Well, let’s start the course “Beginner-Friendly LangChain Course: Build an AI PDF Document,” which presents you with steps to build applications with LLMs. Prior knowledge of LangChain and LLMs is not necessary to become a member of the group. Cohesively, we will provide clear explications of the concepts that one has to know, and the above examples demystify any complex concepts in a step-by-step fashion.
LangChain is slowly turning into a must-have tool in the toolbox of data scientists and machine learning engineers, similar to how Pandas is in data science. This course, “Beginner-Friendly LangChain Course: Build an AI PDF Document,” is designed to give you a good start to working with LangChain and successfully utilizing its power for your specific needs without having to understand Natural Language Processing or LLMs in detail.
We'll cover key topics step-by-step: the principles of Agents, advanced Prompts, Agents, and their application into Chains. The terminal project of the “Beginner-Friendly LangChain Course: Build an AI PDF Document” course will turn into a real-life LLM application, thus enabling learners to use the obtained skill set to address potential practical problems with the help of LangChain.
Beginner-Friendly LangChain Course: Build an AI PDF Document Table of Contents:
- Introduction to LangChain - 01:14
- Prompts and Prompt Templates - 04:39
- Chains: Simple and Sequential Chains - 06:49
- Agents: Most Powerful Feature of LangChain - 06:05
- Introduction: What Are We Building - 08:35
- Overview: Design Steps - 00:50
- Code: PDFs to Text - 01:27
- Overview of Embeddings (Optional) - 10:19
- Code: Embeddings - 03:14
- Code: Query Building - 03:14
- Build Streamlit App - 20:20
Who is this course for?
- Perfect for beginner AI enthusiasts
