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scaler academy|12 month Program

India's only Advanced AIML course

  • with Agentic AI specialization

  • Own the full ML lifecycle with Docker, MLflow, SageMaker & CI/CD
  • Learn tools top AI teams use: LangChain, LangGraph, vLLM & more
  • Build autonomous agents with ReAct, memory & multi-agent systems
  • Learn from mentors building at Apple, Amazon & JioHotstar
13,412 learners already Enrolled
4.9 (25k+ Reviews)
Next batch starts in : July 2026

overview

Why learn AIML & Agentic AI

Why Advanced AIML with Specialisation in Agentic AI

The rules of the game just changed. A year ago, knowing how to train a model was enough to get hired. That window has closed. The engineer the market is hiring for today is the one who can design a feature store, serve models at scale, build a RAG pipeline with evaluation baked in, and deploy autonomous agents that survive production traffic, adversarial inputs, and cost scrutiny. That's a fundamentally different job. And it requires fundamentally different preparation.

Currculum

Find the AI Path for your role

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

Data Foundations

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?

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Ready to join Scaler and take your first step towards success?

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how scaler works

Key Highlights of Scaler’s Advanced AIML & Agentic AI Program

We didn’t become India’s leading career accelerator by accident. Here’s what powers it:

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.

03Learning by doing, in real time

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.

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.

03Learning by doing, in real time

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.

Where AI-native engineering takes you

AI didn't replace engineers. It created new roles that pay more.

  • AI Backend Engineer
  • AI Front-end Engineer
  • AI Fullstack Engineer
  • AI Backend Engineer
  • AI Front-end Engineer
  • AI Fullstack Engineer

1200+

Hiring partner companies that recruit from Scaler for top job opportunities

LinkedIn, 365 Data Science, 2025

55k+

Scaler student community. Discover job opportunities together

LinkedIn Jobs Report, 2026

78%

Of all IT job postings now demand AI expertise, it's no longer a specialisation, it's the baseline

IntuitionLabs, Industry Survey, 2025

$206K

Average AI engineer salary in 2025, a $50,000 jump in a single year, still climbing in 2026

MRJ Recruitment, Second Talent, 2026

alumni

Scaler alumni work at reputed tech organisations and promising startups

Three tracks, one outcome: production-grade skills with AI fluency. Every module below has an AI integration layer — it's not an add-on, it's how you learn.

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

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

instructors / mentors

Learn from the top 0.1% of practitioners.

Three tracks, one outcome: production-grade skills with AI fluency. Every module below has an AI integration layer - it's not an add-on, it's how you learn.

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

System Design & Backend Architecture

Taught by Shivank Agarwal

Senior VP Engineering @

A decade at Microsoft and Oracle. Now SVP of Engineering at Scaler, building next-gen engineers.

14+ YOE14+ Years of Experience
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 Experience
4.8

DSA & Full Stack Development

Taught by Anurag Khanna

Principal Software Engineer @

Builds large-scale systems at Microsoft. Ex-Amazon SDE. Praised for unparalleled depth in DSA mentoring.

7+ YOE7+ Years of Experience
4.8

DSA & Problem Solving

Taught by Kshitij Mishra

Head of Instructors @

IIIT Hyderabad CS grad. Heads the Scaler instructor team. Ex-Lead SDE at InterviewBit.

10+ YOE10+ Years of Experience
4.8

DSA & Competitive Programming

Taught by Utkarsh Gupta

VP, Academic Course Architect @

AIR 1 in Google Hash Code 2019. Codeforces Master and 6-star CodeChef. 750+ live sessions at Scaler.

7+ YOE7+ Years of Experience
4.9

DSA & Backend Development

Taught by Umang Agrawal

SDE-II @

Drives Amazon's Everyday Essentials incentives strategy. Ex-Microsoft. 750+ live sessions, 4.87/5 rating.

5+ YOE5+ Years of Experience
4.9

Backend Engineering & System Design

Taught by Subham Soni

Software Engineer @

Google engineer and Scaler alumnus. Ex-Intuit and Credit Suisse. Known for clarity-first teaching.

5+ YOE5+ Years of Experience
4.8

DSA & Backend Development

Taught by Kunal Jindal

SDE II @

Ex-Microsoft (youngest SDE-II on CO+I India team). Ex-Disney+ Hotstar AdTech. AIR 6 National Astronomy Olympiad.

6+ YOE6+ Years of Experience
4.7

System Design & Backend Development

Taught by Alok Singh

SDE 2 @

Built Booking.com's Eligibility API serving 5M+ partners daily at 99.99% uptime. Ex-Razorpay, Ex-Samsung.

6+ YOE6+ Years of Experience
4.7

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

System Design & Backend Architecture

Taught by Shivank Agarwal

Senior VP Engineering @

A decade at Microsoft and Oracle. Now SVP of Engineering at Scaler, building next-gen engineers.

14+ YOE14+ Years of Experience
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 Experience
4.8

DSA & Full Stack Development

Taught by Anurag Khanna

Principal Software Engineer @

Builds large-scale systems at Microsoft. Ex-Amazon SDE. Praised for unparalleled depth in DSA mentoring.

7+ YOE7+ Years of Experience
4.8

Have questions about the program or your career path?

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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

Have questions about the program or your career path?

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Community

37,000+ tech professionals.
Your next network.

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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.

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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

FREQUENTLY ASKED QUESTIONS

Got Questions? We've Got Answers

Still having doubts regarding program details?

Reach out to the team for more information.

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