Prompt Engineering with Python & the OpenAI API
Build 3 Real AI Apps in Python — Research Assistant, Production Chatbot, and Multi-Tool Agent | 25+ Notebooks
What you'll learn in this Udemy Course
- ✓ Connect to the OpenAI Responses API and make your first live API calls from Python
- ✓ Build structured JSON outputs that return reliable, parseable results every time
- ✓ Handle API errors gracefully using exponential backoff and rate limit strategies
- ✓ Design reusable prompt templates with roles, instructions, examples, and output format controls
- ✓ Track token usage and costs in real time using tiktoken and the API usage object
- ✓ Implement response caching and context window strategies for production applications
- ✓ Connect the AI to external tools and databases using the complete function calling workflow
- ✓ Build three real AI applications — a Research Assistant, Production Support Bot, and Multi-Tool Agent
Udemy Coupon Requirements
- Basic Python familiarity: classes, functions, loops, and importing libraries
- No prior Jupyter Notebook experience required — setup and usage are covered in Module 1
- No machine learning or AI background required
About This Udemy Coupon
- You'll complete three capstone projects, each one closing out a module after the concepts that make it possible have been taught.
- Research Assistant — Decomposes complex questions into sub-questions, investigates each one independently, and synthesizes the findings into a structured answer. Built using instruction chaining, personas, and advanced few-shot techniques.
- Production Support Bot — A fully functional support chatbot with budget controls, sliding window context management, and response caching. Built incrementally across two modules to show how production systems are actually assembled — not just demonstrated in a single notebook.
- Multi-Tool Agent — Connects to a live weather API and queries a real SQLite database using function calling. This is AI that interacts with the outside world through Python functions.
- API Fundamentals — Connect to the OpenAI API, configure your environment, and make your first calls using the Responses API. Understand model selection, token usage, and cost tracking from day one.
- Core Prompting — Zero-shot, one-shot, and few-shot prompting. Understand exactly how the model responds to different prompt structures and why it matters.
- Production Prompting — Structured JSON outputs for reliable parsing, error handling with exponential backoff, reusable prompt templates, and systematic prompt evaluation so you can measure whether your prompts are actually working.
- Advanced Prompting — Instruction chaining, role-based personas, advanced few-shot techniques, and self-consistency strategies for more reliable outputs.
- Production Patterns — Token counting and cost tracking with tiktoken, context window strategies for long conversations, and response caching to eliminate redundant API calls.
- Function Calling — The complete function calling workflow. Connect the AI to external tools, live APIs, and real databases so it can take actions in the world.
- Six modules. 25+ hands-on Jupyter notebooks. Each concept is taught in its own notebook with working code you can run, modify, and reuse. Each module closes with a capstone that puts everything you just learned into a real, deployable application.
- Basic Python familiarity — classes, functions, loops, and importing packages. Environment setup is covered in Module 1.
- You'll also need an OpenAI account with a minimum of $5 in API credit. That's more than enough to complete every exercise in the course using gpt-5-mini, the default model used throughout.
- Engineers adding AI capabilities to existing applications. Analysts automating workflows with Python. Technical leads evaluating how to integrate AI into their teams' work.
- Complete beginners to Python. If you're new to Python, build that foundation first — you'll get significantly more out of this course when you come back.
⚡ Limited Time Offer
Coupon valid until end of April 2026
Don't miss out — grab this IT & Software course before the coupon expires.
You save
$90.00
90% OFF original price
What is Prompt Engineering with Python & the OpenAI API?
Prompt Engineering with Python & the OpenAI API is a 6h online course on Udemy taught by Scott Barrett. It covers Prompt Engineering and is designed for learners who want to connect to the openai responses api and make your first live api calls from python . With 36 students enrolled and a 5 star rating, it is one of the top-rated courses in Prompt Engineering on Udemy. Use the coupon above to access it at 90% OFF ($9.99).
About the Instructor
Scott Barrett
Udemy Instructor · IT & Software Expert
Scott Barrett is an expert instructor on Udemy specializing in IT & Software. Their course "Prompt Engineering with Python & the OpenAI API" has helped 36 students master Prompt Engineering with a 5 star rating.
Course Information
Platform
Udemy
Instructor
Scott Barrett
Duration
6h
Language
English
Category
IT & Software · Prompt Engineering
Rating
Price
Last Updated
April 2026
Related Topics
Andrew Derek
Expert ReviewerAndrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.
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Frequently Asked Questions
Is there a discount for Prompt Engineering with Python & the OpenAI API?
Yes! Instead of paying $99.99, you can get Prompt Engineering with Python & the OpenAI API for just $9.99 with our verified coupon — saving you $90.00 (90% OFF) today.
How do I apply the coupon code?
Simply click the "Get Udemy Coupon" button on this page. The discount is applied automatically to your checkout link — no manual entry needed.
How long is Prompt Engineering with Python & the OpenAI API?
Prompt Engineering with Python & the OpenAI API is approximately 6h long. Udemy gives you lifetime access so you can learn at your own pace and revisit content anytime.
What will I learn in Prompt Engineering with Python & the OpenAI API?
In Prompt Engineering with Python & the OpenAI API by Scott Barrett, you will learn: Connect to the OpenAI Responses API and make your first live API calls from Python ; Build structured JSON outputs that return reliable, parseable results every time ; Handle API errors gracefully using exponential backoff and rate limit strategies . The course covers Prompt Engineering with 6h of hands-on content.
What is Prompt Engineering with Python & the OpenAI API?
Prompt Engineering with Python & the OpenAI API is a 6h online course on Udemy taught by Scott Barrett. It covers IT & Software with a 5 star rating from 36 enrolled students. Use our verified coupon to access it at $9.99 (90% OFF).