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FreeLangChain Mastery: Build GenAI Apps with LangChain &Pinecone
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This course is a continuation. Its description positions it as the second part of an OpenAI API bootcamp and assumes you already write some Python. Its focus is building LLM applications with LangChain and Pinecone, with Streamlit used for front ends.
Retrieval-augmented apps are the main project type: indexing custom documents, storing embeddings in a vector database and answering questions over them. Chroma appears as a second vector store, which makes it easy to compare how the two are wired into an app.
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!
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Tracking since 15 Nov — not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
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