Udemy – LangChain Mastery: Build GenAI Apps with LangChain &Pinecone

Categories: Data Science
Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

Udemy Original Course Link

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!

Show More

What Will You Learn?

  • LangChain, Pinecone နဲ့ OpenAI သုံးပြီး LLM apps ကို ကိုယ့်အလိုလိုဘဲ တည်ဆောက်တတ်သွားမယ်။
  • LangChain ထဲက လိုအပ်တဲ့ tools တွေ — wrappers, prompt templates, chains, agents စတာတွေကအစ နားလည်သဘောပေါက်သွားမယ်။
  • Google Gemini Pro နဲ့ Pro Vision AI ကို LangChain နဲ့ ချိတ်ပြီး အသုံးချနိုင်သွားမယ်။
  • Chains အမျိုးအစားတွေက တစ်ခုပဲ မဟုတ်ပဲ — stuff, map_reduce, refine စတဲ့ နည်းလမ်းမျိုးစုံကို သုံးနိုင်သွားမယ်။
  • Embeddings နဲ့ Vector Stores ကို သေချာနားလည်ပြီး ကိုယ့် project တွေကို ပိုမိုတိကျပြီး fast ဖြစ်အောင်လုပ်နိုင်မယ်။
  • Pinecone ကို deep dive လုပ်ပြီး Indexes နဲ့ Similarity Search ဘယ်လိုသုံးရမလဲ ဆိုတာကို ကျွမ်းကျင်သွားမယ်။
  • Project လိုက် လက်တွေ့ — Q&A App တစ်ခု တူတူတည်ဆောက်မယ်, အကြီးစား Docs တွေကို Summarize လုပ်မယ်။
  • Learning-by-Doing ပုံစံဆိုတော့ တကယ့်သင်ကြားသမျှကို လက်တွေ့ ချက်ချင်းလုပ်သွားမယ်။
  • Streamlit သုံးပြီး Frontend လုပ်နိုင်သွားမယ်၊ widgets, session state, callbacks စတာတွေကိုလည်း သေချာသိသွားမယ်။
  • နောက်ဆုံး Jupyter AI ကိုလည်း ထိထိရောက်ရောက် သုံးတတ်သွားမယ်။

Course Content

Udemy – LangChain Mastery: Build GenAI Apps with LangChain &Pinecone

  • 01 – Getting Started
    02:08
  • 02 – Deep Dive into LangChain
    01:41:28
  • 03 – LangChain and Vector Stores (Pinecone)
    01:05:32
  • 04 – LangChain and Google’s Gemini Pro and Pro Vision Models
    42:45
  • 05 – Jupyter AI
    41:57
  • 06 – Project #1 Building a Custom ChatGPT App with LangChain From Scratch
    25:31
  • 07 – Project #2 RAG – Q&A App on Your Private Documents (Pinecone and Chroma)
    01:23:06
  • 08 – Project #3 Building a Front-End for the Question-Answering App Using Streamlit
    40:50
  • 09 – Project #4 Summarizing With LangChain and OpenAI
    46:41
  • 10 – Project #5 Building a Custom ChatGTP App with LangChain and Streamlit
    24:05
  • 11 – [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit
    01:09:23
  • 12 – [Appendix] Python Programming
    57:39
  • 13 – [Appendinx] Setting Up the Environment Jupyter Notebook and Google Colab
    20:23
  • 14 – BONUS SECTION

Student Ratings & Reviews

No Review Yet
No Review Yet