OpenAI APIs Pro with Python Mega: Build Generative AI Apps

About this course

“This course contains the use of artificial intelligence.”

Build a real Generative AI application with Python and OpenAI—without getting lost in machine-learning theory.

This course is for:

• Python beginners who want a practical GenAI portfolio project
• Junior developers building their first OpenAI API application
• Data analysts and automation specialists who want to automate text-based work
• Freelancers who want to offer AI-powered workflow solutions
• Technical creators who want to move beyond manual ChatGPT use

What you will learn:

• Explain how LLMs and GPT models generate responses
• Select a model using quality, speed, and cost criteria
• Set up the OpenAI API securely in a Python project
• Protect API keys using environment variables
• Write prompts with role, task, context, constraints, and output format
• Generate structured, reliable AI responses
• Build practical text-generation and extraction workflows
• Handle common API errors and invalid inputs
• Test AI outputs with realistic user scenarios
• Build and document a customer-support chatbot portfolio project

Requirements:

• Basic Python knowledge: variables, functions, packages, and running scriptsA computer with Python installed
• An OpenAI API account with available billing or credits
• Curiosity and willingness to test, improve, and document your work

Final project:

You will build a Python customer-support chatbot that uses approved policy context, returns controlled responses, handles common failures, and includes ten test cases plus a professional README. By the end, you will have a shareable project that demonstrates practical GenAI application-development skills.

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.