)
- The concept of RAG and how it enhances generative models.
- Integrating retrieval mechanisms into generative models for improved context understanding.
- Workshop: Implementing a basic RAG model for information retrieval.
GPT + RAG for Insights from Unstructured Data
- Techniques for extracting insights from unstructured data using GPT and RAG.
- Case study: Analyzing textual data to gather business intelligence.
GPT for Insights from Structured Data
- Applying GPT models to structured data analysis.
- Techniques for transforming structured data into formats suitable for GPT processing.
AI Tools and Software
- ChatGPT.
- Claude.
- Copilot.
- LlamaIndex.
- LangChain.
7 Hours
