Master LangChain: Build AI Apps with Slack

Learn Real-World AI Projects Using LangChain, OpenAI, and DeepLake Vectorstores in Python

Hello there, future AI developers! Welcome to a course designed to turn you into an AI powerhouse. You’re in the right place if you’re looking to build real-world applications using Large Language Models (LLMs) like GPT-4.

What you’ll learn

  • Master LangChain Fundamentals: Gain a deep understanding of LangChain’s architecture and components, enabling you to build versatile AI applications..
  • Hands-On AI Projects: Acquire practical skills by building real-world Slack applications like ChatGPT bots and Financial Analysis Systems..
  • Data Integration Mastery: Learn to seamlessly integrate Large Language Models with Vector Databases like DeeoLake for data-driven AI solutions..
  • Deployment Expertise: Equip yourself with the know-how to deploy AI applications to production, ensuring they are scalable and maintainable..

Course Content

  • Understanding Large Language Models –> 9 lectures • 39min.
  • Building AI Slack Applications –> 5 lectures • 50min.
  • Understanding How Langchain Works –> 11 lectures • 2hr 20min.
  • Deploying Slack AI Application to AWS Lambda –> 4 lectures • 1hr 6min.

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Requirements

Hello there, future AI developers! Welcome to a course designed to turn you into an AI powerhouse. You’re in the right place if you’re looking to build real-world applications using Large Language Models (LLMs) like GPT-4.

 

Course Modules:

  • Introduction to LangChain: Understand the architecture and components of LangChain.
  • Working with LLMs: Learn how to interface with models like GPT-4 and HuggingFace.
  • Data Connections: Dive into connecting your LLMs with Vector Databases like ChromaDB.
  • Building Slack Apps: Step-by-step guides on creating various Slack applications, each serving a unique purpose.
  • Deployment: Master the art of deploying these applications to a production environment.

By the end of this course, you’ll have a portfolio of real-world projects and the skills to build AI applications that are ready for production.

 

Why This Course?

Comprehensive Coverage: This course takes you through the entire process of building AI applications, starting with the basics of LangChain and progressing to advanced implementations.

Hands-On Projects: You’ll get practical experience by building various Slack applications, including a ChatGPT bot, a Financial Analysis System, a Movie Trivia App, and a Document Chatbot.

Industry-Ready Skills: Learn how to integrate LangChain with Vector Databases like FAISS and Deeplake and how to deploy your applications to production environments.

Ongoing Support: The course will be updated regularly with new content and capabilities, ensuring you stay ahead of the curve.