---
title: "Langchain"
source: Panaversity Learn Agentic AI
source_url: https://github.com/panaversity/learn-agentic-ai
licence: Apache-2.0
domain: agentic-ai
subdomain: panaversity-agentic
date_added: 2026-04-25
---

# Langchain

Our objective is to become world class experts in Langchain. Ideally we should learn it by running it on Google Colab with a model installed. This will allow all our students to learn for free. However, we will start by using Google Gemini APIs becuase it is easy to use and almost free. Check out the [pricing](https://ai.google.dev/pricing).


[Short Course: LangChain for LLM Application Development](https://www.deeplearning.ai/short-courses/langchain-for-llm-application-development/)


[Introduction](https://python.langchain.com/docs/introduction/)

[Tutorials](https://python.langchain.com/docs/tutorials/)

[Conceptual guide](https://python.langchain.com/docs/concepts/)

Note: We will not be using version 0.2 but moved to 0.3 and above.

## Additional Reading Material

Chapter 3 (Standard Practices for Text Generation with ChatGPT) of [Prompt Engineering for Generative AI](https://www.oreilly.com/library/view/prompt-engineering-for/9781098153427/)

Chapter 4 (Advanced Techniques for Text Generation with LangChain) of [Prompt Engineering for Generative AI](https://www.oreilly.com/library/view/prompt-engineering-for/9781098153427/)

Chapter 5 (Vector Databases with FAISS and Pinecone) of [Prompt Engineering for Generative AI](https://www.oreilly.com/library/view/prompt-engineering-for/9781098153427/) 

Chapter 6 (Autonomous Agents with Memory and Tools) of [Prompt Engineering for Generative AI](https://www.oreilly.com/library/view/prompt-engineering-for/9781098153427/)

Chapter 10 (Building AI-Powered Applications) of [Prompt Engineering for Generative AI](https://www.oreilly.com/library/view/prompt-engineering-for/9781098153427/)

Chapter 5 (Fine-Tuning Generative Models for Specific Tasks) of [Generative AI Foundations in Python](https://www.amazon.com/Generative-Foundations-Python-techniques-challenges/dp/1835460828/ref=sr_1_6) 

Chapter 6 (Understanding Domain Adaptation for Large Language Models) of [Generative AI Foundations in Python](https://www.amazon.com/Generative-Foundations-Python-techniques-challenges/dp/1835460828/ref=sr_1_6)
