What you'll learn

Skills you'll gain

There are 14 modules in this course

Begin your journey by setting up your development environment, including Python and essential APIs, to create an optimized workspace. Dive deep into the core principles of LLMs and LangChain, exploring their components like chains, agents, memory, and parsers. Through engaging videos and hands-on exercises, you’ll learn to construct AI-driven solutions with precision and scalability. As the course progresses, you’ll tackle real-world projects, such as a newsletter generator, PDF data extractor, and multi-document chatbot. You’ll also explore creative implementations like an image-to-text recipe generator, gaining practical experience with tools like Streamlit, HuggingFace, and Chroma DB. Whether you're an AI enthusiast or a seasoned developer, this course offers valuable insights and practical skills. A basic understanding of Python is recommended, making this course suitable for learners at an intermediate level.

Development Environment Setup

LangChain and LLMs - Deep Dive

LangChain Prompts Template

LangChain Parsers

LangChain Memory and Chains

LangChain Routers, Document Loading and Document Splitting

LangChain Embeddings and Vectorstores

LangChain Agents - Deep Dive

[REAL-WORLD] App - PDF Extractor

[REAL-WORLD] App - Newsletter Generator

[REAL-WORLD] App - Multi-document Chatbot

[REAL-WORLD] App - Image to Text

Next Steps

Explore more from Machine Learning