LangChain with Python Bootcamp (Udemy.com)
Build real world applications with Large Language Models and LangChain!
Created by: Jose Portilla
Last updated May 2024
What you will learn
- Learn to use LangChain for Model Inputs and Outputs to easily switch out LLMs.
- Discover how to perform data connections with Vector Databases such as ChromaDB with your LLMs and Langchain.
- Understand how to utilize LangChain memory to keep track of User and AI conversations.
- Use LangChain to build out custom agents to accomplish tasks with LLMs.
Course Description
Welcome to the LangChain Udemy course: Unlock the Power of Language Models with Python!
Ready to develop cutting-edge applications powered by language models? LangChain is the framework you need. With LangChain, create data-aware and agentic applications that connect language models with other data sources and enable interaction with the environment.
Why Choose LangChain?
LangChain offers numerous benefits for your language model development needs:
Components: LangChain provides modular and user-friendly abstractions for working with language models, along with a wide range of implementations.
Off-the-shelf chains: Start building applications quickly with pre-built chains designed for specific tasks. Modify existing chains or create new ones for more complex or customized use-cases.
LangChain Course Modules:
LangChain offers standard interfaces and external integrations for various modules:
Model I/O: Easily interface with language models.
Data connection: Connect with application-specific data sources.
Chains: Construct sequences of calls to accomplish specific tasks.
Agents: Enable chains to choose tools based on high-level directives.
Memory: Persist application state between runs of a chain.
With LangChain you'll be able to quickly build real world applications that directly sync up with Large Language Models, such as OpenAI's GPT-4 API!
Revolutionize your applications with the power of language models. Enroll in our LangChain Udemy course now and unlock limitless possibilities!
Instructor Details
- 4.6 Rating
3,611 Reviews
Jose Portilla
Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Training and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, SalesForce, Starbucks, McKinsey and many more. Feel free to check out the website link to find out more information about training offerings.
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Reviews
By Anonymized User on 8/12/2025
The course content is excellent for getting started and covers all the key concepts of Langchain effectively. However, most of the videos use older versions of Langchain, which makes it a bit challenging to follow along with the notebooks that rely on the latest version, as the library has undergone significant changes. That said, this course definitely provided me with a solid foundation and a clear starting point for learning Langchain.
By Antonio Jose Dagnino Mendez on 5/29/2025
Great content and hands-on exercises. However, the fast-paced evolving field of AI has already made most of the tools being used in this course to be deprecated. For example, instead of using langchain agents, they now migrated to LangGraph, which requires slight tuning to current libraries and classes used.
By Sayam Kumar on 3/4/2025
The course was an excellent match for me as I wanted to learn Langchain and how to use it effectively to develop authentic and innovative LLM applications. It provided a nice blend of Models IO, Data Connections, Chains, Memory and Agents. The prompt engineering part was quite insightful as well. Incredible work on the course, Jose!
By Abood Alakhras on 2/20/2025
course is nice and simple learning going from basics to advanced modules. I wished though that use cases was a bit more engineering/real problems focused, and more content on agents and use cases. other than that I highly recommend it for someone wants to get to know langchain in a structured approach.
By Ludovic Desmedt on 9/30/2024
The pace and the level of explanation are really good. I built a good knowledge base. However 2 feedbacks: - Evaluation is a part missing ( but well after covering the course we can easily get the sufficient details online, so that s alright) - A lot of components are outdated and have not been properly updated in the june 2024 notebook. In a way this is helpful cause I have had to deep dive more to understand some process under the hood. But that will give a 5stars to the course if it was the case
By Jonathan Perkins on 9/10/2024
Great introduction to using Langchain and applying it to specific use cases. The process of gradually introducing the different components available when using langchain helped to provide insight into developing LLM-based applications and the considerations that may need to be made. Thanks Jose!
By Subhrajit Roy on 7/9/2024
The course is good for getting off the ground with LangChain with Python. The version of LangChain has progressed quite a bit since the recordings and hence most of the code doesn't run exactly as-is. But with a little bit of digging around and reading the latest documentation, I was able to figure out which parts need to change. I think that makes for an interesting learning experience from a student's point of view, given that not everything is spoon fed. However, I understand that this is my point of view and a lot of students may not like doing this "homework" themselves. Anyway! great course. It would be great if you could bring it up to date with latest LangChain with stuff like Runnables, etc. Cheers!
By Rajesh Kutti on 5/3/2024
Thanks! a ton Hose, I have 7+ years experience in ML and building models. I can write on and on about the goodness of your lectures but here is the summary: Human Learning: Each section in your course and the overall course is well organized and the pace and length is prefect; Hence, these engaging lectures helps in learning by connecting easier. You shine bright, because there is technical depth in your materials and you express extreme confidence with your unique and simplified code-along lectures. Experimentation: After learning from your course, I was able to implement a financial use case and impress my Financial Organization - many thanks to you again! If you ever publish a book on LLMs/NLP or modern related technologies, I surely will be one of the many customers who would purchase it. Thanks & Best Regards, RK
By Rohit Parihar on 3/7/2024
Great course. It simply explain all the concepts of Langchain and LLM and then move to agent. When you are working with agents you already know what's happening in the background and in case you do not want to use agent, you can create your functions with customized prompts etc. Overall the course is great and if you are want to learn generative AI then this course simply brings everything to your plate. Watch the video, practice along, complete the exercise and you are the next genai expert.
By John Milton on 9/4/2023
This course took me from the very basics of LangChain all the way to being able to develop custom Agents. Jose actually writes the code, line by line, at a comfortable pace, while explaining the objects and their usage. The course starts with simple concepts and gradually builds up your knowledge and skills in digestible chunks. This is one of the most helpful Udemy courses I've ever taken.
Quality Score
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Overall Score : 92 / 100












