Prompt Engineering with Python & the OpenAI API — 90% OFF Discount Coupon

Build 3 Real AI Apps in Python — Research Assistant, Production Chatbot, and Multi-Tool Agent | 25+ Notebooks

★5.0 out of 5
36 students
Created by Scott Barrett
English
Updated April 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Prompt Engineering with Python & the OpenAI API before you enroll:

•Course Name: Prompt Engineering with Python & the OpenAI API
•Platform: Udemy
•Instructor: Scott Barrett
•Coupon Last Verified: April 1, 2026
•Level: All Levels
•Topic: IT & Software
•Subtopic: Prompt Engineering
•Total Time: 6h of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: 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
•Requirements: Basic Python familiarity: classes, functions, loops, and importing libraries · No prior Jupyter Notebook experience required — setup and usage are covered in Module 1
•Current Price: $9.99 (was $99.99). You save $90.00 with 90% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By the end of Prompt Engineering with Python & the OpenAI API, you'll have these practical skills:

✓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.

What You Need Before Starting

Before enrolling in Prompt Engineering with Python & the OpenAI API, make sure you have:

•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 Course

The following is the full official course description for Prompt Engineering with Python & the OpenAI API as published on Udemy by instructor Scott Barrett:

The API is where real applications are built. This course is how you get there.

This course is for Python developers who are ready to move from experimenting with AI to actually building with it. You'll work directly with OpenAI's modern Responses API — the one OpenAI recommends for all new projects — writing real code that connects to real tools and produces real results.

WHAT YOU'LL BUILD
  • 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.

WHAT YOU'LL LEARN
  • 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.

HOW THE COURSE IS STRUCTURED
  • 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.

PREREQUISITES
  • 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.

WHO THIS COURSE IS FOR
  • Engineers adding AI capabilities to existing applications. Analysts automating workflows with Python. Technical leads evaluating how to integrate AI into their teams' work.

WHO THIS COURSE IS NOT FOR
  • 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.

Compare Similar Courses

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Is the Prompt Engineering with Python & the OpenAI API Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: April 1, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Prompt Engineering with Python & the OpenAI API is a high-value resource for learners seeking to build skills inIT & Software. Taught by Scott Barrett on Udemy, the 6h course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 90%, from $99.99 to $9.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 90% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 5.0 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 36 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Prompt Engineering with Python & the OpenAI API:

  • The depth of IT & Software coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Prompt Engineering with Python & the OpenAI API Course holds an aggregate rating of 5.0 out of 5 based on 36 student reviews on Udemy.

5.0
★★★★★
36 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Scott Barrett, the instructor responsible for creating and maintaining Prompt Engineering with Python & the OpenAI API on Udemy.

Prompt Engineering with Python & the OpenAI API is taught by Scott Barrett, a Udemy instructor specializing in IT & Software. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Scott Barrett
•Subject Area: IT & Software
•Teaching Approach: Practical, project-based instruction focused on real-world application of IT & Software skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Prompt Engineering with Python & the OpenAI API, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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