LangChain Mastery:Develop LLM Apps with LangChain & Pinecone
LangChain Mastery:Develop LLM Apps with LangChain & Pinecone
Step-by-Step LLM App Development using LangChain, Pinecone, OpenAI and Gemini. Make production-ready apps with Python.
Product Brand: Udemy
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Udemy Coupon Code for LangChain Mastery:Develop LLM Apps with LangChain & Pinecone Course. Step-by-Step LLM App Development using LangChain, Pinecone, OpenAI and Gemini. Make production-ready apps with Python.
Created by Andrei Dumitrescu, Crystal Mind Academy | 10.5 hours on-demand video course
LangChain Course Overview
LangChain Mastery:Develop LLM Apps with LangChain & Pinecone
Fully updated in 2024 for the latest versions of LangChain, OpenaAI, Google’s Gemini and Pinecone. Master LangChain, Pinecone, OpenAI and Google’s Gemini. Build hands-on generative LLM-powered applications with LangChain. Create powerful web-based front-ends for your generative apps using Streamlit.
The AI revolution is here and it will change the world! In a few years, the entire society will be reshaped by artificial intelligence. By the end of this course, you will have a solid understanding of the fundamentals of LangChain, Pinecone, OpenAI and Google’s Gemini Pro and Pro Vision. You’ll also be able to create modern front-ends using Streamlit in pure 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. Currently, the effort, knowledge, and money of major technology corporations worldwide are being invested in AI. In this course, you’ll learn how to build state-of-the-art LLM-powered applications with LangChain.
What you’ll 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.
- Project: Build a summarization system for large documents using various methods and chains: stuff, map_reduce, refine, or LangChain Agents.
- This will be a Learning-by-Doing Experience. We’ll Build Together, Step-by-Step, Line-by-Line, Real-World Applications (including front-ends using Streamlit).
- You’ll learn how to create web interfaces (front-ends) for your LLM and generative AI apps using Streamlit.
- Streamlit: main concepts, widgets, session state, callbacks.
- Learn how to use Jupyter AI efficiently.
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Welcome to first LangChain Udemy course – Unleashing the Power of LLM! This comprehensive course is designed to teach you how to harness the power the LangChain library for LLM applications. This LangChain course will equip you with the skills and knowledge necessary to develop cutting-edge LLM solutions for a diverse range of topics.
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This ChatGPT and LangChain course focuses on creating a series of different projects of increasing complexity. You’ll start from the very basics, understanding how to access ChatGPT 4 programatically. From there, we will quickly increase in complexity, building more complex projects with many more features. By the end, you will make a fully-featured web app that implements a “Chat-with-a-PDF” feature.
Who this course is for
- Python programmers who want to build LLM-Powered Applications using LangChain, Pinecone and OpenAI.
- Any technical person interested in the most disruptive technology of this decade.
- Any programmer interested in AI.
Are there any limitations to access udemy coupon Code?
Yes, LangChain Mastery:Develop LLM Apps with LangChain & Pinecone coupon code is valid for the first 1000 enrollments or valid for 30 days, whichever comes first. After that Coupon will expires.
How to apply discount coupon code?
Applying the dicount coupon code is super simple. At end of this post, you will find the “REDEEM CODE” Button, Click on it You will be instantly redirected to a specific course to which the discount is applied and will be able to enjoy significant savings.
LangChain Mastery:Develop LLM Apps with LangChain & Pinecone Coupon code Taught by Andrei Dumitrescu
