AI-Led Curriculum
From RAG pipelines to multi-agent orchestration, you finish the program able to build and operate production-grade AI systems.
Neural networks, agentic systems, and production-deployed LLMs come together in one curriculum for AI-first builders with Specialisation in Agentic 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
From core infrastructure to intelligent systems, designed for engineers who want to stay ahead.
Ready to join Scaler and take your first step towards success?
who it is for?
The problem isn't talent - it's that your current stack doesn't include the AI layer companies now expect.

I can build software all day, but the moment an AI/ML feature comes up, I'm on the sidelines.
What you'll gain
AI is the operating system
Build and ship AI systems where agents, RAG, and production infrastructure are the baseline. Here is how
Tools you’ll learn with us:
Currculum
Instructors, mentors, and leaders from industry who shape what you learn and how you grow.

How is This Module Future Proof
Pandas powers every ML pipeline. Data manipulation with Pandas is the universal first step in any ML workflow. From feature engineering to model evaluation

Master data analysis and visualisation using NumPy, Pandas, and foundational probability. Explore, clean, and interpret data effectively. The essential starting point for any AI/ML career.
What you'll learn
Want to dive deeper into the details?
Ready to join Scaler and take your first step towards success?
Project
Not a trained model. But, a working system - with ML pipelines, a deployed model, an AI layer, and an agentic component that reasons and executes.
Build ETA prediction models with XGBoost and CatBoost, process large-scale ride data with PySpark, and implement graph-based route optimization.


AI optimizes real-time ETA calculations and dynamic driver allocation at scale
Analyse multi-year IPL data to build match strategy models, player performance predictors, and venue intelligence for a franchise analytics team.


AI-driven match strategy turns historical patterns into real-time captaincy decisions
Build content ranking models with TensorFlow Ranking, train BERT-based relevance classifiers, and optimise feed pipelines balancing personalisation with diversity.


AI ranks and personalises content feeds for millions of professionals in real time
Build anomaly detection with Isolation Forest and AutoEncoders on streaming transaction data, delivering real-time fraud alerts for digital payments.


AI processes streaming transactions and flags fraud with sub-second latency
Build a retrieval-augmented generation pipeline with semantic chunking, vector search on Milvus, hallucination guardrails, and automated quality evaluation.


RAG pipeline grounds LLM responses in verified documentation with hallucination scoring
Fine-tune large language models using parameter-efficient LoRA adapters for enterprise style and terminology, under real GPU memory constraints.


Lightweight LoRA adapters customise a shared base model for multiple enterprise clients
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 Shivam Prasad
Decade of production deep learning across CV, NLP, and speech. Research at IISc Bangalore.
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.
Want to learn more about our ventures and collaborations?
CERTIFICATE

WHERE ADVANCED AI/ML WITH AGENTIC AI TAKES YOU
1.3M
New AI-specific jobs created globally in just two years — LinkedIn confirmed this as net new, not replacement
LinkedIn / World Economic Forum, Jan 2026
70%+
Salary premium for senior AI specialists over non-AI peers at firms like Intuit and Google DeepMind
PwC / Acceler8 Talent, 2025–26
3.2:1
Global ratio of open AI positions to qualified candidates — 1.6M jobs, only 518K people who can fill them
ManpowerGroup Survey, 2026
~70 LPA
Salary range for GenAI engineers in India — vs. 10–40 LPA for traditional ML. The gap is growing every quarter
OdinSchool / BuildFastWithAI, 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
Want to learn more about our ventures and collaborations?
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.
BLOG
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.
Artificial intelligence and machine learning aren’t just buzzwords; they’re reshaping industries from finance to healthcare. The global market for generative AI alone is expected to reach USD 0.64 billion in 2024 with a 46.3 % compound annual growth rate through 2030. Companies are racing to hire professionals who can build intelligent systems, automate processes, and extract insights from data. Whether you’re a fresh graduate or an experienced engineer, mastering machine learning opens doors to high‑impact roles with competitive salaries.
Want to learn more about our ventures and collaborations?