Building apps with ChatGPT and Python: Build Intelligent AI Applications with ChatGPT, Python, APIs, and RAG

Varad G. Varadarajan (ConnectedWorld Technology Solutions)

$59.99

Video Jun 2026 1hr 22mins 1st Edition

Varad G. Varadarajan (ConnectedWorld Technology Solutions)

$59.99

Video Jun 2026 1hr 22mins 1st Edition

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Key benefits

Build AI applications with ChatGPT and Python.
Master prompt engineering and conversation management.
Create RAG-powered chatbots using external knowledge.

Description

Artificial intelligence is enabling applications to deliver intelligent and engaging user experiences. This course provides a practical introduction to building AI-powered applications with ChatGPT and Python. Through hands-on examples, you will learn how to integrate large language models into applications and create solutions that respond naturally to user needs. You will start by setting up the required tools and exploring the fundamentals of ChatGPT. Next, you will learn how to work with the ChatGPT API, handle common integration challenges, and build your first AI-powered application. The course then covers prompt engineering and conversation history management, helping you create more accurate, context-aware, and effective interactions. Practical demos reinforce each concept and demonstrate real-world implementation techniques. The course also introduces Retrieval-Augmented Generation (RAG), a powerful method for enhancing AI responses with external knowledge sources. You will build RAG-powered chatbots and business-focused assistants that deliver more relevant and reliable information. By the end of the course, you will have the skills to develop, customize, and extend AI applications using ChatGPT, Python, APIs, and RAG, giving you a strong foundation for creating intelligent solutions.

Who is this book for?

This course is designed for Python developers, software engineers, technical professionals, and technology enthusiasts who want to build AI-powered applications using ChatGPT and modern large language model technologies. It is ideal for learners looking to gain practical experience with API integration, prompt engineering, conversational AI, and Retrieval-Augmented Generation (RAG). A basic understanding of Python programming and general software development concepts is recommended, but no prior experience with artificial intelligence or machine learning is required.