A 15-Week Course to Master AI in 2026

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Since ChatGPT was released, I’ve taken many courses to master AI

I took courses from Udemy, Coursera, Google, and more.

I put together a 15-week learning plan using the best resources I found, so you can start 2026 off on the right foot.

By the end of this post, you’ll know:

  • The 15-week course to master AI in 2026 (for non-technical people)

  • When to pay for AI education (and when not to)

  • How to join our private community (where you can get advice from me)

1. The 15-week course to master AI in 2026

The learning plan is split into two parts

Part 1: Master ChatGPT (Week 1 – 6)

My ChatGPT video course covers the first 6 weeks of the learning plan

👉 Get the video course for free here

The first sections of the course contain what every ChatGPT user should know

AI advances quickly, so I’ve added a list of guides and resources below to keep you updated (they’re a great complement to the video course). I’ll add more as ChatGPT rolls out new updates in 2026

Week 1: The very basics of ChatGPT

OpenAI has a free academy. Good for those completely new to ChatGPT

Week 2-3: How to write good prompts

The guides below are all about writing prompts that generate better responses

Week 4-5: ChatGPT Features

Basic features:

The best advanced features

  • Deep Research: Let ChatGPT autonomously search and gather information from dozens of sites and create a report for you

  • ChatGPT Agent: ChatGPT can take web actions on your behalf (go to sites, click buttons, scrolls, etc) and complete multi-step tasks from start to finish

  • Atlas: A nice replacement to Google Chrome

Week 6: GPT-5

Subscribe to get my weekly AI guides delivered to your inbox!

Part 2: Master AI (Week 8-15)

Once you know the foundations of ChatGPT, you have to: increase your AI literacy, know when to use other tools over ChatGPT, and learn how to use AI in your field.

AI literacy (Week 7-14)

AI literacy means knowing enough about AI to use it smartly. This includes: what AI can and can’t do, how to ask good questions, what data/privacy risks exist, when you should not rely on AI, etc

To start developing your AI literacy, pick one of the resources below:

AI courses for professionals

  • IBM AI for Everyone: Master the Basics: Learn what AI is by understanding its applications and key concepts (includes a free certificate)

  • Google Generative AI Course: Intro level course. It covers what Generative AI is, how it is used, and how it differs from traditional machine learning methods (check my notes here)

  • AI & Career Empowerment: It has two parts: AI in Business (AI literacy, marketing, supply chain, etc) and Career Empowerment (job search in the age of AI, being your own startup, and more). It includes a free certificate

  • HP’s AI for Business Professionals: A beginner-friendly course for professionals who want to leverage AI for enhanced productivity, decision-making, and career growth (includes a free certificate)

  • Google’s Generative AI Leader: It covers fundamentals of generative AI, Google Cloud’s gen AI offerings, techniques to improve gen AI model output and business strategies for a successful gen AI solution (the course is free, but to get the certificate, you need to pay a fee)

  • Google Prompting Essentials Specialization: Learn from Google experts how to use AI effectively by writing clear and specific prompts (check my notes here)

AI guides for professionals

Resources only for technical people

Remember: This is only a starting point. Building AI literacy should be an ongoing, never-ending process

Week 11-12: Learn Claude

Only one tool has earned a permanent spot alongside ChatGPT in my core workflow: Claude. I don’t use it as a replacement for ChatGPT, but as a complement

Week 13-14: Learn Gemini

Gemini stands out for the AI tools it powers, which enable features that ChatGPT and Claude don’t offer (or don’t match yet)

  • Gemini 3: An overview of what you can do with the new Gemini 3

  • Gemini Prompting: A quick-start handbook for effective prompts

  • NotebookLM Guide: A research tool that is grounded in your own documents (it hallucinates less than other tools)

Extras: Week 15 and beyond

From this point, you should learn things that are related to your field. Here are resources for some:

AI Images, Videos, and Visuals

The Tech Behind AI

Programming & Data Analysis

In my ChatGPT video course, you’ll find a section for programmers and analysts.

2. When to pay for AI education (and when not to)

When I was at university (and had no money), I used to search for free resources all over the internet. Here’s what I learned:

  • 95% of what you want to learn is available for free. The real problem is that it takes a lot of time to find resources that are actually good

  • The remaining 5% is too new or specialized to ever make it into free resources

Artificial Corner has hundreds of paid subscribers. They have access to:

  1. In-depth video courses (worth $200)

  2. Our private community, where you can get advice from other professionals and me

  3. My complete guides, with step-by-step videos, copy-and-paste prompts, AI workflows and more

If you don’t have the means, learn from what’s free out there (it’ll just take more time)
If you want to get a job or get proof of what you learned, pay for a course certificate
If you’re a busy professional or want to master AI faster, become a paid subscriber👇

3. Paid subs (annual plan): Get all my courses for free and join our private community

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