From raw data to production-grade models
A career-first pack that takes you from Python fundamentals to deploying machine learning systems companies actually pay for. Built around six stacked skills, weekly mentor rooms and portfolio-grade projects.
4.8
Rating
6,000+
Enrolled
6-8 months
Duration
₹6L - ₹24L per year
Salary
Every skill in this pack is sequenced so the next one builds on the last.
Python
Included track
Machine Learning
Included track
Deep Learning
Included track
SQL & Analytics
Included track
MLOps
Included track
Data Storytelling
Included track
Foundation → Professional → Master
Python, statistics and SQL fluency
Modelling and deep learning
Production and communication
Six 15-day sprints — exactly what you learn, build and ship each fortnight.
6-Month Roadmap
Foundations — Python
Get fluent in Python with daily practice sets
Python lab notebook
Skill stack — Machine Learning
Layer Machine Learning on top of your foundations
Churn prediction engine
Applied — Deep Learning
Solve real business problems with Deep Learning
Applied case study
Advanced — SQL & Analytics
Production-grade SQL & Analytics workflows
Vision quality inspector
Capstone build
One flagship project that proves the whole stack
Executive analytics story
Placement sprint
Target Data Scientist / ML Engineer roles
Certificate + interview pipeline
Full pipeline from raw CRM data to a deployed scoring API.
Deep learning model detecting defects from product images.
SQL + dashboard narrative presented to a mock leadership panel.
Verified reviews from learners who completed this combo and moved into Data Scientist and similar roles.
Rated 4.8 out of 5 based on 12 verified learner reviews for the AI Data Scientist programme.
Every review collected from enrolled learners after course completion
The review call tore my first version apart in the best way — no evals, no error handling, no cost thinking. Version two of the Churn prediction engine is now the centrepiece of my portfolio.
Aditi Kulkarni
Data Scientist · Bengaluru
The AI Data Scientist curriculum is genuinely current — nothing felt like recycled 2023 material. The 1:1 doubt slots fill up fast though, so plan ahead if you need help with the Vision quality inspector.
Harshit Jain
ML Engineer · Chennai
I had no formal AI background. The foundation level was patient, the professional level was demanding, and the master capstone is what my current employer asked about for twenty minutes in the final round.
Swetha Balaji
Data & AI · Kochi
I brought the Python and scikit-learn patterns back to work and rolled them out across the team. My manager asked who trained me and enrolled two more people from our department.
Rohan Pillai
Data Scientist · Kolkata
Most tutorials stop at the demo. Here the mentors made us rebuild the Python workflow until it survived messy real inputs, then wired Pandas on top. That is the part interviewers actually poke at.
Lakshmi Menon
ML Engineer · Chandigarh
Sessions are evening-friendly and every exercise maps to something I could take back to my team on Monday. I automated two of my weekly deliverables with Python before the course even ended.
Siddharth Bose
Data & AI · Hyderabad
Prefer one profession first? Start with a single career path, then upgrade to this pack anytime.
Career paths in this pack