This course is designed for software engineers, backend developers, full stack developers or business analysts who want to build Generative AI based applications with LangChain – no machine learning experience required.

Must have some python programming experience.

1. Introduction to LangChain

• Understanding what is LangChain?
• Installing LangChain software
• Creating a simple prompt
• Hands-on: Create a simple prompt

2. Using Model Inputs and Outputs

• Introduction to Model: Inputs and Outputs
• Using an LLM with LangChain
• Using Prompt Templates with LangChain – zero, one and few shot prompts
• Hands-on lab with Model inputs and outputs

3. Understanding Data Connections

• Data connection introduction
• Document Loaders – Integrations
• Document Transformers
• Text Embeddings and leveraging Vector Stores
• Hands-on lab with these topics

4. Using Chains

• LLM Chain Object
• Understanding different LLM Chains
• Sequential and LLM Router Chain
• Hands-on lab with these topics

5. Using Memory for prior chats

• Introduction to Memory
• Different types of memories and memory buffers
• Hands-on lab with Memory

6. Agents

• Introduction to Agents
• Agents use of ReACT framework
• Explore different Agent Tools
• Hands-on lab with these topics

Training material provided: Yes (Digital format)

Hands-on Lab: Instructions will be provided to install Jupyter notebook and other required python libraries. Students can opt to use ‘Google Colaboratory’ if they do not want to install these tools