A few months ago, I noticed a pattern.
Every time I wanted to learn a new technology, I'd end up doing the same thing. I'd search YouTube, compare Udemy courses, read Coursera reviews, skim Reddit threads, and spend far more time deciding how to learn than actually learning.
Ironically, having thousands of courses available made choosing one harder.
That's when I decided to try something completely different.
Instead of buying another course, I used Fenzo.ai, an online course creator to generate one specifically for what I wanted to learn.
I expected a decent AI-generated tutorial.
What I got felt much closer to a real course.
It also made me rethink whether searching massive course catalogs will remain the default way we learn new technical skills.
We Don't Have a Course Problem
The internet has no shortage of educational content.
Whether you're learning Python, Docker, Kubernetes, system design, AWS, or machine learning, there are hundreds of excellent courses available. Many of them are created by instructors who have spent years refining their explanations and improving their curriculum.
The problem isn't quality, it's is fit. Every learner arrives with different goals. Some people are complete beginners. Others only need to fill one knowledge gap. Some want interview preparation. Others want to build a side project.
Yet everyone is asked to choose from the same collection of predefined courses.
That's a difficult problem for any marketplace to solve.
Why I Tried an Online Course Creator
Curious about whether there was another approach, I decided to try Fenzo.ai, an online course creator that builds complete interactive courses around the topic you want to learn.
To properly evaluate it, I generated two very different technical courses.
One covered Python fundamentals.
The other focused on Claude Code workflows.
I deliberately picked subjects I already knew reasonably well because I wasn't trying to judge whether the content was technically correct. I wanted to see whether the curriculum itself made sense, whether the lessons flowed naturally, and whether the overall learning experience felt thoughtfully designed.
Going into the experiment, I assumed I'd receive something resembling a long AI-generated article.
Instead, I found structured courses with logical progression, practical exercises, quizzes, interactive widgets, and clear learning objectives.
The experience was much closer to working through a real online course than I expected.
The Curriculum Changed With the Topic
The biggest surprise wasn't that AI could explain programming concepts.
We've known for a while that modern language models are capable teachers.
What impressed me was that the curriculum itself changed depending on what I wanted to learn.
The Python course naturally focused on programming fundamentals, variables, functions, debugging, collections, modules, and practical scripting.
The Claude Code course looked completely different. Instead of programming syntax, it emphasized repository workflows, Git integration, permissions, debugging loops, verification strategies, and terminal productivity.
The structure wasn't reused.
The learning path itself adapted to the learning objective.
That feels like a much bigger innovation than AI simply generating explanations.
Interactive Learning Makes a Difference
One thing I appreciated almost immediately was that the courses weren't just pages of generated text.
They included interactive coding exercises, quizzes, diagrams, command walkthroughs, and small activities that encouraged me to apply concepts before moving on.
That made the experience feel much more active.
Reading about debugging is useful.
Actually debugging a broken example is far more memorable.
The same applied throughout both courses. Rather than simply consuming information, I was constantly switching between reading, experimenting, testing, and verifying my understanding.
For technical subjects, that's a much more natural way to learn.
Traditional Courses Can't Change Once They're Published
One challenge every online course platform faces is that technology moves incredibly fast.
- Programming languages evolve.
- Frameworks release major versions.
- Developer tools change.
- Documentation improves.
Updating a traditional course usually means recording new videos, rebuilding projects, replacing screenshots, and publishing an updated edition.
That's a slow process.
An online course creator approaches the problem differently.
Because the curriculum is generated dynamically, it has the potential to evolve alongside the technologies it's teaching rather than waiting months for a new production cycle.
For fast-moving technical topics, that's a meaningful advantage.
The Course Doesn't Have to End When You Get Stuck
One thing that stood out while working through both courses was how naturally AI can become part of the learning experience.
With traditional online learning, confusion usually sends you somewhere else.
You open ChatGPT.
You search Google.
You read documentation.
You watch another YouTube video.
You're constantly leaving the course to continue learning.
An AI-powered online course creator has the potential to keep that conversation inside the lesson itself.
Instead of switching tools, you can ask follow-up questions, request another explanation, generate additional examples, or create extra practice exercises without breaking your learning flow.
That feels much closer to learning with a tutor than watching prerecorded videos.
Learning Becomes Easier to Share
Another feature I ended up using more than I expected was sharing insights directly from the course.
Initially, I thought it was simply another social feature.
After using it, I realized it actually reinforced what I had learned.
Writing a short explanation for LinkedIn forced me to organize my thoughts and identify the concepts that mattered most. Rather than posting another completion certificate, I found myself sharing practical ideas that other developers could immediately use.
It's a small feature, but it encourages reflection instead of passive consumption.
Where Traditional Platforms Still Excel
After using an online course creator, I don't think traditional learning platforms suddenly become obsolete.
Far from it.
Experienced instructors still bring years of teaching experience, polished production quality, carefully designed projects, and real-world insights that AI can't easily replace.
I don't think these two approaches compete directly.
I think they solve different problems.
| Traditional Online Courses | AI Online Course Creator |
|---|---|
| Fixed curriculum | Personalized curriculum |
| Same path for every learner | Generated around your goals |
| Updated manually | Can evolve with changing technology |
| Static projects | Interactive generated activities |
| Large course marketplace | Courses created on demand |
| Separate AI tools | AI integrated into learning |
Sometimes you want a flagship course from an expert.
Other times you want a course built specifically around what you're trying to accomplish this week.
Both experiences have value.
My Biggest Takeaway
What surprised me most wasn't that AI could generate educational content.
It was that it changed how I think about finding educational content in the first place.
For years I've started every learning journey by asking:
"Which course should I buy?"
After experimenting with an online course creator, I think the better question might be:
"What course do I want to create?"
That shift feels much more significant than AI simply writing lessons.
It's a completely different way of thinking about online education.
Final Thoughts
I'm not giving up on traditional online courses.
I'll continue taking courses from instructors I respect because great teaching is incredibly valuable.
But I also don't think the future of online learning is simply larger marketplaces with more courses.
After generating two different technical courses with Fenzo.ai, I came away convinced that personalized, AI-generated curricula are going to become an important part of how developers learn new technologies.
The future may not be choosing the best course from a catalog.
It may be generating the best course for your own learning goals.
And after trying an online course creator for myself, that future feels much closer than I expected.
Top comments (0)