Most experts started last year.
Don’t let anyone convince you this isn’t for you.
I grew up far from tech hubs and shiny campuses.
Dial-up internet.
Borrowed books.
No shortcuts.
But I had something powerful—people who believed in me when I barely believed in myself.
Teachers who stayed late. Friends who shared notes they needed themselves.
Mentors who opened doors they didn’t have to open.
That generosity changed my life.
And it’s the reason I teach today.
I want you to feel what I felt at 20:
that you’re capable of more, even if the world hasn’t told you yet.
I’ve spent two decades working across continents with teams in data, AI, and product.
Not theory—real systems, real deadlines, real users.
And now we’re inside a rare moment where AI engineering is being rewritten in real time.
Most experts started last year. The field is new, open, and full of possibility.
My goal is simple:
make AI engineering clear, respectful, practical, and accessible—
especially for people who’ve been told this path isn’t for them.
In every video, course, or lesson, I’ll teach the way I wish someone had taught me.
Because sometimes all it takes is one person saying,
“You belong here.”
― On behalf of everyone who knows you can do this
Ankit Maheshwari
AI is moving faster than any field I’ve worked in. And most people who want to learn — especially beginners — are priced out of the education they need.
I’ve taught in those premium bootcamps.
They’re expensive for a reason — big teams, big operations, big overheads.
But the truth is simple:
Most beginners who want to learn… just can’t afford ₹2,00,000 or $5,000.
And I keep thinking about the 18-year-old me —
dial-up internet, borrowed books, no shortcuts.
He wouldn’t have made it through that paywall.
So the foundations — Python, AI apps, LangChain, roadmaps, core principles.
I give those away for free.
Because the basics can change someone’s direction.
The deeper, advanced stuff — real AI engineering projects,
agent systems, production patterns —
some of those will be paid.
Not to lock anything away, but because they take months to build
and are worth investing in when you’re ready.
You’ll never need money to start.
When you’re ready to grow, I’ll be here.
No expensive bootcamps. No gatekeeping.
Just clear, practical AI engineering — from zero to production.
For people brand new to:
– Python
– LLMs
– AI apps
– Engineering principles
“Start with the fundamentals — Python, thinking like an engineer, making your first AI-powered scripts. No pressure, no experience required.”
For people who know basics and want to start shipping:
– Real apps using Agentic AI frameworks
– AI workflows
– RAG
– Agents
– Production concepts
“Learn by building — real projects, real apps, real context pipelines. This is where your confidence grows.”
For people ready for:
– System design
– Agent architectures
– Graph-based memory
– Evaluation frameworks
– Production workflows
“Master the craft — build production-grade AI systems, optimize performance, and learn the engineering patterns used by top teams.”
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Comments like these inspire me to keep going. When someone says “I finally understand” or “you made it accessible” — that’s why I teach.
