LangChain MasterClass- OpenAI LLAMA 2 LLM AI Apps|| Gen AI (Udemy.com)
Discover real-world uses of LangChain, Pinecone, OpenAI, LLAMA 2 ,LLM Build AI Apps Generative AI - Hugging Face
Created by: Sharath Raju
Last updated September 2026
What you will learn
- Helps you to create LLM powered applications usimg Langchain that will help you save time and increase efficiency
- By the end of the course , you will be capable of working on langchain LLM real time projects
- Explore useful concepts that can be used in your Langchain projects
- You will gain a solid understanding of LangChain components like LLM wrappers, prompt templates, and Memory.
- Additionally, we will delve into the concept of embeddings and vector data stores, learning how to utilize them effectively to enhance the performance of LangCh
- Project 1: Construct a question-answering application powered by LLM using LangChain, OpenAI, and Hugging Face Spaces.
- Project 2: Develop a conversational bot using LangChain,LLM and OpenAI.
- Project 3: Build an AI-powered app for kids that helps them find similar classes of things.
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.5 out of 5higher than 46% of them
- Reviews1,412#115 of 462 by number of reviews
- Length9.8 hourslonger than 55% of them
- Last updatedSeptember 2026more recently than 95% of them
Course Description
Unlock the Power of AI with LangChain: Learn to Create Revolutionary Language-Based Applications
Looking to harness the full potential of AI and revolutionize the world of language-based applications? Look no further than LangChain, the comprehensive course designed to transform you from a novice to an expert in record time.
Gen AI apps and LLM projects!
Dive into hands-on projects that will shape your expertise, including:
Project 1: Construct a dynamic question-answering application with the unparalleled capabilities of LangChain, OpenAI, and Hugging Face Spaces, Google Gemini Pro .
Project 2: Develop an engaging conversational bot using LangChain and OpenAI to deliver an interactive user experience.
Project 3: Create an AI-powered app tailored for children, facilitating the discovery of related classes of objects and fostering educational growth.
Project 4: Build a captivating marketing campaign app that utilizes the persuasive potential of well-crafted sales copy, boosting sales and brand reach.
Project 5: Develop a ChatGPT clone with an added summarization feature, delivering a versatile and invaluable chatbot experience.
Project 6: MCQ Quiz Creator App - Seamlessly create multiple-choice quizzes for your students using LangChain and Pinecone.
Project 7: CSV Data Analysis Toll - Helps you analyze your CSV file by answering your queries about its data.
Project 8: Youtube Script Writing Tool - Effortlessly create compelling YouTube scripts with this user-friendly and efficient script-writing tool.
Project 9 - Support Chat Bot For Your Website - Helps your visitors/customers to find the relevant data or blog links that can be useful to them.
Project 10 - Automatic Ticket Classification Tool - The Automatic Ticket Classification Tool categorizes support tickets based on content to streamline ticket management and response processes.
Project 11 - HR - Resume Screening Assistance - HR project using AI to assist in screening resumes, optimizing the hiring process with smart analysis and recommendations
Project 12 - Email Generator using LLAMA 2- The Email Generator is a tool that automatically creates customized emails, saving time and effort in crafting personalized messages.
Project 13 - Invoice Extraction Bot using LLAMA 2- Invoice Extraction Bot: AI-powered tool that extracts key details from invoices accurately and efficiently. Simplify your data entry process.
Course Content:
In this course, we will explore the capabilities of LangChain, an open-source framework that combines LLMs like GPT-4 with external computation and data sources to build scalable and performant AI applications.
You will gain in-depth knowledge of LangChain components, including LLM wrappers, Chains, and Agents. Additionally, we will delve into embeddings and vector databases, with a focus on Pinecone.
Through a learning-by-doing approach, we will collaboratively build real-world LLM applications using Python, LangChain, and OpenAI, complete with modern web app front-ends developed with Streamlit.
Course Highlights:
Unlock the true potential of LangChain, LLMs, Google Gemini Pro , Chat Models, Prompts, Indexes, Data Connections, Chains, Agents, and Memory.
Harness the power of LLMs and LangChain to develop robust applications, integrating cognitive and information sources with Pinecone.
Explore new horizons and unleash unprecedented possibilities with LangChain and Google Gemini Pro , Pinecone-powered applications.
Instructor Details
- 4.5 Rating
1,412 Reviews
Sharath Raju
I am an engineer by profession and by heart :)
It's been 8+ years since I have been working with software development, robotic process automation and AI app’s implementation.
I have implemented close to 80+ RPA processes in total by using Uipath & Microsoft Power Automate.
And also build AI powered apps using different technologies!
It is so true that someone learns more by not reading something but by practicing the skill.
I have been trying to understand exactly where people who are just starting out their career struggle and understand the pain of struggling for hours trying to figure something out.
I can help you with that.
Having a passion to share my piece of content, I have created step-by-step easy-to-digest courses.
My goal is to help you get ready for the future by learning new talents and becoming more productive by providing you with relevant and useful courses.
I'm still learning and exploring my field of work :)
Every feedback should be as valuable as you are to me, please feel free to reach out to me if you have any feedback, questions, or need any help. Thank You...
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Reviews
By Ashwin Joshi on 12/11/2024
The langchain version used it outdated. It is a good course for someone to know the broad concepts, research langchain and the implement the latest changes. The project choices are amazing.
By Osccar on 4/10/2024
good and very amazing course, very easy to follow, and good explanation for each chapter . I never learn programming before but I could understand all from this course. Hope that you could continue sharing more deep lesson.
By Anonymized User on 3/21/2024
Easy to follow and the code is up-to-date. Compare to other lectures, the lecturer is pretty industrious and I love it. If the teacher make other lectures in here, definitely I will take his own.
By Shashidhar Rai on 9/18/2023
Perfect and Organised things always catch my attention and that's what this course is all about. Explaining everything in detail clears all the doubts. Thank you for this wonderful course!
By Robert Merchant on 9/6/2023
This is a solid course. One of the best courses on this topic that I have seen on Udemy. Highly recommended.
By Michael on 8/23/2023
It provided excellent content and knowledgeable coaching, going above and beyond my expectations. A solid 5-star rating is fully deserved for the course Langchain, openAI, Chat GPT, and Pinecone.
By Thirsty4k - on 8/19/2023
The course is well structured, and you get to develop applications within a relatively large range of topics. In some cases, I would have wished to receive more in depth information, as it is a Masterclass not introduction to programming, but overall, a good intro to LangChain. But the audio terrible and the author's accent does not help it at all. The volume is very low, impossible to watch with regular headphones, you really need something to boost it, except if you are completely alone in a room with no noise. Even on a notebook, your volume has to be MAXED out, I am not exaggerating. And from time to time, these high pitched noises appear, which believe me, especially with headphones and volume 100%... it's something. I really don't understand this, you develop a plan, a curriculum, application ideas, materials, delivering in the end a relatively good course. But you decide it's not worth investing the extra time in improving the MAIN way in which you interact with your audience. And that is audio. You hear the mashed words, the low sound, the noise, the extra high noise that startle you from time to time, and in the end decide it does not matter.
By Seamus McMillen on 7/31/2023
Grammatical errors are regular in the text. The examples are good but the order is a bit mistaken. Also, from time to time, the examples on the screen are incorrect (i.e., user_input.st.session[API_Key] was user_input, st.session[API_Key] in the app.py - which made more sense). None-the-less, the learn by doing method is exactly what should be done by all CS instructors.
By Neeraj on 7/18/2023
Great explanation of concepts with supporting project, that helps to understand in a better way. Highly recommended this course. Also want to appreciate Sharath for prompt help for any doubt/clarification.
By sumanth veeravelli on 6/13/2023
Am writing this review post completion of the course, At the end of the course you will get an clear idea about the langchain concepts and how to work with the same. Sharath has explained the concepts in well structured format with suitable examples.
Quality Score
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Overall Score : 90 / 100







