AI Engineering by Dr. Arun Kumar
🎉 Free 90-Minute Live Masterclass
May 7, 2026 @ 7:00 PM IST • Why 90% of AI courses fail engineers (and the 3-system framework that works) • 23 of 30 seats left
You've watched every AI tutorial. You still can't ship. This mentor-led program teaches software engineers to build production AI systems companies actually hire for.
Join 750+ engineers who've trained with Dr. Arun
💯 Satisfaction Guarantee
Complete all assignments and don't feel interview-ready within 90 days? We'll extend your access for free.
10+ years · 750+ engineers mentored
60-second intro from Dr. Arun
[Video coming soon]
Most engineers do not fail because they cannot learn AI. They fail because the path is noisy.
You are good at backend or frontend, but not sure how to position yourself for AI roles.
You keep watching tutorials, but still do not know what to build first and why.
You have notebooks, but not production-style AI systems you can confidently discuss.
You learn with someone who has built and taught this in the real world.
I am Dr. Arun Kumar. I have spent over a decade working across Data Science, MLOps, and GenAI systems. I have mentored 750+ learners and professionals.
My focus is simple: help software engineers build practical AI capability that translates into interviews, projects, and actual job outcomes.
This is not theory-heavy. It is build-focused and outcome-driven.
Foundation to application
Learn what matters and start implementing immediately.
End-to-end systems
Go from data and model to deployment and monitoring.
Engineering mindset
Use reproducibility, evaluation, and reliability in every project.
Career translation
Turn projects into role-ready proof for interviews.
Everything is tied to real-world AI Engineering outcomes.
Model lifecycle, data workflow decisions, evaluation, and system design fundamentals.
Prompting, retrieval patterns, orchestration, and guardrails for practical products.
Experiment tracking, serving, observability, and iteration loops for production.
Build portfolio-grade projects aligned with real engineering constraints.
Everything you need to transition from software engineer to hireable AI engineer
12 weeks × 2 sessions/week. Saturdays & Sundays, 90 minutes each. All sessions recorded.
Hands-on projects: MLOps pipeline, RAG system, fine-tuning, deployment. Get 1:1 code feedback.
Slack workspace for Q&A, peer learning, and alumni network. Stay connected after graduation.
Resume review, mock interviews, portfolio project guidance, and job search strategy.
All recordings, slides, code repos, and future curriculum updates. No expiration.
Not interview-ready after completing all work? We'll extend your access for free until you are.
Real outcomes from software engineers who made the transition
Rahul Sharma
Backend → ML Engineer
TCS → Flipkart
"Built an end-to-end MLOps pipeline in week 8. Used it in my Flipkart interview — got the offer after 4 years stuck in backend."
Priya Kulkarni
Frontend → AI Engineer
Infosys → Microsoft
"Zero ML background. Dr. Arun's clear system design approach got me confident enough to crack Microsoft's GenAI team interviews."
Amit Mehta
Java Dev → MLOps Engineer
Wipro → Razorpay
"The RAG system project alone taught me more than 50 YouTube videos. Career support helped me negotiate ₹28 LPA package."
Real feedback from engineers who wanted practical confidence, not more theory.
“I had ML basics but no deployment confidence. This helped me ship complete workflows and explain them clearly in interviews.”
“The structure changed everything. I stopped guessing and started building with purpose every week.”
“I finally understood AI Engineering beyond notebooks. Project feedback was the biggest differentiator.”
Seats are intentionally limited so feedback stays personal and implementation-focused.
Free Live Masterclass: May 7, 2026 @ 7:00 PM • 23 of 30 seats remaining
🔒 Secure payment · 💯 90-day guarantee · ♻️ Lifetime access
Yes. This program is designed for engineers transitioning into AI roles. We build from your software background.
No. The program is implementation-first with projects, systems thinking, and feedback.
Yes. You get guidance on role mapping, portfolio positioning, and interview communication.
Generic courses teach isolated concepts. This program teaches how to build and ship end-to-end AI systems.
We recommend 6–8 focused hours per week for strong outcomes.