Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Prompt Engineering: OpenAI Reasoning Models o1, o3 and o4
Rating: 4.6 out of 5(64 ratings)
307 students

Prompt Engineering: OpenAI Reasoning Models o1, o3 and o4

Reasoning Models with OpenAI & ChatGPT: Understand, Apply, and Optimize with Smart Prompt Engineering and Cost-Effective
Created byValentin Despa
Last updated 7/2025
English

What you'll learn

  • Understand reasoning model architecture
  • Compare standard GPT vs O-series models
  • Apply zero-shot prompting effectively
  • Which prompt engineering techniques are ineffective
  • Experiment with the OpenAI Playground
  • Select the best model per task

Course content

3 sections • 26 lectures • 2h 3m total length

  • Introduction5:13
  • Practical use-cases for reasoning models7:35

    OpenAI reasoning models o3 and o4 think before answering, enabling document analysis, expense report creation from receipts, contract review, and coding and research.

  • Basic terminology around AI10:56
  • LLM training and architecture: ChatGPT does not think4:31
  • Understanding tokens5:09
  • Evolution of OpenAI's Models (since ChatGPT)8:06

    Trace the evolution of OpenAI models from ChatGPT to reasoning models. Compare o-series and GPT models, context handling up to 125,000 tokens, and future advances toward faster, stronger reasoning.

  • What are Reasoning Models?2:52
  • Quiz

Requirements

  • ChatGPT Plus or Pro subscription
  • OpenAI account with billing enabled (for the OpenAI platform/API)

Description

AI is evolving fast — and if you're only using standard ChatGPT, you're already behind.

This course will introduce you to OpenAI’s reasoning models (o1 to o4) — a cutting-edge line of models built to think deeply, solve harder problems, and simulate real reasoning.

Whether you're coding, analyzing, researching, or building, knowing when (and how) to use these models is a superpower.


What You’ll Be Able to Do:


  • Understand what makes reasoning models fundamentally different from regular GPTs

  • Identify the right model for your task — o3, o4-mini, or GPT-4o.

  • Use build-in chain-of-thought prompting without needing to engineer it yourself

  • Work hands-on with math, code, documents, visuals

  • Compare OpenAI models with rivals like Claude and Gemini using real benchmarks

  • Predict where reasoning models are going (and how GPT-5 might change everything)


Why This Course Stands Out:


  • Go hands-on with real tasks: logic puzzles, document comparison, toolchain planning, multimodal reasoning, and more

  • Learn prompting strategies that work with the model’s built-in reasoning — not against it

  • See how the O-series models think before they "speak" — and how that leads to fewer mistakes and more insight

  • Get ahead of the curve before these capabilities become the new standard in AI interfaces

If you want to move past generic chatbots and start using AI that can analyze, reason, and reflect — this course is your entry point into the next frontier of intelligent systems.

The AI that thinks for real is already here.
The question is: Are you using it to its full potential?


Legal Disclaimer

This course is an independent educational resource and is not endorsed by, affiliated with, or associated with OpenAI, L.L.C., or any of its products or services. OpenAI, ChatGPT, and related marks are trademarks of OpenAI, L.L.C. All product names, logos, and brands mentioned in this course are the property of their respective owners.

This course contains promotional materials.

Who this course is for:

  • Software Professionals
  • Data Scientists & Analysts
  • AI/ML Enthusiasts & Tech Learners
  • Product Managers & Tech Leads

Report abuse