Why is the program 2 years long?

The goal is not just to learn AI tools, but to build the depth required to architect, build, deploy and scale AI systems. That requires fundamentals, advanced AI capability and repeated real-world application to compound over time.

What is the expected weekly time commitment?

The program is designed for working professionals, with structured online learning of 4 hrs (2hrs on Tuesday & Thursday from 9PM-11PM) during the week and the core hands-on experience of 6 hrs over the weekend along with a 2hr weekend session to stay on track with M.Tech. commitment.Tuesday & Thursday, 9–11 PM (Online)Saturday, 10AM - 7PM2-hour TA session to ensure learners stay on track with the degree requirementsRemaining ~6 learning hours focused on Scaler-led learning and guided building

Can I realistically manage this alongside a full-time job?

Yes. The learning journey is specifically structured around working professionals, with online learning during the week and weekend in-person sessions.

Why should I commit to 2 years when shorter AI programs are available?

Short programs can help you learn individual tools or concepts. This program is designed for a larger outcome i.e. building the engineering depth, judgement and real-world experience required for high quality AI native roles.

What happens if I occasionally miss a session?

For online learning, while we prefer learners to attend live, recorded content will be available. For weekend labs, while in-person participation is strongly preferred, the labs will also be live-streamed, with a monthly in-person catch-up lab to make up for missed build sessions.

What happens if I fall behind?

Recorded learning content, live-streamed labs and monthly catch-up labs with dedicated TA support provide ways to get back on track. The expectation, however, is that learners maintain consistency through the journey.You will also have 24 1-1 mentor sessions through the course of the program

How will the program stay relevant over 2 years when AI is changing so quickly?

The program is built around capabilities that remain fundamental: ML, deep learning, system design, deployment, evaluation, reliability, cost and scale. Models and tools will evolve, and those parts of the learning experience will evolve with them.

Do I need to pay the entire fee upfront?

Yes. The fees should be paid in one go before program start date with financing options available for the total amount from platforms like Propelld, Caprion, Avanse, Fibe, Credila to make the commitment more manageable.

Can I get a scholarship?

Yes. A scholarship of up to 25% is available for the top 10% of candidates, determined through a profile evaluation and an interview with leading Scaler mentors and instructors.

Is there an additional discount for Scaler Alumni?

Yes. Scaler alumni are eligible for an additional 10% alumni discount on the program fee, over and above any scholarship they may receive.

Is there a referral benefit?

Yes. Learners can avail of the applicable ₹35,000 referral discount when enrolling through a referral from an existing Scaler learner/alumnus. Additionally, the person making the successful referral will receive a ₹25,000 referral benefit.

Why does the weekend experience need to be in person?

Because the labs are where knowledge turns into engineering capability: learners build, debug, discuss architecture, get feedback and solve problems together.

What actually happens during the weekend AI Labs?

Learners apply what they have learnt by building AI systems, working through implementation challenges and getting feedback on their technical choices. TAs and SMEs will be there during the lab sessions to help you out.These weekend labs can have a couple of formats - regular implementation and build focused labs, sometimes these could be small weekend hackathons were you build over two days an end to end product

How often am I expected to come to the Bangalore campus?

The core AI Lab experience takes place every weekend at Scaler’s Bangalore campus.

Is weekend attendance mandatory?

The program is designed around the in-person experience, so attendance is strongly encouraged. For occasional misses, the lab will also be live-streamed.

What happens if I occasionally cannot attend a weekend?

You can join through the live stream, and there will also be a monthly in-person catch-up lab to help make up for missed build sessions.

Can someone living outside Bangalore do the program?

Yes, but they should factor in that the core weekend experience is intentionally in person in Bangalore. Livestreaming and catch-up labs are meant as a safety net for occasional misses, not as a replacement for the campus experience.

What will I get from the in-person environment that I would not get online?

Repeated access to instructors, peers, feedback and hands-on building. Over time, that environment helps develop the engineering judgement and problem-solving ability that is difficult to build through passive online learning alone.

Why is an M.Tech. relevant alongside the AI journey?

The capability you build is the core transformation. The M.Tech. in AI & ML adds a strong academic credential that can help open doors alongside that capability.

What are the eligibility requirements?

The current eligibility requires a B.E./B.Tech./M.Sc./MCA or equivalent degree, minimum 60% aggregate marks and at least 1 year of work experience, along with foundational capability in programming, mathematics and statistics.

Is the M.Tech. degree mandatory?

The degree may be made optional for certain eligible candidates, subject to a profile evaluation and an interview with leading Scaler instructors and mentors.

What does an enterprise project every 3 months actually mean?

Learners will repeatedly work on enterprise problem statements throughout the program, rather than waiting for one final capstone.First 12 months will consist of projects sourced from leading enterprises and then post 2nd module completion you will have live projects with direct Enterprise involvement

Are these real enterprise problems or simulated case studies?

The intent is to expose learners to real business problems from leading enterprise partners, including the ambiguity and constraints that come with solving problems in the real world.

What part of the problem will the learner actually own?

Learners work across the journey i.e. understanding the problem and success metrics, choosing the architecture, building the solution, testing it and thinking through deployment and production considerations.

Will learners interact with enterprise stakeholders?

Yes. Learners will present and defend their solutions to enterprise stakeholders, receive feedback and iterate based on that feedback for enterprise projects after 12 months.

Will projects include real production considerations?

Yes. Learners will need to think beyond whether something simply works including reliability, scale, latency, cost, security and other production trade-offs.

2 Year Hybrid Program (Online + Weekend In-Person)

Become the AI engineer companies are hiring for

A 2 year Hybrid (Online + Weekend In-Person) program for working professionals in Bangalore. Learn online through the week, build in the campus Lab every weekend, deliver a scalable solution for an enterprise partner every 3 months, and finish with 10+ portfolio artifacts and placement support.

REQUEST A CALLBACK

DOWNLOAD BROCHURE

First batch starts October 2026. 40 seats at the Bangalore campus.

Learn Agentic AI in depth

Agents that use tools, hold memory and plan steps, taught by people who build them for a living.

Build every weekend in a working Lab

4 to 6 hours online, 4 to 6 hours in the campus Lab, with a mentor in the room and frontier AI tooling.

Leave with proof, not notes

An enterprise delivery every 3 months, 10+ portfolio artifacts, and placement support at the end.

Learners building together in the weekend Lab at the Scaler campus, Electronic City, Bangalore

The Scaler Frontier AI Engineering Program

A 2 year Hybrid (Online + Weekend In-Person) program for working professionals in Bengaluru. Learn online each week, build in the Lab on campus every weekend.

2 yearsDuration

Every 3 monthsEnterprise delivery

10+Portfolio artifacts

Why now

Companies have stopped hiring people who only know AI theory

Think about the last AI feature your company shipped. Someone had to pick the model, connect it to company data, put it live, watch the cost, and fix it when it answered wrong. That is the job now. Most learning stops before that part, so you end up doing the work twice: once for the exam, once for the job.

A working professional watching AI tutorials alone at home without building anything

Learning AI on your own

You watch a lot, but you never ship

A weekend lab session at the Scaler campus, Electronic City, Bangalore

Learning AI at Scaler

You ship a working system every week

A self-taught learner working alone with no one to review their code

Learning AI on your own

Nobody checks your code

A project review where learners present and defend their work

Learning AI at Scaler

Working AI engineers review your code

A learner building small side projects alone at home

Learning AI on your own

Toy projects that recruiters skip

A learner working through an applied machine learning build in the Lab

Learning AI at Scaler

10+ portfolio artifacts that go into your portfolio

An abandoned laptop after a self-paced AI course was left unfinished

Learning AI on your own

You stop after three weeks

A review session in the campus collaboration zone

Learning AI at Scaler

A fixed weekly rhythm and a batch beside you

A professional studying AI alone at home with no company contact or interviews

Learning AI on your own

No company contact, so no interviews

Learners working an enterprise problem statement together in the campus Lab

Learning AI at Scaler

A live company project, then placement support

Not sure which AI role fits you? Get the roles and salary breakdown.

Talk to an Advisor

Who it is for

AI is changing every tech role. Is yours next?

Built for working professionals in Bengaluru. The problem is not your ability. It is that your skill set does not have the AI layer yet, and companies now ask for it by name.

A software engineer working at a desk in a Bangalore office

I can build software all day. The moment an AI feature comes up, I am on the sidelines.

Software engineers

You already know how to code. Add the AI layer that puts you in the room for every new project.

I can build software all day. The moment an AI feature comes up, I am on the sidelines.

Not sure this is the right fit for you?

Tell us where you are today and we will give you an honest answer.

Talk to an Advisor

Agentic AI

Learn Agentic AI from the lab that built Claude

Agentic AI is where the work is going: systems that use tools, hold memory, plan their own steps and act. You learn it from the people building at that frontier, on the same tooling professional teams use.

Agents that do real work.

Tool use, memory, planning, orchestration and multi-agent workflows, built and defended.

Frontier tooling.

Build with the same AI tools professional teams use, not a trial account.

Masterclasses and selected on-campus labs.

Practitioners take sessions through the program and support selected labs on campus.

Reliability and cost, not demos.

You take agents to the point where they hold up under real load and real budgets.

Tools you’ll learn with us:

Curriculum

What will you learn in the 2 years?

You deliver a scalable solution for an enterprise partner every 3 months from the start. The final 6 months go into one intensive enterprise project and placements.

Phase 1

Build your AI engineering base

Programming, working with data, the maths behind AI, statistics, and how machines learn to make decisions.

Months 1 to 3

What you'll learn

You get strong atPython, data pipelines, probability, statistics

Enterprise deliveryyour first scoped problem statement from a partner company

Want to dive deeper into the details?

Download Brochure

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

Talk to an Advisor

Projects

Every project ends as a working, deployed AI system. That is the bar.

Every 3 months you hand an enterprise partner something that runs at their scale. Not a trained model in a notebook: a live system with data pipelines, a deployed model, an AI layer, and an agent that can act on its own.

A delivery rider in Bengaluru traffic, the quick delivery routing agent project

Cut delivery time with an agent that plans routes. Read live orders, traffic and rider load, then decide who delivers what, in which order.

A digital payment at a neighbourhood shop, the real time fraud detection project

Catch fraud before the money moves. Train on transaction patterns, serve it behind an API, then watch and retrain as the fraud changes.

A customer support professional, the telecom enterprise RAG assistant project

Answer a million customer questions without a human. Build an assistant on plans, bills and policy documents, with guardrails so it never invents an answer.

Engineers watching a running system, the internet scale multi-agent project

Put many agents to work on one business task. Design a multi-agent workflow, then make it reliable, easy to watch and cheap to run.

See every enterprise project brief

The full project list, and what you build in each phase.

Talk to an Advisor

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

System Design & Backend Architecture

Taught by Shivank Agarwal

Ex SDE Manager @ Microsoft logo

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

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 Experience

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 Experience

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 Experience

4.8

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

Ex SDE Manager @ Microsoft logo

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

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 Experience

4.7

how 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

The Scaler campus in Electronic City, Bengaluru, where the weekend Lab runs

01Hybrid (Online + Weekend In-Person)

Learn online through the week. Build in the Lab on campus every weekend.

Your week has one simple shape and it repeats for 18 months. 4 to 6 hours online in your own time, then 4 to 6 hours in the Lab at the Scaler campus in Electronic City, Bangalore, with a mentor beside you. Each module ends in something you can show.

AI-first structured curriculum, rebuilt not retrofitted

02One curriculum, in the right order

Machine learning to agentic systems, in a single path.

Six phases across 24 months, from your AI engineering base through applied machine learning, deep learning, generative AI and RAG, to agentic and multi-agent systems. One path, in the right order, so nothing is missing.

Mentors who guide you while building the industry

03Mentors who build AI today

The people who guide you are building AI for a living.

Your mentors work in AI today, and many of them hire for the same roles you are aiming at. They review your code line by line in the Lab, unblock you while you build, and bring the judgment that only comes from being inside the teams you want to join.

Projects, AI labs, and evaluated practice

04Enterprise delivery every 3 months

Every project ends as a working, deployed AI system.

You ship a scalable solution for an enterprise partner every quarter, from Phase 1 onward, not once at the end. Each one is scoped with a partner company and defended when you hand it over. You finish with 10+ portfolio artifacts.

Scaler practice platform built to match the real hiring environment

05Built for the work, not for demos

The practice environment matches the work environment.

You build on the same AI tooling professional teams use, not a trial account. Agents get taken to the point where they hold up under real load and real budgets, so nothing about the real thing feels unfamiliar.

06A batch beside you

Community, accountability and career support.

A fixed weekly rhythm, a batch building alongside you on campus every weekend, and 1,00,000+ Scaler alumni you can reach. The community outlasts the curriculum.

07Masterclasses through the program

Practitioners take sessions through the program.

Masterclasses and selected on-campus labs run alongside the curriculum, so you see how real agent systems get built and kept alive by the people who do it every day.

01Hybrid (Online + Weekend In-Person)

Learn online through the week. Build in the Lab on campus every weekend.

02One curriculum, in the right order

Machine learning to agentic systems, in a single path.

03Mentors who build AI today

The people who guide you are building AI for a living.

04Enterprise delivery every 3 months

Every project ends as a working, deployed AI system.

05Built for the work, not for demos

The practice environment matches the work environment.

06A batch beside you

Community, accountability and career support.

A fixed weekly rhythm, a batch building alongside you on campus every weekend, and 1,00,000+ Scaler alumni you can reach. The community outlasts the curriculum.

07Masterclasses through the program

Practitioners take sessions through the program.

Masterclasses and selected on-campus labs run alongside the curriculum, so you see how real agent systems get built and kept alive by the people who do it every day.

Inside the lab

What happens in the weekend Lab

Build the part of the system linked to this week's topic

Fix real bugs with a mentor sitting beside you

Get your code reviewed line by line

Demo your work and defend your choices

Sit in on a real weekend lab

Come to the Bengaluru campus, watch a session and meet the batch before you decide.

Book your campus visit

CERTIFICATE

Will you be certified? Of course! It’ll look great on your resume and LinkedIn

Academic pedigree

Add an Online M.Tech in AI/ML from BITS Pilani

Learners are recommended to independently pursue an Online M.Tech in AI/ML from BITS Pilani. It is designed for working professionals.

Degree

Online M.Tech in AI/ML

Awarded by

BITS Pilani

Duration

2 years

Built for

Working professionals, delivered online

Want to understand the degree route before you decide?

This degree is a separate academic programme offered and awarded by BITS Pilani. Admission is at the sole discretion of BITS Pilani. Eligibility, coursework, examinations, fees and completion requirements are set by BITS Pilani, and the degree is granted only when those requirements are met.

Talk to an advisor

Where it takes you

Which roles does this program prepare you for?

These roles barely existed five years ago. Today they are the ones companies struggle to fill.

AI Engineer
Machine Learning Engineer
Generative AI Engineer
Agentic AI Engineer
MLOps Engineer
Data Scientist, AI focus
AI Engineer
Machine Learning Engineer
Generative AI Engineer
Agentic AI Engineer
MLOps Engineer
Data Scientist, AI focus

1.3M

New AI jobs created worldwide in two years, counted as new roles, not replacements.

LinkedIn and World Economic Forum, Jan 2026

3.2 : 1

Open AI roles per qualified candidate. 1.6 million jobs, about 518,000 people.

ManpowerGroup survey, 2026

70%+

Salary premium senior AI specialists earn over peers without AI skills.

PwC and Acceler8 Talent, 2025 to 2026

~₹70 L

Range for generative AI engineers in India, against ₹10 to ₹40 lakh for traditional ML.

OdinSchool and BuildFastWithAI, 2026

How it compares

Hybrid (Online + Weekend In-Person) vs online AI course vs M.Tech alone

Three honest options if you want an AI career in India. Here is what each one actually gives you, so you can pick the right one even if it is not this.

This hybrid program

Online + weekend in-person

01What you learn: Theory plus production practice: RAG, MLOps, agents
02Where you build: In person, at the Bengaluru campus, every weekend
03Who checks your work: Working AI engineers, line by line
04Time each week: 8 to 12 hours
05Live company work: Yes
06Proof at the end: 10+ portfolio artifacts and quarterly enterprise deliveries
07Career support: Counselling, mocks, hiring drives, 3+ interviews for eligible learners
08Best for: People who want the skill, the proof and the interviews

2 YEARSBENGALURU CAMPUS

Self paced

Online AI course

01What you learn: Usually tools and theory only
02Where you build: Alone, at home, whenever you find time
03Who checks your work: Nobody, or an automated grader
04Time each week: Whatever you manage
05Live company work: No
06Proof at the end: A completion certificate
07Career support: None, usually
08Best for: Testing whether you like the subject

Academic only

Online M.Tech in AI/ML alone

01What you learn: Strong academic depth, light on production work
02Where you build: Assignments and a final semester project
03Who checks your work: Faculty, on academic criteria
04Time each week: Around 10 hours, mostly self study
05Live company work: Rare
06Proof at the end: A degree
07Career support: Limited
08Best for: People who mainly need the qualification

Still deciding between the three? Twenty minutes on a call is usually enough to know which of these is right for you.

The short version: pick a self paced course if you are still exploring. Pick a degree on its own if you mainly need the qualification. Pick this if you want to be able to build the thing, and want the degree as well, because you can do both here at the same time.

Talk it through with us

Outcomes

This program is new. The career engine behind it is not.

Scaler has been moving working professionals into better tech roles since 2019. Here is the record, in full.

The reception at the Scaler campus, Electronic City, Bengaluru

learners completed a Scaler program in 2024 and 2025

overall placement rate across Scaler programs

average salary growth after the program

hiring partners, including big tech and AI startups

Source: Scaler Career Report, assessed by B2K Analytics, covering learners who completed a program between 2024 and 2025. These are results from Scaler's existing programs and are shared as a past record. They are not a guarantee for this program.

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

Scaler learner success story video thumbnail

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

Before you apply

Be honest with yourself about this part

This program asks for real time and real presence. We would rather tell you now than after you pay.

Join if you

01Work in tech or data and want to move into AI roles
02Can give 8 to 12 hours a week for two years
03Can reach the Scaler campus in Bengaluru on weekends
04Want to build real systems, not collect certificates
05Are open to independently pursuing an Online M.Tech in AI/ML alongside

Skip this if you

01Want a job in three months with no effort
02Cannot attend weekend labs in person
03Are looking only for a degree certificate
04Do not want to write code at all

Placement support

How does placement support work?

Eligible learners get at least 3 interview opportunities, based on readiness criteria.

Career counselling

We map the roles you should target and what is missing today.

Profile building

Resume, LinkedIn, GitHub and project portfolio, cleaned up properly.

Interview prep

Technical mocks, project defence practice and behaviour rounds.

Company access

Curated job openings, hiring drives and direct recruiter connects.

Read the full placement report

Every number above, with the method, the cohort and the breakdown by role. Assessed by B2K Analytics.

Talk to an Advisor

Community

37,000+ tech professionals. Your next network.

news

Featured in the News

Are India’s engineers truly AI-ready? Scaler-CMR study uncovers a “Confidence-Capability Gap”

03rd Mar 2026

IIT Roorkee and Scaler Sign MOU to launch Advanced AI-Focused Programs to Bridge Industry Skill Gaps

19th Mar 2026

Scaler Signs MoU with IIM Tiruchirappalli to Co-Develop Industry-Ready Management Programmes for an AI-Driven World

19th Jan 2026

Google for Startups collaborates with Scaler to equip Indian founders with hands-on AI skills through ‘Prompt to Prototype’

07th Nov 2025

Frequently asked questions

Still having doubts regarding program details?

Reach out to the team for more information.

Request A Callback

Disclaimer

About the Online M.Tech in AI/ML from BITS Pilani

The Online M.Tech in AI/ML is a separate academic program offered and awarded solely by BITS Pilani. BITS Pilani independently sets admission, eligibility, coursework, examinations, fees and completion requirements.

Companies have stopped hiring people who only know AI theory

Become the AI engineer companies are hiring for

Learn Agentic AI in depth

Build every weekend in a working Lab

Leave with proof, not notes

The Scaler Frontier AI Engineering Program

Companies have stopped hiring people who only know AI theory

AI is changing every tech role. Is yours next?

Software engineers

Data scientists and analysts

Tech leads

Managers

People planning a switch to AI

Agents that do real work.

Frontier tooling.

Masterclasses and selected on-campus labs.

Reliability and cost, not demos.

What will you learn in the 2 years?

Build your AI engineering base

Every project ends as a working, deployed AI system. That is the bar.

Learn from the top 0.1% of practitioners.

Problem Solving & System Design

System Design & Backend Architecture

DSA & Full Stack Development

MLOps & Computer Vision

Python, Math for ML & Neural Networks

Data Analytics, SQL & Business Intelligence

Problem Solving & System Design

System Design & Backend Architecture

DSA & Full Stack Development

MLOps & Computer Vision

This isn't an AI content library. It's a system built around AI-era progress.

Learn online through the week. Build in the Lab on campus every weekend.

Machine learning to agentic systems, in a single path.

The people who guide you are building AI for a living.

Every project ends as a working, deployed AI system.

The practice environment matches the work environment.

Community, accountability and career support.

Practitioners take sessions through the program.

Learn online through the week. Build in the Lab on campus every weekend.

Machine learning to agentic systems, in a single path.

The people who guide you are building AI for a living.

Every project ends as a working, deployed AI system.

The practice environment matches the work environment.

Community, accountability and career support.

Practitioners take sessions through the program.

What happens in the weekend Lab

Will you be certified? Of course! It’ll look great on your resume and LinkedIn

Add an Online M.Tech in AI/ML from BITS Pilani

Which roles does this program prepare you for?

Hybrid (Online + Weekend In-Person) vs online AI course vs M.Tech alone

Online + weekend in-person

Online AI course

Online M.Tech in AI/ML alone

This program is new. The career engine behind it is not.

Real AI-era career moves, not generic success stories.

Be honest with yourself about this part

Join if you

Skip this if you

How does placement support work?

Career counselling

Profile building

Interview prep

Company access

37,000+ tech professionals. Your next network.

Featured in the News

Why is the program 2 years long?

What is the expected weekly time commitment?

Can I realistically manage this alongside a full-time job?

Why should I commit to 2 years when shorter AI programs are available?

What happens if I occasionally miss a session?

What happens if I fall behind?

How will the program stay relevant over 2 years when AI is changing so quickly?

Do I need to pay the entire fee upfront?

Can I get a scholarship?

Is there an additional discount for Scaler Alumni?

Is there a referral benefit?

About the Online M.Tech in AI/ML from BITS Pilani

Become the AI engineer companies are hiring for

Learn Agentic AI in depth

Build every weekend in a working Lab

Will you be certified? Of course! It’ll look great on your resume and LinkedIn

37,000+ tech professionals. Your next network.

Will you be certified? Of course! It’ll look great on your resume and LinkedIn