The B.Tech in Cloud Computing Syllabus 2025 is designed to build industry-ready cloud specialists capable of designing, deploying, managing, and securing large-scale cloud infrastructures. The curriculum blends software engineering fundamentals with cloud platforms, virtualization, distributed systems, DevOps, automation, and AI-powered cloud solutions.
Aligned with AICTE guidelines and NEP 2020, the 2025 syllabus emphasizes hands-on practice through cloud labs, containerization, microservices development, and real-world deployment projects on AWS, Azure, and Google Cloud.
The B.Tech Cloud Computing curriculum gives students deep knowledge of:
The program prepares students for roles in cloud engineering, SRE, system administration, DevOps, and cloud architecture.
The program is spread across 8 semesters, combining technical theory, practical cloud labs, and real-world projects.
Key learning areas include:
Core Area | Topics Covered |
| Programming & Systems | C, Java, Python, OS, Linux |
| Cloud Infrastructure | Virtualization, IaaS, Storage Solutions |
| Cloud Platforms | AWS, Azure, GCP Architecture |
| DevOps | Git, Docker, Jenkins, CI/CD |
| Cloud Security | Identity Management, Firewalls, Compliance |
| Networking | VPC, Load Balancing, DNS, Routing |
| Distributed Systems | Hadoop, Spark, Microservices |
| AI in Cloud | Monitoring, Auto-Scaling, Optimization |
Elective Domain | Sample Topics |
| Advanced DevOps | Terraform, Ansible, Infrastructure as Code |
| Cloud Security | Zero-Trust Security, Cloud Encryption |
| Big Data Engineering | Hadoop, Spark, Kafka |
| AI & Cloud Automation | Cloud Analytics, ML Pipelines |
| Blockchain on Cloud | Smart Contracts, Cloud Deployment |
| IoT & Edge Computing | Fog Computing, IoT Integration |
| Mobile Cloud Applications | API Development, Backend Services |
To get admission, students prepare for exams like JEE Main, BITSAT, SRMJEEE, VITEEE, WBJEE, KCET, etc.
Subject | Recommended Book |
| Cloud Fundamentals | "Cloud Computing: A Hands-On Approach" by Arshdeep Bahga |
| Virtualization | "Mastering VMware vSphere" by Nick Marshall |
| AWS Cloud | "AWS Certified Solutions Architect Official Study Guide" |
| DevOps | "The DevOps Handbook" by Gene Kim |
| Networks | "Computer Networks" by Andrew S. Tanenbaum |
| Distributed Systems | "Designing Data-Intensive Applications" by Martin Kleppmann |
Sample project topics include:
Internships are mandatory in cloud companies, DevOps teams, or IT firms.
Yes, students work on real cloud platforms like AWS, Azure, and Google Cloud.
They practice containerization, deployment, virtualization, and DevOps automation.
Hands-on labs form a major part of the curriculum.
The course covers Python, Java, Shell Scripting, and Basics of Go/Node.js.
These languages are essential for building cloud applications and automation tools.
Yes, students learn Git, Docker, Kubernetes, Jenkins, Terraform, and Ansible.
These tools help automate cloud deployments and build CI/CD pipelines.
Yes, cloud security is a major subject including identity management, encryption, IAM, and secure configurations.
Students also learn about compliance frameworks and risk management.
Yes, internships are compulsory in the 3rd or 4th year.
Students work with cloud teams, DevOps engineers, or IT departments to gain industry exposure.
Students work on AWS, Microsoft Azure, and Google Cloud Platform.
Multi-cloud exposure helps improve job opportunities.
Yes, coding starts from basics.
Students gradually learn programming, automation, Linux commands, and scripting.
Interest in technology is more important than prior coding skills.
Cloud Engineer, DevOps Engineer, Site Reliability Engineer (SRE), Cloud Administrator, Cloud Security Analyst, Multi-Cloud Specialist, and System Architect.