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Video course · 8 chapters · 242 min · certificate

LangChain GEN AI Tutorial – 6 End-to-End Projects using OpenAI, Google Gemini Pro, LLAMA2

LangChain through six end-to-end projects: a LangChain crash course, chat with PDF on AstraDB, blog generation with Llama 2, an LLM app on Pinecone, a Gemini Pro demo, a multi-language invoice extractor and a conversational Q&A chatbot with Gemini Pro.

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What you'll learn

  • Use LangChain's core components
  • Build chat-with-PDF with a vector DB
  • Generate content with Llama 2
  • Build RAG apps with Pinecone
  • Use Gemini Pro for vision and chat
  • Build an invoice extractor and Q&A chatbot

Chapters

8 chapters · 241:40
  1. 1:36 01Intro Members Introduction What you'll learn.
  2. 76:50 02Crash course Members LangChain crash course Core components.
  3. 22:55 03PDF Members Chat with PDF using AstraDB Vector store.
  4. 35:00 04Llama 2 Members Blog generation with Llama 2 Local model.
  5. 35:41 05Pinecone Members End-to-end with Pinecone Vector DB.
  6. 28:09 06Gemini Members Google Gemini Pro demo Text and vision.
  7. 25:51 07Invoices Members Multi-language invoice extractor Vision extraction.
  8. 15:38 08Chatbot Members Conversational Q&A chatbot With history.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.

AI EngineersSoftware EngineersSoftware DevelopersData ScientistsFull-Stack DevelopersMachine Learning EngineersComputer Science StudentsBackend DevelopersSoftware ArchitectsWeb DevelopersData Architects