About the Programme
Course Overview:
The AI-Powered Cloud and DevOps programme 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.
Who Should enrol?
Final year students, freshers, pass-outs (career starters or job seekers),and working professionals with 0–5 years of experience. This programme is ideal for those looking to transition into or grow in Cloud, DevOps, and SRE roles by strengthening relevant skills and practices.
Industry Demand:
Demand for AI-Powered Cloud and DevOps skills is growing rapidly, driven by the need to manage increasingly complex, distributed, and multi-cloud environments. The market is shifting from traditional automation to AI-assisted automation, with the Cloud and DevOps sector projected to increase by over USD 8.6 billion between 2024 and 2029, at a CAGR of 26.6%. By 2026, 70% of DevOps tasks are expected to be automated or augmented by AI.
Key Highlights
150 hours of overall experiential learning
Modular Assignments, Modular Quizzes, Capstone Projects, Campus Immersion* (*Optional)
Discussion room community
Opportunities to interact and learn from IITM Pravartak SMEs and domain experts from the industry
Get access to Tutorials, Assignments, Presentations and Class notes
2 days* Campus Immersion (*Tentative)
Develop the Skills
By the end of the programme, learners are expected to acquire the following:
- Concepts of Cloud computing, DevOps, and AIOps
- Gain hands-on experience with multi-cloud services like compute, intelligent storage, networking, IAM, and smart security
- Develop practical expertise in Linux, networking, scripting, and troubleshooting
- Acquire proficiency in CI/CD pipelines
- Hands-on experience with Docker and Kubernetes powered with Gen-AI
- Proficiency in cloud monitoring, observability with Grafana Prometheus
- Acquire knowledge of optimizing cloud functions powered by AI autonomy
- Be proficient in demonstrating cloud-DevOps deployment powered by AI and operational capabilities
Develop Hands-on Expertise In
Potential Career Path
The field generates a variety of job roles, including but not limited to:
- DevOps Engineer
- Cloud Engineer
- Site Reliability Engineer (SRE)
- Platform Engineer
- DevSecOps Engineer
- FinOps Engineer
Certificate Programme Recommended for
-
Final Year Students, Freshers, Pass-outs
Freshers/individuals pursuing Bachelor's/Master's degree, who are looking to gain job-ready Cloud and DevOps skills. Pass-out candidates looking to upskill or reskill in high-demand Cloud, DevOps, and AI-enabled technologies aligned with current industry needs -
Working Professionals (0 to 5 years of experience)
To transition or progress into Cloud, DevOps, SRE, or AIOps roles by adopting AI-powered automation practices -
Prerequisites
Enthusiast with the zeal to learn and practice Cloud Computing and having basic understanding of AI
Programme Pedagogy
Expert-led live sessions
Get trained by the eminent professors of IITM Pravartak and industry experts
Recorded session videos
Learn anytime, anywhere, and on any device
Modular assignments
Work on Application-based assignments, developing scripts powered by Gen AI
Capstone projects
Demonstrate practical application by integrating the learning outcome into a real-world challenge
Peer networking and expert connect
Improve your learning network and ask queries to the experts through communities
Enriched with hands-on sessions
Learners will get ample opportunities for hands-on learning by getting real-world content and public datasets
Digital certificate
Successful learners will receive a digital certificate upon successful completion of the programme
Campus immersion programme
Learners will experience a 2-days campus Immersion* during the programme (Travel and accommodation would be borne by the learners)
Dedicated help desk
Get your queries resolved by connecting with our dedicated help desk
Programme Syllabus Overview
This comprehensive syllabus will be delivered through a combination of Self-paced Learning, Live Lectures, Recorded Session Videos, Capstone Projects, Community-based Digital Classrooms as applicable.
- 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
Certificate Eligibility Criteria
Learners will be awarded a co-branded digital certificate upon successful completion of the programme.
- Certificate of Completion (CoC): Participants who successfully meet the evaluation criteria of > 50% marks or above in overall score, which includes the required live lecture attendance of 20%, Quiz 30%, Modular Assignments 30% and Capstone Project 20%, then a CoC will be awarded.
- Certificate of Participation (CoP): Participants who are unable to meet the evaluation criteria and score < 50% marks, then a CoP will be awarded.
- There will be 8 quizzes. The quiz is MCQ-based without any negative marking. Each quiz will be conducted after completion of every module.
- There will be 8 Modular Assignments. Each Modular Assignments are conducted at the end of every module.
The Course Evaluation components are as below:
| Sr. No. | Learning Components | Weightage | Certificate of Completion | Certificate of Participation |
|---|---|---|---|---|
| 1 | Live Lecture Attendance | 20% | Candidates securing 50% or above in the overall score | Candidates securing below 50% in the overall score |
| 2 | Quiz | 30% | ||
| 3 | Modular Assignment | 30% | ||
| 4 | Capstone Project | 20% |
Meet the Mentor(s)
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.
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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.
Read MoreContact Us
For queries, feedback & assistance
FAQs
Please take a look at the most frequently asked questions, you might have your query answered here.
2. Login with your TCS iON Digital Learning Hub credentials or sign up as a new user.
3. You need to proceed to make the payment by clicking on "Click to Pay". EMI options are available.
4. You will receive a successful purchase message on your registered email ID.
a. Device: A standard desktop/laptop with a camera and microphone, with at least 8 GB RAM, and a standard SSD/HDD, running the latest version of Windows, Ubuntu, or RHEL OS
b. Internet: A regular broadband/Wi-Fi connection or a minimum 4G/5G mobile connection
Cloud Infrastructure: Students must create their own AWS account. This is required for hands-on activities related to Amazon SageMaker
| Sr. No | Learning Components | Weightage | Certificate of Completion | Certificate of Participation |
|---|---|---|---|---|
| 1 | Live Lecture Attendance | 20% | Candidates securing 50% or above in the overall score | Candidates securing below 50% in the overall score |
| 2 | Quiz | 30% | ||
| 3 | Modular Assignment | 30% | ||
| 4 | Capstone Project | 20% |
Certificate of Completion: Awarded to candidates scoring 50% and above in the overall score
Certificate of Participation: Awarded to candidates scoring below 50% in the overall score