Learn Artificial Intelligence from Scratch with the “AI A-Z” Course on Udemy
Artificial Intelligence has quickly moved from sci-fi to something we use every day—think Alexa, Netflix suggestions, or self-driving car tech. But if you’re a beginner or just curious about how AI works, where do you even start?
That’s where the Artificial Intelligence A-Z™: Learn How To Build An AI course by Kirill Eremenko comes in. With zero fluff and a ton of hands-on practice, it’s become one of the most accessible and affordable ways for complete beginners to get into artificial intelligence—without needing a Ph.D.
In this review, I’ll explain why this course is one of the top-rated AI programs on Udemy (more than 300,000 students enrolled!), what you can expect from the curriculum, and who it’s really for.
Let’s break it down.
Why This Beginner AI Course Stands Out
So many AI courses out there are heavy on theory but light on real-world application. What sets the Artificial Intelligence A-Z course apart is its strong focus on implementation. From the very beginning, you’re building real AI models that do actual tasks—not just reading slides.
Here’s what you get:
- 130+ video lectures (that’s 15.5 hours of content)
- 7 hands-on AI projects, including examples using deep Q-learning and reinforcement learning
- Intro to working with natural language processing using tools like GPT
- A practical, beginner-friendly pace that explains each concept step by step
- Lifetime access and a completion certificate for your resume or LinkedIn profile
Whether you want to add AI to your portfolio, improve your tech resume, or just ride the AI wave without drowning in math-heavy lectures, this course meets you where you are.
And here’s a bonus—Udemy often slashes prices to as low as $15.
👉 Tip: Watch the course’s preview videos on Udemy before you buy to see if Kirill’s teaching style works for you.
Who Is This AI Course Best For?
If you’ve never touched AI before and you have some basic knowledge of Python and high school math, this course is a great fit.
Specifically, it’s perfect if:
- You’re a beginner looking for a career in AI or data science.
- You’re a developer who wants to build smart tools and features.
- You’re curious and want to see how AI models really work instead of just reading about them.
On the flip side, if you’re already working in AI or are looking for an advanced, theory-heavy course, you might find the content too introductory. Courses like Andrew Ng’s AI Specialization on Coursera might be a better fit in that case.
What You’ll Actually Learn by the End
Here’s where the course shines: you don’t just learn “about” AI. You actually create intelligent systems, from scratch, using Python. You’ll walk away knowing how to:
- Build self-learning agents with deep Q-learning
- Apply convolutional neural networks (CNNs) in AI environments
- Work with decision-making algorithms using PPO, A3C, and SAC
- Integrate GPT-powered models for natural language projects
These are the same techniques powering gaming AIs, recommendation engines, and more.
The instruction walks you through not just theory but actual code, step by step, using Google Colab and Python—no complex setup required. It’s like having a developer mentor walk you through AI project labs.
“The hands-on projects made the difference. I understood concepts like reinforcement learning not through memorization, but by actually building something!”
(Source: Verified Udemy student review)
How Does It Compare to Other AI Courses?
If you’re doing your research (and you should), you may have considered some popular alternatives like:
- Andrew Ng’s AI Specialization (Coursera)
- Machine Learning A-Z (also by Kirill Eremenko on Udemy)
Here’s a quick comparison to help you decide:
| Feature | AI A-Z by Kirill (Udemy) | AI by Andrew Ng (Coursera) | Machine Learning A-Z (Udemy) |
|---|---|---|---|
| Best For | Beginners who want to build AI | Beginners seeking theory + broad ML | Beginners focused on data modeling |
| Projects | 7 real AI models | Few, more focus on lecture | Multiple ML setups |
| Theoretical Depth | Basic | Higher | Moderate |
| Duration | ~15.5 hours | ~25 hours | ~42.5 hours |
| Cost | ~$15 (discounted) | Free to audit / $ | ~$15–$20 (discounted) |
If you’re more interested in Machine Learning (vs. building agents that “think” and “plan”), Machine Learning A-Z might be your best fit. But for actual artificial intelligence—the kind powering games and chatbots—AI A-Z is the better entry point.
(Source: Course comparison compiled from Udemy and Coursera listings, 2024)
What Could Be Better?
No course is perfect. Here’s what some users didn’t love:
- The pace might feel slow if you already know Python fluently.
- There’s limited theory and little discussion of cutting-edge AI research.
- It’s based on Udemy video lectures; no real-time instructor interaction.
Still, most of these are minor considering the cost—especially since many competing AI programs cost hundreds more.
Pricing: High ROI for the Small Cost
Retail price: ~$99
Discounted on Udemy: Often as low as $12.99
That’s less than what you’d pay for a pizza or a movie ticket.
And it’s worth every penny. The projects you walk away with—functioning AI models—are excellent for portfolios, job interviews, or showcasing your skills.
Plus, Udemy has a 30-day money-back guarantee. No risk at all.
Final Thoughts: Is Artificial Intelligence A-Z Worth It?
Absolutely—if you want real, practical skills in AI without getting buried in theory or waiting for a semester to finish.
The Artificial Intelligence A-Z course is one of the best beginner AI courses because it’s fast, practical, and focused on giving you working experience—without overwhelming you.
It’s ideal if you’re looking for an affordable, beginner-level way to start your AI journey with real coding experience.
So, if you’re ready to start learning how real AI systems work—and build them yourself—this is the place to begin.
👨🎓 Published by an affiliate partner. Pricing is as listed at time of publishing and may vary. Learn more at Udemy.com.