AI-Led Curriculum
From observability pipelines to agentic workflows. You finish the program able to build and operate AI-powered infrastructure.
From infrastructure fundamentals to AI-native operations, built for engineers who want to stay ahead. specialisation in MLOps and Cybersecurity
AI built into every module, not added after.
Foundations that last. AI that compounds.
Every tool, every module, taught the way it runs in real environments.
AI Shift
The roles being created now require stronger fundamentals, faster execution, and the ability to build with AI.
Ready to join Scaler and take your first step towards success?
who it is for?
The problem is not experience. It is that your current stack does not include the AI-native layer companies now expect from senior DevOps.

I don't want years of legacy tasks. I want to start at the cutting edge of AI infrastructure.
What you'll gain
Infrastructure Is Now Intelligent
AI runs through every lab, project, deployment, and incident simulation. Here is how:
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
Linux runs everything. Every container, cloud instance, and AI training node runs Linux. This foundation is permanently relevant

Master the Linux command line from scratch. File management, process control, networking, and text processing. Build the foundation every DevOps engineer needs before touching any tool.
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.
Instrument 3 microservices with OpenTelemetry, train anomaly detection models, and build predictive alerting that fires before thresholds breach.


AI-powered anomaly detection predicts incidents 15 minutes before they happen
Design permission-scoped AI agent boundaries, build approval gates for high-risk actions, and simulate privilege escalation attacks on HIPAA systems.


AI agents operate under least-privilege with human approval gates for destructive actions
Build ML-driven traffic forecasting, predictive K8s autoscaling, and a FinOps dashboard that cuts cloud spend by 20%+ for 800K concurrent viewers.


ML forecasts scale infrastructure 30 minutes ahead of demand spikes
Build a RAG system over 500+ runbooks, an agentic incident responder for Tier-1 failures, and multi-agent orchestration with safety guardrails.


RAG-powered agents autonomously diagnose and resolve pipeline failures
Design multi-account AWS ML architecture with CI/CD pipelines, drift detection, zero-trust security, and human-in-the-loop model governance.


Drift detection triggers automatic retraining with compliance-grade audit trails
instructors / mentors
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.

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 Vilas Varghese
BITS Pilani alumnus with 4 AWS certifications. Two decades simplifying complex DevOps and cloud concepts.
4.8
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
9.8x
Growth in MLOps roles over five years — LinkedIn's Emerging Jobs Report called it the standout role of the decade
LinkedIn Emerging Jobs Report, 2025
41.8%
Year-over-year growth in AI/ML engineer roles as of Q1 2025 — with MLOps making up a fast-growing share
Keller Executive Search / Jobspikr, 2025
25-35%
Salary premium for MLOps engineers over standard DevOps — the AI production bottleneck that every company is desperate to fix
Spaculus / Acceler8 Talent, 2026
<2%
Unemployment rate for DevOps engineers — one of the lowest of any tech role, now even tighter with AI/MLOps demand
Wealthvieu / BLS Projections, 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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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.
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FREQUENTLY ASKED QUESTIONS
Still having doubts regarding program details?
Reach out to the team for more information.
In today’s technology-driven world, software delivery needs to be faster, more reliable, and more scalable than ever. That’s where DevOps comes in a dynamic approach that bridges software development (Dev) and IT operations (Ops), helping teams deliver better products, faster. The DevOps culture emphasizes collaboration, automation, and continuous improvement, making it essential for anyone aiming for a successful tech career.
Over the past decade, DevOps has transformed from a niche set of practices into a must-have discipline for modern organizations. Companies across every industry, from fintech to healthcare, e-commerce to entertainment, are adopting DevOps to stay competitive. As a result, the demand for professionals skilled in DevOps practices has skyrocketed, with DevOps engineer jobs ranking among the fastest-growing roles worldwide.
But how do you build a rewarding DevOps career? It all starts with choosing the right DevOps course.
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