Prompt Engineering: Build AI Apps with Python — 93% OFF Coupon

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

★5.0 out of 5
176 students
Created by Scott Barrett
English
Updated May 2026

Quick Facts — Prompt Engineering: Build AI Apps with Python Overview

Here's a quick overview of everything you need to know about Prompt Engineering: Build AI Apps with Python before you enroll:

•Course Name: Prompt Engineering: Build AI Apps with Python
•Platform: Udemy
•Instructor: Scott Barrett
•Coupon Last Verified: May 4, 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 $149.99). You save $140.00 with 93% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master in This Course

By the end of Prompt Engineering: Build AI Apps with Python, 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.

Prerequisites for This Course

Before enrolling in Prompt Engineering: Build AI Apps with Python, 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: Build AI Apps with Python 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: Build AI Apps with Python Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: May 4, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Prompt Engineering: Build AI Apps with Python 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 93%, from $149.99 to $9.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 93% 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 176 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: Build AI Apps with Python:

  • 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: Build AI Apps with Python has earned an aggregate rating of 5.0 out of 5 from 176 verified student reviews on Udemy. Below is the detailed rating distribution showing learner satisfaction across all star levels.

5.0
★★★★★
176 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.

About the Instructor — Scott Barrett

Prompt Engineering: Build AI Apps with Python 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: Build AI Apps with Python, 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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