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.
Online
4 Months
IITM Pravartak Technologies Foundation
Technology Innovation Hub (TIH) of IIT Madras
and
TCS
₹ 60,000/- (Incl. of all applicable taxes)
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.
Enthusiast with the zeal to learn and practice Cloud computing having basic understanding of AI
Wednesdays and Saturdays 8pm to 9.30pm
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.
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