LangChain Mastery: Build GenAI Apps with LangChain &Pinecone (Udemy.com)
Step-by-Step Approach to LangChain and Pinecone for GenAI with LLMs. Develop Real-World LLM-Powered Apps with Python
Created by: Andrei Dumitrescu
Last updated June 2026
What you will learn
- How to Use LangChain, Pinecone, and OpenAI to Build LLM-Powered Applications.
- Learn about LangChain components, including LLM wrappers, prompt templates, chains, and agents.
- Learn about using multimodal Google's Gemini Pro Vision
- How to integrate Google's Gemini Pro and Pro Vision AI models with LangChain
- Learn about the different types of chains available in LangChain, such as stuff, map_reduce, refine, and LangChain agents.
- Acquire a solid understanding of embeddings and vector data stores.
- Learn how to use embeddings and vector data stores to improve the performance of your LangChain applications.
- Deep Dive into Pinecone.
- Learn about Pinecone Indexes and Similarity Search.
- Project: Build an LLM-powered question-answering app with a modern web-based front-end for custom or private documents.
Course Description
Fully Updated for the latest versions of LangChain, OpenaAI, and Pinecone.
Unlock the Power of LangChain and Pinecone to Build Advanced LLM Applications with Generative AI and Python!
This LangChain course is the 2nd part of “OpenAI API with Python Bootcamp”. It is not recommended for complete beginners as it requires some essential Python programming experience.
Are you ready to dive into the world of Large Language Models (LLMs) and Generative AI (GenAI)? This comprehensive course will guide you through building cutting-edge LLM applications using OpenAI or Gemini API, LangChain, and Pinecone.
By the end of this course, you'll master LangChain and Pinecone to create powerful, production-ready LLM apps in Python. You'll also develop modern web front-ends with Streamlit, bringing your AI applications to life.
In this course, you will:
Understand the fundamentals of LangChain for simplified LLM app development.
Dive into Generative AI with OpenAI and Google's Gemini.
Build real-world LLM applications step-by-step with Python.
Utilize LangChain Agents and Chains for advanced functionalities.
Explore Pinecone for efficient vector embeddings and similarity search.
Work with vector databases like Pinecone and Chroma.
Implement embeddings and indexing for custom document QA systems.
Create RAG (Retrieval-Augemented Generation) Apps with LangChain.
Summarize large texts using LLMs.
Learn Prompt Engineering best practices.
Create engaging front-ends using Streamlit.
Become proficient in using AI Coding Assistants (Jupyter AI)
Create LLM-Based Hands-On Projects with LangChain for the Real-Word: RAG, ChatBot, Summarization
Who should take this course?
Python developers interested in AI, LLMs, LangChain and LangGraph.
Data scientists and AI enthusiasts looking to expand their skill set.
Professionals aiming to leverage Generative AI (GenAI) and LangChain in real-world applications.
Don't miss out on the AI revolution! Equip yourself with the skills to build state-of-the-art LLM applications. Enroll now and stay ahead in the rapidly evolving field of AI.
Join me on this exciting journey to master LangChain, Pinecone, and Generative AI. Let's build the future together!
I look forward to seeing you in the course!
Instructor Details
- 4.5 Rating
5,022 Reviews
Andrei Dumitrescu
Are you ready to master cutting-edge technologies like Python, AI & LLMs, Linux, and Ethical Hacking in a world that is changing faster than ever?
The digital revolution is reshaping industries, and those who adapt win the future—while those who don't risk falling behind.
With nearly two decades of experience as a Network and Software Engineer, I have seen firsthand how automation, AI, and cybersecurity are transforming the global tech landscape.
Now, I’m here to equip you with the disruptive, high-impact skills that will make you an in-demand professional in today’s rapidly evolving world.
⚡ Why Learn from Me?⚡
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Reviews
By Jed Kurth on 4/1/2026
I'm sure this was a good course at one point - but the LangChain library has changed drastically, and much of the instructor's code does not run in the current version of LangChain. I stopped the course around the introduction of sequential chains, when I wasn't sure I could even look up and substitute new sub-library locations to get equivalent functions anymore.
By Joshua Vancleave on 1/30/2026
I'm enjoying the content being taught within the course. However, I'm noticing that a lot of the langchain functionality discussed so far is not supported in python 3.14 yet, and a chunk of the modules are simply not being found
By Gurpreet Singh Grewal on 10/13/2025
The world is abuzz with AI and i also wanted to get my feet wet in this journey. I am a decent python programmer but had no idea about LangChain. I have seen a few You tube videos about LangChain but could not find any end to end complete course. This was my first LangChain course and Andrei did a very good job in explaining the details. He teaches the concepts from ground up and by the end you have a good understanding about the topic. I am thankful to Andrei for explaining the concepts in detail. Only critique of this course i have is the annoying "deprecated" warning that you get when you run the code provided by him. Towards the end of the Projects section he has mentioned the change in import statements that you have to make, so keep a note of the change in the import statements. Instructor should have specified the version of the modules in the requirements.txt file so that we would not have run into the "deprecated" warning issue (The code still works, this is just a warning message). Still, this is a 5 star course as it should be in anyone's LangChain journey.
By Anonymized User on 7/24/2024
This is my 4th course that I am doing on lang chain, and I must say this is awesome. I have had best experience learning from this course, and the projects are really awesome. I am really learning something very useful, and learning from this course is very good valued add. This course builds progressively, with basics, and then moves on to advanced topics. I really love this course. Hoping to do more courses from andrei dumitrescu
By Heiko Maerz on 4/17/2024
Andrei's teaching style perfectly matches the way I like to learn, he both explains and demonstrates, and he does not edit out bugs in the videos as learning opportunities as well. This course gave me the perfect overview over LangChain to start my own projects, even navigating the rather turbulent changes along the versions. I will certainly look for other courses Andrei teaches on Udemy.
By Bibo on 1/21/2024
Wow! I was a little thrown off by the accent at the beginning but wow ... the content is amazing!! He is definitely one of the top 3 at Udemy on the given topic. Learned a lot. In fact, if there was a way to give him six stars I would. Esp, with the Python & Streamlit basics included make the tutorial complete for people like me who come from a Next.js/TypeScript background. Thanx very much Andrei ... keep up the awesome work!!
By Sukriti Gupta on 1/10/2024
Easy to understand. It's of the right length (less than 10 hours) and got me up to speed with using LangChain with PineCone, OpenAI & Streamlit, as promised. It took me about 2 weeks of watching at 2x speed and then re-watching again at regular speed and typing line-by-line on a daily basis to develop my muscle memory (discipline/scheduling is important here).
By Tony Y on 12/12/2023
Of all the dozens and dozens of unfinished Udemy courses, I actually finished this one, because it's so good! It's of the right length (less than 10 hours) and got me up to speed with using LangChain with PineCone, OpenAI & Streamlit, as promised. It took me about 2 weeks of watching at 2x speed and then re-watching again at regular speed and typing line-by-line on a daily basis to develop my muscle memory (discipline/scheduling is important here). Andrei did an excellent job with the delivery with all the necessary tools and resources. Were there frustrations with the code not running and so forth?? Certainly! But that's part of programming and developing one's debugging skills. Searching through the Q&A section also helped. Highly recommended! And I look forward to more future courses from Andrei!
By Luca Miccoli on 8/19/2023
Intriguing and stimulating course. The teacher is always clear and engaging in explanations, always ready and supportive in solving problems. The course is comprehensive and well-structured. For a beginner like me, it's quite easy to understand. I have learned many new and useful concepts so far.
By Mircea Serban on 7/10/2023
Andrei put together a great course to build your next generation application. The example with GDPR is a hot topic in EU so it was well chosen and you can feed your new program with whatever docs you need to learn and become an expert, no matter the language is used. It's mindblowing!
Quality Score
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Overall Score : 90 / 100












