AI Apps with ChatGPT and LangChain: The Introduction

Course Provided by:Kris Celmer
Course Taken on: Udemy
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Description

ChatGPT revolutionises businesses, how we work and greatly influences our lives. It is much more than a famous Web and mobile applications everyone is using now. Its creators recently released a publicly available API enabling creation of sophisticated AI Apps utilising the power of GPT models to most difficult Natural Language Processing tasks and beyond.

This course aims at Python developers to teach how to harness the power of latest and greatest Large Language Models in custom, innovative applications, how to interface existing data in various formats with ChatGPT available through the API.

You will learn the magic of LangChain - the Python Library delivering ever growing ecosystem of tools and integrations necessary to build the AI Apps. LangChain offers not only convenient wrappers around ChatGPT model APIs, but has plenty of ready-made classes and functions facilitating creation and use of Chat Memory, Vector DBs for semantic search of relevant documents, and blueprints of powerful Agents, capable of using Python functions in your environment to get access to local, proprietary data.

The course is very practical and consists of dozens of practical demonstrations of Python code solving various AI tasks. You will get detailed, precise and in-depth explanation of all presented concepts and algorithms.

All of the code used in the course is available for your download from GitHub repository. You can use it as a basis to further exploration and experimentation leading to quick and easy development of real-life AI Apps.

Requrirements

Python programming, virtual environments, PIP, Jupyter notebooks,Basic Command Line skills,Git commands and GitHub

Course Includes

  • 6.5 hours on-demand video
  • 1 article
  • Access on mobile and TV
  • Full lifetime access
  • Certificate of completion

Course Reviews

  1. The course is comprehensive. The presenter communicates clearly and doesn't waste time with useless slides. The code examples are great and explained in depth. Would highly recommend this course for anyone wanting to learning LangChain.
  2. Very good practical examples. Notebooks with Python code look good. I have to download course materials and try it myself.
  3. I think the material is quite challenging, but the instructor is very good at explaining it.
  4. Very good course. Lots of practical examples