AI Apps with ChatGPT and LangChain: The Introduction

Building Generative AI applications with powerful Large Language Models

What you'll learn
Build Python applications using ChatGPT API to perform Natural Language Processing tasks, understand large text bases and plan complex actions.
Understand how to use Large Language Models in AI Apps, how to prepare inputs, call GPT API endpoints and process outputs.
Manage Memory of conversation and build text based knowledge repositories enabling sophisticated, intelligent Question & Answer systems.
Deploy most recent LLM skills of using Tools and local Functions to develop complex, reasoning Agents capable of solving real life problems.
Build Chat applications to converse with PDF or HTML documents and Source Code, perform ad hoc Data Analysis with Pandas dataframes or SQL databases.
Develop intuitions about how all these works and can be applied to solve real tasks.
Learn latest and greatest Python libraries to build LLM enabled applications, including the famous LangChain.
Requirements
Python programming, virtual environments, PIP, Jupyter notebooks
Basic Command Line skills
Git commands and GitHub
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.
Who this course is for:
Developers wishing to kick off their career into orbit by learning bleeding edge skills of creating Generative AI applications
Python programmers curious about inner workings of ChatGPT and Plugins
System Architects investigating applicabilities of Generative AI and LLMs in Business Applications



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