The Complete Prompt Engineering for AI Bootcamp (2026) (Udemy.com)
Learn practical coding skills for working professionally with AI, including GPT-5, Veo3 & Flux
Created by: Mike Taylor
Last updated September 2026
Our take
Based on the ratings of 162,293 students, a sample of their written reviews and the syllabus, as the course stood in August 2026. No course pays to be reviewed.
Mike Taylor's bootcamp is a long, code-first tour of working with AI models. It runs about 18 hours across 172 lectures and 17 sections, starting with the five principles of prompting and a ChatGPT section, then moving into the OpenAI API, embeddings, agents, LangChain, LangGraph, evals, Flux image generation and a short Veo3 module. Despite the friendly All Levels label, the requirements say Python coding is required. Developers and technical AI users are the real audience. The syllabus shows no quizzes or coding exercises, so learning means watching and following along in notebooks.
Most of the praise is about clarity and variety. Reviewers describe the explanations as easy to follow, the modules as engaging, and the frameworks and projects as practical. About 145,000 of 162,000 ratings are four or five stars. The complaints are consistent too. Newcomers without coding experience say they got lost, and one calls the pace too fast. Others say the volume shifts between instructors, and one wants a better microphone. One reviewer thinks it leans so hard on ChatGPT that the title is misleading, and another wanted a non-Python option such as React.
The course was last updated in August 2026, when the author trimmed 2023-era Midjourney and Stable Diffusion material to focus on current tools. That matters in a field that ages fast. With around 420,000 students, it is a popular pick for the technical route. Anyone who just wants better ChatGPT answers will find much of it beside the point. For developers, it is a reasonable one-stop course. Beginners should start elsewhere.
Pros
- Covers the OpenAI API, embeddings, agents, LangChain and LangGraph in runnable Python notebooks
- Refreshed in August 2026, with older Midjourney and Stable Diffusion material cut
- Reviewers find the explanations easy to follow, even with limited AI background
- Adds image and video work with Flux and Veo3 beside the text models
Cons
- Python is required, and reviewers without coding experience felt lost
- Audio level and tone shift between instructors, and some find it hard to hear
- No quizzes or coding exercises, and some reviewers found the delivery too fast or lazy
Indeed, This course gave me complete briefing on Prompt Engineering of AI, Each module was interesting and kept me engaged
Listed for all levels, but Python is required and beginners in the reviews struggled.
What you will learn
- Learn the strengths and weaknesses of ChatGPT, GPT-5, Midjourney, GitHub Copilot, Veo3 & other major models.
- Recognize the "Five Principles of Prompting", as well as common tips & tricks for professional grade output.
- Apply what you’ve learned to generate new AI products in 20+ real-world projects for both text and image generation use cases.
- Understand the Python coding patterns and tooling you need to run and scale AI reliably in production, and start working as an AI Engineer.
Course content
17 sections · 172 lectures · 18 hours of video 2 articles
- 1Introduction 3 free previews8 lectures · 14 min
- 2Five Principles of Prompting 2 free previews6 lectures · 37 min
- 3How Does AI Work?2 lectures · 9 min
- 4Deep Dive on ChatGPT 2 free previews18 lectures · 1 hour
- 5Standard Text Model Practices14 lectures · 31 min
- 6OpenAI Features & Functionality - Coding16 lectures · 1.7 hours
- 7Retrieval, Embeddings and Vector Databases - Coding8 lectures · 1.3 hours
- 8Building AI Agents - Coding5 lectures · 1.2 hours
- 9Advanced Text Model Techniques - Coding 2 free previews11 lectures · 1.1 hours
- 10Deep Dive on LangChain - Coding17 lectures · 1.7 hours
- 11Deep Dive On LangGraph - Coding9 lectures · 1.2 hours
- 12AI Text Model Projects16 lectures · 2.1 hours
- 13Image Generation Techniques 1 free preview16 lectures · 1.1 hours
- 14Prompt Optimization & Evals8 lectures · 2.7 hours
- 15Agent Architectures - Coding8 lectures · 58 min
- 16Deep Dive on Google Veo37 lectures · 22 min
- 17Conclusion3 lectures · 7 min
Who it is for
The instructor says it suits
- AI power users who want to learn more advanced practices and learn to run Python code to use AI at scale.
- Developers interested in AI and hoping to learn how to get more reliable results in production.
- AI Engineers who want to keep up with the latest techniques and developments in the industry.
What you need before you start
- Python Coding Required
How it compares
Against the other 205 rated Udemy courses in Artificial Intelligence on CourseDuck:
- Rating4.5 out of 5higher than 58% of them
- Reviews162,293#1 of 206 by number of reviews
- Length18.1 hourslonger than 88% of them
- Last updatedSeptember 2026more recently than 97% of them
Course Description
Are you eager to dive into the world of AI and master the art of Prompt Engineering? The Complete Prompt Engineering for AI Bootcamp (2026) is your one-stop solution to becoming a Prompt Engineer working with cutting-edge AI tools like GPT-5, Veo3, and Flux!
We update the course regularly with fresh content (AI moves fast!):
**Updated August 2026 - "Trimmed 4+ hours of 2023-era content (Midjourney, Stable Diffusion, old model deep dives) to focus on current tools: ChatGPT, the OpenAI API, Flux on fal and Veo3."
**Updated March 2026 - "Added building AI agents, advanced retrieval techniques. Migrated all Jupyter Notebooks to OpenAI Responses API", Updated 150+ pieces of course content to the latest standards"
**Updated February 2026 - "Re-filmed the ChatGPT section, added group chats, files projects and sharing conversations"
**Updated August 2025 - "Google Veo3 full module (7 lessons), plus a one hour DSPy session with the Every team"
**Updated July 2025 - "ChatGPT - Chat Models vs Reasoning Models, ChatGPT - Study and learn, ChatGPT - Agent Mode"
**Updated June 2025 - " Flux Kontext image editing, Advanced Consistent Characters, ControlNet, Fine-Tuning with Lora"
**Updated May 2025 - "Run Flux AI through Fal, Text to Image as well as Inpainting and Outpainting"
**Updated April 2025 - "Responses API: Refreshed the OpenAI, embeddings section. Re-filmed 40+ videos. New intro video with up to date cuts and better opening"
**Updated March 2025 - "Added optimizer-evaluator pattern and re-filmed up old videos."
**Updated February 2025 - "Added new models and tools like deep research and native image gen."
**Updated January 2025 - "Added Agent Architectures, Memory + Scheduled Tasks in ChatGPT."
**Updated November 2024 - "Sammo introduction with metaprompting, minibatching and optimization."
**Updated October 2024 - "Anthropic Prompt Caching, Perplexity, Langwatch, Zapier."
**Updated September 2024 - "Google NotebookLM, Anthropic Workbench and content updates."
**Updated August, 2024 - "Mixture of Experts, LangGraph and content updates."
**Updated July, 2024 - "Five proven prompting techniques and an advanced prompt optimization case study."
**Updated June, 2024 - "LangGraph content including human in the loop, and building a chat bot with LangGraph."
**Updated: May, 2024 – "ChatGPT desktop, apps with Flask + HTMX, and prompt optimization DSPy, LM Studio"
**Updated: April, 2024 – "LangChain agents, LCEL, Text-to-speech, Summarizing a whole book, Memetics, Evals, DALL-E."
**Updated: March, 2024 – "More content on vision models, and evaluation as well as reworking old lessons."
**Updated: February, 2024 – "Completely reworked the five principles of prompting + added one pager."
**Updated: January, 2024 – "Added a one-pager graphic and fixed various errors in notebooks."
**Updated: December, 2023 – "Another 10 lessons, including creating an entire ebook and more LCEL."
**Updated: November, 2023 – "10 fresh modules, with 5 covering LangChain Expression Language (LCEL)."
**Updated: October, 2023 – "12 more lessons including GPT-V Vision, LangChain and more."
**Updated: September, 2023 – "10 more lessons, including projects, more LangChain, non-obvious tactics & SDXL."
**Updated: August, 2023 – "10 lessons diving deep into LangChain, plus upgraded 9 lessons from GPT-3 to GPT-4."
**Updated: July, 2023 – "built out the prompt pack, plus 10 more advanced technical lessons added."
**Updated: June 2023 – "added 6 new lessons and 4 more hands-on projects to apply what you learned."
**Updated: May, 2023 – "fixed issues with hard to read text mentioned in reviews, and added 15 more videos."
**Launched: April, 2023
Before we made this course we had both been experimenting with Prompt Engineering since the GPT-3 beta in 2020, and DALL-E beta in 2022, way before ChatGPT exploded on the scene. We slowly replaced every part of our work with AI, and now we work full time in Prompt Engineering. This course is your guide to doing the same and accelerating your career with AI.
*Since launching this course, Mike and James have been commissioned to write a book for O'Reilly titled "Prompt Engineering for Generative AI" which has sold over 10,000 copies!*
If you buy this course you get a PDF of the first chapter free! The book is complementary to the course, but with all new material based on the same principles that work.
Whether you're an aspiring AI Engineer, a developer learning Prompt Engineering, or just a seasoned professional looking to understand what's possible, this comprehensive bootcamp has got you covered. You'll learn practical techniques to harness the power of AI for various professional applications, from generating text and images to enhancing software development and boosting your creative projects.
! Warning !: The majority of our lessons require reading and modifying code in Python (for each lesson marked with "- Coding" in the title). Please don't buy this course if you can't code and aren't seriously dedicated to learning technical skills. We've heard from non-technical people they still got value from seeing what's possible, but please don't complain in the reviews ;-)
The number of papers published on AI every month is growing exponentially, and it’s becoming increasingly difficult to keep up. ChatGPT is the fastest growing consumer product in history, hitting 1 million users in less than a week and 100m in a few months.
This course will walk you through:
Introduction to Prompt Engineering and its importance
Working with AI tools such as ChatGPT, GPT-5, Flux, Veo3, and other top models
Understanding the capabilities, limitations, and best practices for each AI tool
Mastering tokens, log probabilities, and AI hallucinations
Generating and refining lists, summaries, and role prompting
Utilizing AI for sentiment analysis, contextualization, and step-by-step reasoning
Techniques for overcoming token limits and meta-prompting
Advanced AI applications, including inpainting, outpainting, and progressive extraction
Leveraging AI for real world projects like generating SEO blog articles and stock photos
Advanced tooling for AI engineering like Langchain and DSPy
Instructor Details
- 4.5 Rating
162,293 Reviews
Mike Taylor
I work as the Head of AI Evals at Every, helping the team build benchmarks to professionally test new models from all the major labs, as well as designing the system that optimizes skills for our self-improving AI agent product. I have been an AI engineer since the GPT-3 beta in 2020, and have written two books for O'Reilly on Context Engineering with DSPy and Prompt Engineering for Generative AI. Over 400,000 people have taken my AI courses on Udemy. Previously I co-founded and built a 50 person growth agency, responsible for operations, data science, and technology teams.
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Reviews
By PREET GOSAI on 8/19/2026
Amazing experience of taking this course, I learned a lot about the prompt engineering techniques, principles, image generation, video generation etc.. The coding in prompt engineering was pretty amazing and learned a lot from it as I am excited to share this prompt coding techniques in my software projects to make them the best.
By PRAMIT KUMAR BOHIDAR on 8/5/2026
Yes it's a good match for a role i play where prompt engineering is so important factor . Very detailed discussion and topic were covered in this , so thanks for sharing those details
By Hector Barrera on 7/30/2026
The Complete Prompt Engineering for AI Bootcamp (2026) is a practical and engaging course that goes beyond basic prompting. It provides clear frameworks, real-world examples, and hands-on exercises to improve interactions with AI models. A valuable resource for anyone looking to build effective prompt engineering skills and unlock more consistent AI-driven results.
By Hieu Le Au on 7/17/2026
While the lessons are heaving in coding, the presenter breaks it down in slices which allows the user to understand the pieces that can apply to their own work. There is also a good breakdown in the use of different models and their strong suits and weak points. Overall, while I myself don't need such a in depth breakdown of coding and databased, there are many great points in the framework of how agentic AI works with clear and concise explanations on the process in order to develop succinct prompts and train effective agents for your use case.
By Rostyslav on 6/30/2026
Overall: course covers interesting topics but feels raw. In 14` screen text from code editor is to small, very hard to read, nearly impossible. While tutor`s display is half empty. Should be scaled, definitely. I start to fall asleep after a while, watching the random teleporting back and forth in the code and listening to the monotonous comments. Scrolling long documents 5 times a minute is irritating. Cursor`s waving over all screen and highlighting part of text for one second seems to be useless, does not improve learning experience. Notebooks(ipynb) are on github - its good. But also would be cool to have review documents (cheat sheet, compendium, slides) to emphasize the most important and help to revise. Waiting for the tutor to sneeze and scratch is not appropriate for a video course. This should be cut. Thanks for the course.
By Tiago do Amaral Rodrigues on 6/20/2026
It's a very thorough course, which is interesting for a subject which has developed so quickly in so little time. The instructors are very knowledgeable in many different aspects of both using LLMs as a nontechnical users and in the minutiae of interacting programmatically with the OpenAI (and one surmises other) client. Overall a very good experience.
By Steve E Carlson on 6/8/2026
James Phoenix's AI coding lessons were like learning AI from the end of a machine gun. While the content was excellent, they were so rapid and edited down to remove any pause or break it that it was almost impossible to follow or absorb (even painful to view).
By Carlos Izquierdo Santana on 6/6/2026
Es un curso excelente, lástima que tenga que verlo con prisa, pero definitivamente voy a regresar a consultarlo varias veces porque todo lo que enseñan acerca de los modelos de GenIA está super bien detallado.
By Jean-Francois Hammond on 5/25/2026
Thanks for this course. Now I understand what it means to talk about AI usage. I still need to review the course from the perspective of a senior software developer in the medical and imaging domains. I did not succeed in running all the example code because the OpenAI API and models change a lot in a short time.
By Andre Navarro on 4/8/2026
The course is led by very knowledgeable instructors and covers a wide range of prompt engineering concepts in depth. The quality of teaching is strong, but the amount of material makes it quite intense, and without enough hands-on practice it’s challenging to gauge how much will be retained long term. More structured exercises and practical experimentation would have made a big difference, especially using non‑paid language models where the focus is on learning concepts rather than production usage. Overall, this is a high-quality and informative course, but it would benefit from more opportunities to apply the material in practice.
Quality Score
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Overall Score : 90 / 100







