Week 1: Introduction to Generative AI, LLMs, and Multimodal AI

Duration: 4 Hours

● Overview of Generative AI
● Understanding Large Language Models (LLMs) and Transformer Architecture
● Introduction to Multimodal AI
● Real-world applications and use cases
● Ethical considerations in Generative AI

Week 2: Working with LLMs and Prompt Engineering

Duration: 4 Hours

● Basics of using Large Language Models
● Hands-on session: interacting with LLMs
● Prompt engineering techniques
● Designing effective prompts for various tasks
● Common challenges and troubleshooting in prompt engineering

Week 3: Building Chatbots with your own Data via Retrieval-Augmented Generation
(RAG)

Duration: 4 Hours

● Optimizing the responses of Large Language Models
● Introduction to Retrieval-Augmented Generation
● Case studies of RAG implementations
● Hands-on session: Building a simple RAG application
● Performance optimization techniques

Week 4: Building an AI Agent with LangChain

Duration: 4 Hours

● Overview of LangChain framework
● Case studies of AI Agent Applications
● Step-by-step guide to building an AI agent
● Hands-on session: Developing an AI agent with LangChain
● Future trends and advanced features in AI agents