Most people don’t fail at AI because they’re not smart. They fail because their learning stays stuck in a loop: videos → notes → more videos → more notes.
AI doesn’t reward note-taking. It rewards building.
That’s why I’m running a Free Saturday AI Engineering Workshop (Live)—a practical session for AI enthusiasts, IT professionals, fresh graduates, and career switchers who want to move from “I know the concepts” to “I can ship working AI systems.”
What this workshop is (and what it’s not)
This is not a motivational talk.
This is not a theory-only lecture.
This is not “copy paste a notebook and call it a project.”
This is a builder-style workshop where we focus on the engineering workflow behind real AI systems:
turning a problem into an implementable approach
choosing the right components (data / models / LLMs / retrieval / agents) based on constraints
building a working prototype
packaging it (API/UI)
deploying it (so it actually runs outside your laptop)
Who should attend
AI enthusiasts who want hands-on practice
Developers moving into AI Engineering
Fresh graduates building job-ready portfolios
Professionals who want a weekend build habit with guidance
Why I’m doing these sessions for free
Because the “AI learning market” is noisy.
The fastest way to prove value is to let you experience the build-first approach live.
Also, these free workshops are a preview of my flagship program:
The next step: 3-Month AIML Program (12 Weekends)
The free workshop is the spark. The 12-week program is the structure.
In the 3-month AIML Program, we go deep with:
a clear curriculum path (foundations → projects → deployment)
mentorship and feedback loops
portfolio-grade capstones
repeatable templates for building AI tools in the real world
If you attend a Saturday workshop and think, “This is exactly how I want to learn,” the 12-week program is built for you.
How to join the Free Saturday Workshop
Here is the registration link - https://learn.aipathfinderhub.com/l/0c555410f7
Use the coupon code WRKSHP01 and get the free registration.
Build one thing each week, and in a few months you’ll have something most learners never get:
proof you can engineer AI, not just talk about it.
