Too many tutorials.
No clear sequence.
Move through foundations, analytics, machine learning and GenAI in a defined order.
100 days. A new direction.Your next chapter starts here
The 100-Day
AI-Native
Data Science Mastery
Go From Zero to Shipping Agentic AI Models in 100 Days.
A guided path through Python, machine learning and GenAI—built around live coding and project work for professionals ready to make their next move.
43 live sessions6 modulesProject-led learning
₹999FREE introductory sessionNo payment required
Explore the full challenge before you enroll. The 100-day programme is a separate paid commitment.
24 SEPTEMBER
Thursday, 2026
7:30 PM IST
Intro session · Live online
your_next_100_days
The build planFrom first principlesTo your capstone ↗
100Days to
build forward.
build forward.
01
DAY 01–20Understand the dataPython · Analytics · Experiments
02
DAY 21–60Build predictive modelsMachine learning · Evaluation
03
DAY 61–80Go deeperDeep learning · Vision · Transformers
04
DAY 81–100Ship your capstoneGenAI · Agents · Production thinking
Learn → Build → Evaluate → Explain↗
Your first stepMeet the challenge. Live.24 Sep · 7:30 PM IST
Programme roadmap · Illustrative milestones
Built for working professionalsData Science/AI & ML/GenAI/Agentic AI
Turn intent into a plan
You’ve been meaning to learn AI.
Give that ambition a structure.
A connected learning path helps you decide what to practise, what to build and how the pieces fit together.
Too many tutorials.
Code that runs.
Answers you can’t explain.
Use AI to help you build, while learning to test the output and defend your decisions.
A career ambition.
A full-time calendar.
Explore the live schedule, practice expectations and support before deciding whether the challenge fits your life.
The 100-day roadmap
From your first analysis
to your agentic AI capstone.
Four phases. Six modules. A sequence of practical builds that makes your progress visible.
01DAYS 1–20
Build your foundations.
Python foundations, analytics and A/B testing. Learn to ask questions, work with data and explain an experiment.
↗ Milestone: an analysis you can explain.
02DAYS 21–60
Make predictions. Test them.
Machine learning, segmentation, forecasting and recommenders. Learn to compare models and choose useful evaluation metrics.
↗ Milestone: a model with a reasoned evaluation.
03DAYS 61–80
Work with deeper models.
Neural networks, computer vision and transformers. Understand how model choices affect the result.
↗ Milestone: a vision build with documented limitations.
04DAYS 81–100
Build with GenAI and agents.
Connect models, tools and application logic. Work toward a capstone with evaluation, deployment and operating costs in mind.
↗ Milestone: a capstone you can demonstrate.
The 100-day goal is a learning target supported by practice and project completion. Your progress depends on your starting point and participation.
Build something you can talk about
A portfolio with a story behind every decision.
Explore the planned case studies, capstone and interview presentation in the full programme.
01 / Build journal▥
Analytics
App funnel analysis
Find where users drop off and explain the evidence.
02 / Build journalA/B
Experimentation
A/B test analysis
Evaluate an experiment and communicate uncertainty.
03 / Build journal↗
Machine Learning
Credit risk model
Compare prediction quality and the cost of errors.
04 / Build journal◌
Unsupervised ML
Customer segmentation
Find useful groups and explain what separates them.
05 / Build journal⌁
Forecasting
Demand forecaster
Predict demand and compare against a baseline.
06 / Build journal⊡
Computer Vision
YOLO object detector
Inspect detections, failure cases and model limits.
07 / Build journal✦
GenAI & Agents
Agentic AI capstone
Connect tools and models; evaluate a defined task.
08 / Build journal↳
Career Preparation
Interview presentation
Explain your projects, trade-offs and lessons learned.
Seven technical case studies, including the capstone, plus an interview presentation. These are planned programme outputs, not projects completed in the free introduction.
How the challenge works
Learn what the problem needs.
Use it while it’s fresh.
Just-in-time math, concept walkthroughs and live coding with an AI copilot. Build understanding alongside the code.
When learning stallsThe challenge approach
Math without a problem to solve↗ Introduce the math alongside its application
Passive watching↗ Write and change code during live sessions
Accepting whatever AI generates↗ Inspect, test and explain the output
Scattered exercises↗ Build toward defined portfolio milestones
0minutes of planned daily learning
0live sessions across the programme
0modules connecting the foundations
The daily rhythm includes live learning and independent practice; it does not mean 100 live classes. We’ll explain the weekly timetable and workload in the free introduction.
A career move you can plan
Bring your ambition.
Understand the commitment.
Designed for working professionals, analysts, engineers and people moving from non-tech roles. Start with the free introduction to understand the foundations, schedule and effort involved.
Data Scientist, AI/ML Engineer and GenAI Engineer are different role directions. Explore which skills and project choices support the work you want to do.
New to coding?
The programme starts with foundations. Ask about preparation and beginner support in the intro.
Learning alongside work?
Plan for regular practice. Review the live schedule before committing to the full programme.
Ready to participate?
This is a hands-on learning commitment: attempt the builds, ask questions and explain your work.
Start with the free introduction
Meet the programme.
See the approach.
Decide your next step.
Thursday, 24 September 2026
7:30–9:30 PM IST · Live online
Free for everyone to join. No payment required.
- See the big picture
Your 100-day learning path.
Walk through the modules, milestones and career directions the programme is designed to support.
- Experience the method
What AI-native learning looks like.
See a guided coding example and how we connect concepts, AI assistance and verification.
- Understand the commitment
The schedule, projects and support.
Get clarity on practice time, live learning, programme fees and the enrollment process.
- Ask before you decide
Your questions. Your next step.
Discuss your starting point and whether the full challenge fits your goals. Enrollment is optional.
Your 100-day journey starts with clarity
Before the commitment,
come meet the challenge.
Explore The 100-Day AI-Native Data Science Mastery in a free introductory session.
- ✓Walk through the complete programme roadmap
- ✓See the teaching approach through a coding example
- ✓Explore the projects and capstone
- ✓Understand the schedule, support and fees
- ✓Ask questions about your next career step
Free for everyone to join100-Day Challenge
₹999FREE
100-Day Challenge
Introductory Session
Introductory session access · No payment required
Thu, 24 September 2026
7:30–9:30 PM IST
Live online
The full 100-day programme is paid separately. Joining this session does not enroll you in it.
Before you join
Your questions,
answered.
Know what is free and what comes next.