Openai Reasoning Models: O1, O3 And O4
Published 6/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 744.63 MB | Duration: 2h 4m
Published 6/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 744.63 MB | Duration: 2h 4m
Reasoning Models with OpenAI & ChatGPT: Understand, Apply, and Optimize with Smart Prompt Engineering and Cost-Effective
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
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 GPTsIdentify the right model for your task — o3, o4-mini, or GPT-4o.Use build-in chain-of-thought prompting without needing to engineer it yourselfWork hands-on with math, code, documents, visualsCompare OpenAI models with rivals like Claude and Gemini using real benchmarksPredict 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 moreLearn prompting strategies that work with the model’s built-in reasoning — not against itSee how the O-series models think before they "speak" — and how that leads to fewer mistakes and more insightGet ahead of the curve before these capabilities become the new standard in AI interfacesIf 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?
Overview
Section 1: Introduction to GenAI, GPT and reasoning models
Lecture 1 Introduction
Lecture 2 Practical use-cases for reasoning models
Lecture 3 Basic terminology around AI
Lecture 4 LLM training and architecture: ChatGPT does not think
Lecture 5 Understanding tokens
Lecture 6 Evolution of OpenAI's Models (since ChatGPT)
Lecture 7 What are Reasoning Models?
Section 2: OpenAI reasoning models & capabilities
Lecture 8 Available reasoning models
Lecture 9 OpenAI account
Lecture 10 Model overview: o1, o3, o4
Lecture 11 [Optional] OpenAI o1 – The first reasoning model
Lecture 12 Verifying your OpenAI account
Lecture 13 [Optional] OpenAI o3
Lecture 14 [Optional] OpenAI o4
Lecture 15 Guided Exercise (standard vs reasoning)
Lecture 16 Visual reasoning
Lecture 17 GPT vs reasoning models
Lecture 18 Guided Exercise - Standard GPT vs Reasoning side by side
Section 3: Prompting techniques for reasoning models
Lecture 19 Rethinking prompt engineering
Lecture 20 Voice, Role and Tone
Lecture 21 Ask-First Prompting
Lecture 22 Zero-Shot Prompting
Lecture 23 Few-shot Prompting
Lecture 24 Chain-of-Thought (CoT) Prompting
Lecture 25 Meta-Prompting
Lecture 26 Common mistakes when prompting reasoning models
Software Professionals,Data Scientists & Analysts,AI/ML Enthusiasts & Tech Learners,Product Managers & Tech Leads