Program Description

The AI‑Powered Cloud and DevOps program equips learners with the skills to design, automate, optimize, and monitor cloud‑native applications using AI‑driven insights—enabling faster, smarter, and more reliable software delivery. The pedagogy is 80% hands‑on, where learners work on real‑world use cases, application‑oriented assignments, and capstone projects. This approach helps them develop a deeper understanding of the concepts and the practical implementation of Cloud and DevOps topics.

Key Highlights

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Learn the Concepts of Cloud computing, DevOps, and AIOps

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Gain hands‑on experience with multi‑cloud services like compute, intelligent storage, networking, IAM, and smart security

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Develop practical expertise in Linux, networking, scripting, and troubleshooting

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Acquire proficiency in CI/CD pipelines

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Hands-on experience with Docker and Kubernetes powered with Gen‑AI

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Proficiency in cloud monitoring, observability with Grafana Prometheus

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Acquire knowledge of optimizing cloud functions powered by AI autonomy

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Be proficient in demonstrating cloud‑DevOps deployment powered by AI and operational capabilities

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150 hours of overall experiential learning

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Modular Assignments, Modular Quizzes, Capstone Projects, Campus Immersion (Optional)

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Discussion room community

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Opportunities to interact and learn from IITM Pravartak SMEs and domain experts from industry

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Get access to tutorials, Assignments, Presentations and class notes

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2 days* Campus Immersion (*Tentative)

Learning Format

Online

Duration

4 Months

Certified by

IITM Pravartak Technologies Foundation
Technology Innovation Hub (TIH) of IIT Madras and
TCS

Program Fee

₹ 60,000/- (Incl. of all applicable taxes)

Education Qualification

Final‑year students, freshers, pass-outs(career starters or job seekers), working professionals with 0–5 years of experience. This program is ideal for those looking to transition into or grow in Cloud, DevOps, and SRE roles by strengthening relevant skills and practices. 

Suggested Prerequisites

Enthusiast with the zeal to learn and practice Cloud computing having basic understanding of AI

Teaching Hours

Wednesdays and Saturdays 8pm to 9.30pm

Lead Faculty

Srikanth Valuthur
IITM Pravartak Technologies Foundation
Hybrid Cloud Platform Services Leader | Strategic Client Advocate & Technology Advisor | Cloud Business SME & Revenue Growth Leader | Cost Savings Strategist | Award-Winning People Leader.

With 30+ years of experience, I am a certified and recognised senior strategic techno-managerial advisor and client advocate. I am an award-winning Cloud Business SME and people leader, with a proven track record of driving initiatives to enhance Cloud and Infrastructure Services and expanding cloud practice segments. My experience in account management, cloud transformations, automation, and transitions has enabled successful implementations and strengthened my role as a tactical technology advisor.

Recognised for exceptional people leadership, I have built and sustained strong CXO relationships to transform profitable accounts, improve productivity, maximise asset utilisation, and manage governance for client and transformation projects. I have collaborated with 450+ CXOs, DC Heads, and Customer VPs, working closely with both internal and external C-level executives.

I am a result-oriented techno-business champion, known for designing robust solutions based on cloud reference architectures and project portfolios, and for shaping strategies across cybersecurity, cloud computing, infrastructure services, digital strategy, and transformation. As a trusted advisor, I contribute extensively to client consulting, strategy development, architecture, change management, revenue growth, and project success.

Driving end-to-end DC and cloud transformation deals for prominent clients:
Mastercard | Shell | AstraZeneca | World Bank | UNDB | IMF | ADB | Western Union | WPP | Videocon | Domino’s | Maersk Group of Companies

 

Debashis Roy
Domain Consultant | Subject Matter Expert (SME)
Tata Consultancy Services
Industry Expert

Debashis Roy works as a Domain Consultant and Subject Matter Expert (SME) at Tata Consultancy Services. He has over two decades of experience in Higher Education and Corporate Learning Programs, delivering end-to-end learning solutions to domestic and international corporate customers.

He is currently engaged in conducting live sessions for various online certificate programs delivered in association with Institutes of National Importance (INIs) such as IIT Dhanbad, IIT Ropar, and ISI Kolkata, among others.

Working as an SME and Technical Lead, he focuses on the demonstration and implementation of advanced concepts across multiple technology domains, including Data Engineering, Data Science, Cloud Computing and Architecture, Artificial Intelligence and GenAI, MLOps, DataOps, Cybersecurity, IoT, and more. His role also provides opportunities to create hands-on environments for leveraging distributed applications and data pipelines.

He holds an M.E. (Software Engineering) from Jadavpur University, Kolkata.

Learning Module

Evolution of IT to Cloud, DevOps & AI Ops

Cloud Service & Deployment Models

DevOps principles & CALMS

Introduction to AI in Cloud & DevOps

Compute services & scaling concepts     

Storage types & use cases using Agentic AI 

Cloud networking fundamentals 

Load balancing, Intelligent LB & DNS 

IAM fundamentals & shared responsibility 

Basic cloud security hygiene 

Linux filesystem, processes & permissions 

Package & service management 

Networking basics (DNS, ports, HTTP) 

Bash scripting for automation 

Basic troubleshooting 

Git & branching strategies 

CI concepts & pipelines with Agentic AI 

Intro to Jenkins / GitHub Actions 

Artifact repositories concepts 

Containers vs VMs 

Docker architecture 

Dockerfiles & images 

Container registries 

Running & managing containers use case running Agentic AI on Docker 

Kubernetes architecture 

Pods, Deployments & Services 

ConfigMaps & Secrets (intro) 

Scaling & health checks 

Intro to Helm 

Monitoring vs logging vs observability 

Metrics & alerts 

Prometheus Intelligent architecture 

Grafana AI Powered dashboards 

SLA & SLO basics 

Cloud pricing models 

Cost drivers 

Tagging & budgets 

Intro to FinOps mindset 

CI/CD pipeline 

Docker containerization 

Kubernetes deployment 

Monitoring setup 

Cost visibility explanation



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