Agentic AI Curriculum
Every module runs on a Generate → Validate → Improve workflow. You use AI to accelerate, then learn to question, fix, and own the output.
From SQL to RAG pipelines, dashboards to deployed models one curriculum built for where data roles are headed with Specialisation in AI
AI built into every module , not bolted on after.
Curriculum updates forever — no extra cost.
Foundations that lasts. Artificial Intelligence that compounds
AI Shift
Built across analytics, ML engineering, and AI application development for the roles actually being hired for. Here's where Scaler helps:
Ready to join Scaler and take your first step towards success?
who it is for?
The gap isn't effort; it's that what companies hire for today goes well beyond what most Data programs teach.

I want to move beyond just coding and start understanding how data actually drives impact.
You're early in your career. Now build the data and AI skills that move you from execution to decision-making roles.
What you'll gain
AI is the operating system
Execution is automated. Other programmes teach you to build dashboards. We teach you to make AI-driven decisions.
Every module runs on a Generate → Validate → Improve workflow. You use AI to accelerate, then learn to question, fix, and own the output.
AI reviews your configurations, surfaces misconfigurations, and simulates real production failures.
Every project goes from raw data to a deployed, AI-integrated system. Your portfolio shows end-to-end ownership, not just completed assignments.
Give mock interviews to live avatars trained on real data science and AI engineering interview formats. Case-based, reasoning-first, so you walk into the room ready.
Tools you’ll learn with us:

Curriculum
Instructors, mentors, and leaders from industry who shape what you learn and how you grow.

How is This Module Future Proof
SQL is the universal data language. Every data role. Analyst, scientist, engineer. Requires SQL. AI tools generate queries, but engineers who understand SQL can validate and optimise them

Master SQL from foundations to advanced analytics. Schema design, joins, window functions, CTEs, and query optimisation. Learn to use AI for query generation, debugging, and data exploration from day one.
What you'll learn
Want to dive deeper into the details?
Ready to join Scaler and take your first step towards success?
Project
Every project is interview-ready and AI-integrated. Something you can open, walk through, and defend - including the AI features you built into it.
Build SQL-driven revenue diagnostics, customer lifetime value analysis, and AI-augmented query workflows on millions of food delivery orders.


AI generates first-draft queries, catches logic errors, and writes insight narratives
Build an AI pipeline that ingests raw operations data, detects anomalies in real time, and generates natural language reports for dark store performance.


LLM APIs transform raw data into executive-ready insight summaries automatically
Design and run A/B tests on checkout conversion for 150M+ users. Build Bayesian testing frameworks, segment analysis, and AI-powered experiment review.


AI audits experiment designs, identifies confounds, and validates statistical rigor
Build an end-to-end cloud data pipeline from raw event logs to live dashboards, powering real-time decisions during peak fashion sale events.


AI generates contextual insights from pipeline output during live sale events
Train and compare Logistic Regression, XGBoost, and LightGBM models on real lending data. Build SHAP explainability and deploy a scoring API.


AI generates plain-language explanations of model decisions for compliance review
Fine-tune BERT for ticket classification, build custom NER for payment entities, and create an auto-escalation pipeline with AI-drafted responses.


LLM-generated response drafts reduce average resolution time by 40%
instructors / mentors
Scaler instructors and mentors aren't watching the AI shift from the sidelines. They're building through it, and they bring that into every session

Taught by Anshuman Singh

Two-time ACM ICPC World Finalist. Built Facebook Messenger as a founding team member.
4.9

Taught by Shivank Agarwal
A decade at Microsoft and Oracle. Now SVP of Engineering at Scaler, building next-gen engineers.
4.7

Taught by Naman Bhalla
Google Kickstart global rank 135. ACM ICPC rank 37. Built Scaler Topics from scratch.
4.8

Taught by Shubham Singh
Builds products at Uber's global scale. Ex-Dream11 engineer shipping to hundreds of millions of users.
4.7
how scaler works
Designed for people with jobs, ambition, and limited time. Structure, people, practice, an accountability are built in so AI upskilling turns into capability, not content consumption

Every module reflects how the best engineering and data teams work today with AI-assisted workflows, current interview standards, and the roles companies are hiring for now

Your mentors are active industry professionals,currently employed, currently hiring, currently solving the same problems you will face. They review your work, unblock you in real time, and bring the kind of judgment that only comes from being inside the teams you want to join.

Projects land module by module, tied to real business cases and interview-ready builds. The distance between learning and application is zero.

Scaler's own coding platform, terminal-based judges, and AI mock interviews are built in-house designed around exactly the way technical hiring works today. Nothing about the real thing should feel unfamiliar.

Structured check-ins, career support, and exclusive access to 1,00,000+ Scaler alumni keep you moving long after the program ends. The community outlasts the curriculum.

Live sessions, regular curriculum updates, and lifetime access to recorded content mean you remain current as the industry moves. Not caught up. Ahead of it.
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CERTIFICATE

Where AI-native engineering takes you
11M
Data science & analytics job openings projected in India alone by 2026 — supply doesn't come close
NASSCOM / Taggd Research, 2026
56%
Wage premium that AI-skilled workers earn over peers in equivalent roles — doubled from 25% just one year ago
PwC Global AI Jobs Barometer, 2025
30-50%
Extra salary ML specialists earn over generalists at the same experience level — depth beats breadth
Wealthvieu / BLS Projections, 2026
60-73%
Demand-supply gap for ML Engineers and Data Scientists in India — most open roles cannot be filled
NASSCOM / Taggd Research, 2026
Stories
Numbers tell part of the story. These are the role shifts behind them.
Shivam Prakash
Computer Scientist, Adobe
“This journey has been an incredible blend of theoretical knowledge and hands-on experience, equipping me with the skills to tackle real-world challenges in the dynamic field of AI and ML. I'm excited to leverage this knowledge to contribute meaningfully to the ever-evolving landscape of technology and innovation.”
Sahil Bansal
Data Scientist, Fractal
Rajesh Somasundaram
Machine Learning Ops Engineer-2, NinjaCart

Arun M V
Applied scientist, GoKwik
Divyanshu Tanter
AI Researcher and Developer, Dassault Systems
“In just 2.5 months of joining Scaler, I not only learned the fundamentals but also advanced-level concepts in Data Science and Machine Learning. The structured approach, comprehensive curriculum, and unwavering guidance of mentors like Srikanth Varma Chekuri, Naman Bhalla, Mudit Goel , and a fantastic cohort of peers made this journey incredibly rewarding.”
Akshat Arora
Data Scientist, Landmark Group

Madhuri Kukreja
Associate Analyst, Razorpay
Sayyam Bhandari
Data Engineer, Amazon
“Scaler Academy's program is truly exceptional, providing me with the skills and confidence necessary to thrive in the field of Full-Stack_Data Engineer. The practical projects and real-world scenarios prepared me well for the challenges ahead”
Vempali B N V D Sivasanthosh
Full Stack data Engineer, Fractal
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Community

our free courses
Starting at
₹ 9,791/month
Total ₹ 3,99,000*
Learn AI, stay ahead, and make the best investment for your future with EMI and a ₹20,000 upfront commitment.
What's included
No-cost EMI available
Flexible monthly payments
Full Day access from Day 1
All tracks, all modules, all tools
Lifelong Access Unlock
Curriculum, recordings, and future updates
Career support included
Resume review, mock interviews, placement assistance
Sneak-peak into our course
Instructors, mentors, and leaders from industry who shape what you learn and how you grow.
news
Deep dives on AI careers, learning strategies, and what the data actually says about the market
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Deep dives on AI careers, learning strategies, and what the data actually says about the market
FREQUENTLY ASKED QUESTIONS
Still having doubts regarding program details?
Reach out to the team for more information.
Scaler’s Data Science course is a comprehensive online program designed to take you from the fundamentals to advanced expertise in data science. It spans around 12 months of rigorous training, covering everything from basic tools (Excel, SQL, Python) and statistics to cutting-edge machine learning and deep learning techniques. The curriculum ensures you master all crucial skills for success in the field, backed by secure placement support.
What makes Scaler’s course stand out is its focus on industry readiness. Classes are live and interactive, led by top industry instructors (including experts who have built products like Facebook Messenger and Uber). You also get 1:1 mentorship from experienced data scientists throughout the program, with personalized guidance on projects, career advice, and doubt-solving.
With over 50+ hands-on projects and real-world case studies, you build a strong portfolio as you learn. On top of that, Scaler provides extensive career support—from resume workshops and interview preparation to networking opportunities with a community of 40,000+ peers and 900+ hiring partner companies. Many alumni have successfully transitioned into data science roles, often with significant salary hikes (median ~110% increase after completion).
Key Highlights of Scaler’s Data Science Course:
1:1 Mentorship by Industry Experts: Monthly mentorship and on-demand guidance from seasoned data scientists who know what skills you need to get hired.
Live Classes with Top Instructors: Learn through live online classes thrice a week, taught by instructors who have built world-class products.
Hands-on Projects & Case Studies: Work on 50+ projects, case studies, and assignments that mirror real business problems, ensuring practical experience.
Career Development Support: Access career counseling, mock interviews, resume building, and an alumni network to boost your job prospects in data science.
This holistic approach ensures that by the end of the course, you are not just certified, but truly job-ready as a data scientist, data analyst, data engineer, or business analyst.
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