AI-Led Curriculum
From RAG pipelines to multi-agent orchestration, you finish the program able to build and operate production-grade AI systems.
12 Month Program
Advanced AI & Machine Learning
Neural networks, agentic systems, and production-deployed LLMs come together in one curriculum for AI-first builders with Specialisation in Agentic AI
Next cohort starts May 2026
AI-Integrated Curriculum
AI built into every module , not bolted on after.
Unlock Lifelong Learning
Curriculum updates forever — no extra cost.
Fundamentals First
Foundations that lasts. Artificial Intelligence that compounds
AI Shift
The Only AI/ML Program Built Around How AI Roles Actually Work Now.
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?
AI is reshaping every role. Are you ready for yours?
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.
2-4 Years
SDEs, Backend Developers, QA Engineers & Junior Data Scientists
You have the coding foundation. Now add the AI layer that makes you stand out in every hiring room.
What you'll gain
- End-to-end ML, from training to production with Docker and MLflow
- GenAI fluency, from prompt engineering to RAG and fine-tuning
- Full-stack AI, owning the model lifecycle from data to deployment
AI is the operating system
AI Engineering Is No Longer Just About Models
Build and ship AI systems where agents, RAG, and production infrastructure are the baseline. Here is how
AI-Assisted Labs
From RAG pipelines to multi-agent orchestration, you finish the program able to build and operate production-grade AI systems
AI Mock Interview
Live avatar interviews covering AI Engineer, Agent Engineer, and Lead AI Architect formats across system design and agentic architecture.
AI-Driven Project
Every project ships as a deployed system with an ML pipeline, AI layer, and agentic component. Ready to walk through in any interview.
Tools you’ll learn with us:
Currculum
Find the AI Path for your role
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
Core
Data Foundations
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.
4 Weeks5 topicsData Fluency
What you'll learn
01
NumPy & Pandas masteryArray operations, DataFrames, data manipulation, and efficient data handling
02
EDA & visualisationExploratory data analysis, data plotting, and visualisation basics for insight discovery
03
Probability foundationsProbability concepts essential for understanding ML algorithms and statistical reasoning
Want to dive deeper into the details?
Ready to join Scaler and take your first step towards success?
Project
Every project ends as a production-deployed AI system. That's the new bar.
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.
SUPERVISED ML
AI Solutions for Uber / Ola
Build ETA prediction models with XGBoost and CatBoost, process large-scale ride data with PySpark, and implement graph-based route optimization.
XGBoostCatBoostPySparkNetworkX
AI optimizes real-time ETA calculations and dynamic driver allocation at scale
TIME SERIES & RECSYS
IPL Data Analysis Case Study
Analyse multi-year IPL data to build match strategy models, player performance predictors, and venue intelligence for a franchise analytics team.
scikit-learnStatsmodelsPandasSeaborn
AI-driven match strategy turns historical patterns into real-time captaincy decisions
NLP & RANKING
LinkedIn Newsfeed Personalization
Build content ranking models with TensorFlow Ranking, train BERT-based relevance classifiers, and optimise feed pipelines balancing personalisation with diversity.
TensorFlow RankingBERTPySparkSQL
AI ranks and personalises content feeds for millions of professionals in real time
SYSTEM DESIGN
Real-Time Fraud Detection System
Build anomaly detection with Isolation Forest and AutoEncoders on streaming transaction data, delivering real-time fraud alerts for digital payments.
KafkaPySparkTensorFlowAutoEncoders
AI processes streaming transactions and flags fraud with sub-second latency
GENAI & RAG
Domain-Specific RAG System
Build a retrieval-augmented generation pipeline with semantic chunking, vector search on Milvus, hallucination guardrails, and automated quality evaluation.
MilvusHugging FaceLLM APIsOpik
RAG pipeline grounds LLM responses in verified documentation with hallucination scoring
GENAI & FINE-TUNING
LLM Fine-Tuning with LoRA
Fine-tune large language models using parameter-efficient LoRA adapters for enterprise style and terminology, under real GPU memory constraints.
Hugging Face TRLPEFTPyTorchLoRA
Lightweight LoRA adapters customise a shared base model for multiple enterprise clients
instructors / mentors
Learn from the top 0.1% of practitioners.
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.
Problem Solving & System Design
Taught by Anshuman Singh
Co-Founder @
Two-time ACM ICPC World Finalist. Built Facebook Messenger as a founding team member.
15+ YOE15+ Years of Experience
4.9
4.9
System Design & Backend Architecture
Taught by Shivank Agarwal
Ex SDE Manager @
A decade at Microsoft and Oracle. Now SVP of Engineering at Scaler, building next-gen engineers.
14+ YOE14+ Years of Experience4.7
4.7
DSA & Full Stack Development
Taught by Naman Bhalla
Co-Founder Scaler AI Labs
Google Kickstart global rank 135. ACM ICPC rank 37. Built Scaler Topics from scratch.
6+ YOE6+ Years of Experience4.8
4.8
MLOps & Computer Vision
Taught by Shivam Prasad
Principal Data Scientist @ Omsha
Decade of production deep learning across CV, NLP, and speech. Research at IISc Bangalore.
10+ YOE10+ Years of Experience4.7
4.7
Python, Math for ML & Neural Networks
Taught by Akash Rajpuria
Senior Data Scientist (NLP) @
Interspeech 2021 published researcher. AWS ML certified. Built BERT-powered search at Pfizer.
8+ YOE8+ Years of Experience4.7
4.7
Data Analytics, SQL & Business Intelligence
Taught by Saurabh Kango
Senior Manager, DS&A @
Ex-LinkedIn Analytics Lead and Airbnb Data Scientist. Guided 100+ students in analytics and BI.
10+ YOE10+ Years of Experience4.8
4.8Problem Solving & System Design
Taught by Anshuman Singh
Co-Founder @
Two-time ACM ICPC World Finalist. Built Facebook Messenger as a founding team member.
15+ YOE15+ Years of Experience4.9
4.9System Design & Backend Architecture
Taught by Shivank Agarwal
Ex SDE Manager @
A decade at Microsoft and Oracle. Now SVP of Engineering at Scaler, building next-gen engineers.
14+ YOE14+ Years of Experience4.7
4.7DSA & Full Stack Development
Taught by Naman Bhalla
Co-Founder Scaler AI Labs
Google Kickstart global rank 135. ACM ICPC rank 37. Built Scaler Topics from scratch.
6+ YOE6+ Years of Experience4.8
4.8MLOps & Computer Vision
Taught by Shivam Prasad
Principal Data Scientist @ Omsha
Decade of production deep learning across CV, NLP, and speech. Research at IISc Bangalore.
10+ YOE10+ Years of Experience4.7
4.7how scaler works
This isn't an AI content library. It's a system built around AI-era progress.
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
01AI-first structured curriculum
AI-first structured curriculum. Not retrofitted. Rebuilt.
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
021:1 mentor support
The people who guide you are also building the industry
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.
03Projects, AI labs, and evaluated practice
Projects, AI labs, and evaluated practice You learn it. You use it. You get evaluated on it.
Projects land module by module, tied to real business cases and interview-ready builds. The distance between learning and application is zero.
04Scaler-built preparation products
Built at Scaler The practice environment is built to match the hiring environment.
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.
05Backed by a Strong Tech Community
Community, accountability, and career support. It is your professional network for the next decade.
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.
06Learning never ends
Lifelong access and continuous learning The program ends. The access does not.
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
Will you be certified? Of course! It’ll look great on your resume and LinkedIn
WHERE ADVANCED AI/ML WITH AGENTIC AI TAKES YOU
AI didn't replace engineering roles. It created new ones that didn't exist five years ago.
- AI Engineer
- Agent Engineer
- ML Systems Engineer
- AI Platform & LLMOps Engineer
- MLOps Engineer
- Multimodal AI Engineer
- Lead AI Architect
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
Real AI-era career moves, not generic success stories.
Numbers tell part of the story. These are the role shifts behind them.
0%Hike
Shivam Prakash
Computer Scientist, Adobe
Before:Backend Engineer, Ericsson
Now:Computer Scientist, Adobe
3 OFFERSExplore more
“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
Before:Software Engineer - II, HERE Technologies
Now:Machine Learning Ops Engineer-2, NinjaCart
Arun M V
Applied scientist, GoKwik
0%Hike
Divyanshu Tanter
AI Researcher and Developer, Dassault Systems
Before:Data Scientist, Wipro Limited
Now:AI Researcher and Developer, Dassault Systems
4 OFFERSExplore more
“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
Before:Associate Analyst, XL Dynamics
Now:Associate Analyst, Razorpay
0%Hike
Sayyam Bhandari
Data Engineer, Amazon
Before:Sr BI Analyst, USEReady INC.
Now:Data Engineer, Amazon
2 OFFERSExplore more
“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
37,000+ tech professionals. Your next network.
our free courses
Advanced AI & Machine Learning Skills you will learn
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
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Instructors, mentors, and leaders from industry who shape what you learn and how you grow.
BLOG
From the Scaler editorial desk
Deep dives on AI careers, learning strategies, and what the data actually says about the market
FREQUENTLY ASKED QUESTIONS
Got Questions? We've Got Answers
Still having doubts regarding program details?
Reach out to the team for more information.
Ready to upskill in Advanced AI and Machine Learning
Why Learn AIML and Agentic AI Today?
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?