Free Download OpenAI APIs Pro with Python Mega Build Generative AI Apps
Published 8/2026
Created by ACHRAF ER-RAYA
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels |
Genre: eLearning |
Language: English |
Duration: 11 Lectures ( 3h 8m ) |
Size: 1.7 GB
Build Generative AI applications with Python and the Master OpenAI API, from secure prompts to a working chatbot.
What you'll learn

Establish secure connections to the OpenAI API using Python for robust, production-ready AI applications.

Master prompt engineering frameworks to guarantee predictable, structured JSON outputs every time.

Calculate token usage and choose the right GPT models to minimize API costs and optimize latency.

Build and deploy a fully functional, context-aware AI chatbot with persistent conversation memory.
Requirements

Basic understanding of Python programming (variables, loops, basic functions, and API requests).

A free OpenAI account (a small budget of $2-$5 is recommended for hands-on API usage during the course).

No prior machine learning, advanced mathematics, or AI experience is required.
Description
"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 scripts

A 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.
Who this course is for

Python developers and data analysts who want to transition from basic scripting to building intelligent, scalable generative AI applications. It is also highly valuable for tech professionals frustrated by confusing AI documentation who need clear, structured engineering principles to confidently automate workflows and deploy AI features.
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