About the Programme
This Cloud Systems and Infrastructure Management Certificate Programme by IIT Bhubaneswar and TCS iON is a 12-14 week, industry-focussed course designed to equip graduates and professionals with in demand Cloud Computing skills. Taught by IIT professors and industry experts, this programme covers core concepts of Cloud Computing, Virtualization and Containerization, Cloud Architecture, Cloud Security and Data Management, Cloud Deployment and Practical Applications and AI for Cloud Deployment along with hands-on training to ensure that learners gain practical experience with tools like GCP, Azure, AWS, EC2, Hadoop, MapReduce, CNN, GenAI and ML tools, enabling learners to solve complex problems and transform their professional journey.
This course is ideal for graduates and professionals looking to build expertise in Cloud Computing. With interactive live sessions and practical training, learners will gain job-ready skills. Learners will be given certification based on their performance and Top performers also get internship opportunities at IIT Bhubaneswar.
Read More...Key Highlights
Offered by IIT Bhubaneswar and TCS iON
3-month industry-focussed course
Exposure to cutting-edge tools
Modular quiz and assignments
Live Lectures every week for interactive learning and doubt clearing
Learn from IIT professors and TCS industry experts
Comprehensive curriculum with dedicated hands-on sessions
The participants are expected to have developed the following skills by the end of the programme:
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Understand Cloud Computing fundamentals, including Cloud Service Models, Cloud Deployment Models, Cloud Computing Providers and Ecosystem
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Learn Virtualization Technologies, Hypervisors and Virtual Machines, Containerization, Microservices and Container Orchestration
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Understand Cloud Infrastructure and Networking, Scalability and Elasticity, Load Balancing and Content Delivery
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Understand Cloud Security Concerns and Solutions
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Learn deploying applications in the cloud
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Hands-on skills using tools like GCP, Azure, AWS, EC2, Hadoop, MapReduce, CNN, GenAI and ML tools
Learning Outcomes
Develop Hands-on Expertise In
GCP
Azure
AWS
Amazon CloudWatch
EC2
Hadoop
MapReduce
CNN
Grafana
Docker and Docker Compose
Minikube
TensorFlow
GPT-4
OpenCV
Potential Career Path
The field generates a variety of job roles, including but not limited to:
The average salary range of the above job roles is ₹5LPA - ₹12LPA.
Cloud Junior Developer
Cloud Software Engineer
Cloud Architect
Cloud Support Engineer
Junior Systems Administrator (Cloud)
Certificate Programme Recommended for
Freshers and individuals pursuing Bachelor's/Master's degree, aspiring for a career in the field of Cloud Computing
Junior and mid-career professionals looking for an accelerated career growth and salary hike
Individuals interested to pursue research in the field of Cloud Computing to gain foundational skills and apply domain knowledge to run a start-up
Programme Pedagogy
Expert-led live sessions
Engage in dynamic training sessions conducted by distinguished faculty from IIT Bhubaneswar along with seasoned industry professionals.
Recorded session videos
Access educational content on-demand, available for learning on any device, at any time, ensuring flexibility and convenience for revisiting the material.
Industry use cases
Get real-world experience and enhance your understanding of complex business situations through use cases.
Peer networking and expert connect
Expand your professional network and engage with experts through our interactive community platforms, facilitating enhanced learning and problem-solving.
Hands-on learning experiences
Participate in practical sessions where you will work with real-world data and public datasets, fostering a deep, experiential understanding of the material.
Live doubt solving sessions
Address your queries in real-time with direct access to experts during live sessions, ensuring clarity and immediate assistance.
Dedicated learning management team
Receive continual guidance and support from our committed learning management team, tailored to meet your educational needs and enhance your learning journey.
Programme Syllabus Overview
Download Program CalendarThis comprehensive syllabus covers the latest industry practices and techniques on Cloud Systems and Infrastructure Management Programme and is structured into six modules as a structured path which spans across three months. The course curriculum is designed such that it aligns with the current industry trends and practices, making graduates job-ready and valuable to organisations. In addition, the course guides the learners through the intricacies of the concepts with hands-on implementations on case studies and scenarios as per the industry standards. Each module provides a solid foundation in building proficiency by ensuring a cohesive and thorough understanding from the basic to the advanced topics leveraging extensive hands-on implementations.
- Definition and Significance of Cloud Computing
- Cloud Service Models (IaaS, PaaS, SaaS)
- Cloud Deployment Models (Public, Private, Hybrid, Community)
- Cloud Computing Providers and Ecosystem
- Virtualization Technologies
- Hypervisors and Virtual Machines
- Containerization (e.g., Docker and Kubernetes)
- Microservices and Container Orchestration
- Cloud Infrastructure and Networking
- Scalability and Elasticity
- Load Balancing and Content Delivery
- Monitoring and Management Tools
- Cloud Security Concerns and Solutions
- Identity and Access Management (IAM)
- Data Backup, Storage and Retrieval
- Data Privacy and Compliance
- Deploying Applications in the Cloud
- Google Cloud (GCP)
- Microsoft Azure
- Amazon Web Services
- Create S3 Storage Service
- Create EC2 Instance on AWS
- Create IAM Security Setup on AWS
- Hadoop and MapReduce Programming
- Case Studies and Real-World Cloud Solutions
- Cloud Cost Management and Optimization
- Need and Justification for Expert Systems - Cognitive Problems
- Neural Networks
- Expert System Architectures
- Natural Language Processing (NLP)
- Structure of Neural Networks
- Functional Units of ANN for Pattern Recognition Tasks
- Pattern Classification using Perceptron
- Multilayer Feed-Forward Neural Network (MFFNN)
- Back Propagation Learning
- Generative AI
Live lectures: Every Saturday 9 AM to 1.15 PM starting from 8th November 2025 | Assignments and Quiz (MCQ) accessible from Saturday 3PM - Monday 11:30PM from 15th November 2025 at the end of every Module |
Certificate Eligibility Criteria
- Learners will be awarded a co-branded certificate upon successful completion of the programme. The course evaluation components are modular quizzes and assignments.
- Certificate of Participation (CoP): If a learner has scored less than 35% in the course evaluation criteria, then a CoP will be awarded.
- Certificate of Achievement (CoA): If a learner has scored within the range of 35% to 75% in the course evaluation criteria, then a CoA will be awarded.
- Certificate of Excellence (CoE): If a learner has scored greater than 75% in the course evaluation criteria, then a CoE will be awarded.
Meet the Mentor(s)
Dr. Padmalochan Bera is an Associate Professor of Computer Science and Engineering in the School of Electrical and Computer Sciences at the Indian Institute of Technology Bhubaneswar (IIT Bhubaneswar), India.
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Dr. Sateesh K. Peddoju is an Associate Professor at Indian Institute of Technology Roorkee, India. He is a Senior Member of ACM and IEEE, and a recipient of the Cloud Ambassador Award from AWS Educate, IBM SUR Award,
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Dr. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.
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Dr. Manoranjan Satpathy is a Professor of Computer Science and Engineering at IIT Bhubaneswar. He has completed his education in Computer Science from IISc Bangalore, IIT Kanpur and IIT Bombay.
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Dr. Satendra Kumar is an Assistant Professor in the Computer Science and Engineering Department at the Indian Institute of Technology, Patna. Prior to this, he served as an Assistant Professor at Thapar Institute of Engineering and Technology, Patiala.
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Dr. Pragati Shrivastava, a PhD from IIT Hyderabad, specialises in Software-Defined Networks, Programmable Data Plane, and Network Security, complemented by an M.Tech from IIITM Gwalior.
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Dr. Soumya K Ghosh is a Professor in the Department of Computer Science and Engineering, IIT Kharagpur. His primary areas of research include Geospatial Databases and Services, Cloud Computing and Security.
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Dr. Shreya Ghosh is an Assistant Professor of Computer Science and Engineering in the School of Electrical Sciences, IIT Bhubaneswar. Before joining IIT Bhubaneswar, she was a postdoctoral scholar at Pennsylvania State University.
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Dr. Ramesh is Senior Technical Fellow and Thrust Area Lead for Model-based Embedded Software at General Motors. He has extensive experience in the areas of formal specification
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Dr. Debi Prasanna Sahoo is an Assistant Professor of Computer Science and Engineering in the School of Electrical and Computer Sciences, IIT Bhubaneswar. Before joining IIT Bhubaneswar, he was an Assistant Professor at IIT Roorkee.
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Dr. Ram Prasad Padhy is an Assistant Professor of Computer Science and Engineering in the School of Electrical Sciences, IIT Bhubaneswar. Prior to joining IIT Bhubaneswar, he was an Assistant Professor in the department of Computer Science and Engineering at IIIT DM Kancheepuram.
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Dr. Devashree Tripathy is an Assistant Professor of Computer Science and Engineering in the School of Electrical Sciences, IIT Bhubaneswar. Her research spans in Computer Architecture, Machine Learning (ML), Hardware/Software codesign of AI systems
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Debashis Roy has completed ME in Software Engineering from Jadavpur University, Kolkata. He works as a Domain Consultant and Subject Matter Expert at Tata Consultancy Services.
Read More...FAQs
Please take a look at the most frequently asked questions, you might have your query answered here.
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The course has been meticulously designed for both Freshers/Individuals pursuing Bachelor's/Master's degree and working professionals, with emphasis on hands-on experience and practical exposure to cutting-edge cloud computing tools and technologies. The learners will get access to live lectures, hands-on implementation, assignments, quizzes, industry use cases and mentorship of renowned industry and IIT Bhubaneswar faculty members.
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In case a learner misses a live lecture, he/she will be provided access under Live Lecture learning component, to view the recorded version of the session within and for a specified time frame.
- Device: A standard Desktop/Laptop/Tablet/Smartphone with camera and mic.
- Internet: A regular broadband/Wi-Fi connection or a mobile 4G connection.
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A learner can conveniently connect among the members at an appointed time for group work, outside the live classes. Learners can also use the platform 24x7 to engage and learn from their peers using our digital discussion rooms available under the course of the programme. Our platform also has a provision of group-specific discussion forums for offline discussion among the group members.
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The duration of this programme is 3 months.
- Certificate of Participation (CoP): If a learner has scored less than 35% in the course evaluation criteria, then a CoP will be awarded.
- Certificate of Achievement (CoA): If a learner has scored within the range of 35% to 75% in the course evaluation criteria, then a CoA will be awarded.
- Certificate of Excellence (CoE): If a learner has scored greater than 75% in the course evaluation criteria, then a CoE will be awarded.
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Please note that the course fees is not refundable under any circumstances. Also, the course fee is not transferable for any other course on the TCS iON platform or for any other purpose. We will be with you at every step for your upskilling and professional growth needs.
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Yes. Learners can use the India Toll Free helpline - 1800 266 6282 or email us at info.tcsionhub@tcs.com.