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Course Outline
Introduction to AI
- Overview of AI and its transformative impact across different industries.
- Understanding the foundational principles of machine learning and deep learning.
- Exploring the evolution of AI technologies and their current operational capabilities.
Introduction to Generative AI and Large Language Models (LLM)
- Understanding the principles and applications of generative AI.
- Examining the architecture and capabilities of ChatGPT.
- Addressing privacy concerns and data security issues.
- Techniques for Prompt Engineering.
Foundations of Retrieval Augmented Generation (RAG)
- The concept of RAG and its role in enhancing generative models.
- Integrating retrieval mechanisms into generative models for improved context comprehension.
- Workshop: Implementing a basic RAG model for information retrieval.
GPT + RAG for Insights from Unstructured Data
- Methods for extracting valuable insights from unstructured data using GPT and RAG.
- Case study: Analysing textual data to derive business intelligence.
GPT for Insights from Structured Data
- Applying GPT models to the analysis of structured datasets.
- Techniques for converting structured data into formats compatible with GPT.
AI Tools and Software
- ChatGPT
- Claude
- Copilot
- LlamaIndex
- LangChain
7 Hours
