Published 5/2025
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 10m | Size: 566 MB
Launch your own AI chat Assistant from scratch using Python and OpenAI to generate real AI responses using OpenAI API
What you’ll learn
The fundamentals of AI text generation using OpenAI’s GPT models
How to set up your Python development environment
Understanding and managing the OpenAI API, including API keys and usage limits
Crafting effective prompts for more accurate and relevant responses (prompt engineering)
Building a functional chatbot that can process input and return intelligent replies
Handling edge cases, user errors, and refining chatbot behavior
Best practices for testing, scaling, and maintaining your chatbot over time
Requirements
Access to the internet and the ability to sign up for an OpenAI account to obtain an API key
Familiar with Python programming
A computer for practice
No prior experience with AI, machine learning, or natural language processing is required—just a willingness to learn and build!
Description
Welcome to “Build AI Chat Assistant Using Python & OpenAI from Scratch”—a practical, hands-on course designed to help you develop your very own AI-powered chat assistant for text-based conversations. Whether you’re a budding Python programmer, a data science enthusiast, or a software developer eager to explore AI and NLP, this course gives you all the tools you need to build a conversational assistant from the ground up using Python and OpenAI’s GPT-based language models.In this course, we focus entirely on generating human-like text responses—perfect for building an intelligent, interactive chatbot that can answer questions, simulate conversation, write content, or assist users through a simple interface.Throughout the course, we will break down complex concepts into digestible, practical lessons. You’ll learn how to interface with the OpenAI API, manage prompt engineering, build a functional backend with Python, and optionally wrap it with a user-friendly interface like a command-line app or simple web front end. You won’t just be copying code—you’ll understand how everything fits together to create a responsive, reliable chat assistant.We are going to cover the following in the course:The fundamentals of AI text generation using OpenAI’s GPT modelsHow to set up your Python development environmentUnderstanding and managing the OpenAI API, including API keys and usage limitsCrafting effective prompts for more accurate and relevant responses (prompt engineering)Building a functional chatbot that can process input and return intelligent repliesHandling edge cases, user errors, and refining chatbot behavior(Optional) How to add a simple command-line or basic web interface to interact with your chat assistantBest practices for testing, scaling, and maintaining your chatbot over timeWe’ll also walk through practical use cases and discuss ethical considerations of deploying AI-based conversational agents, particularly around privacy, bias, and user trust.This course is designed to be approachable, even if you’ve never worked with AI APIs before. By the end, you’ll have a working chatbot powered by real AI, along with the knowledge and confidence to continue building more advanced conversational tools.
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