Bachelor of Technology in Cloud Computing (B.Tech Cloud Computing)
Bachelor of Technology in Cloud Computing Syllabus
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.
Table of Contents
- Overview of B.Tech in Cloud Computing Syllabus 2025
- Semester-Wise Cloud Computing Syllabus
- Important Subjects in Cloud Engineering
- Core Subjects in B.Tech Cloud Computing
- Elective Subjects in Cloud Computing
- Cloud Computing Entrance Exam Syllabus
- Recommended Books & Study Material
- Course Structure & Evaluation Pattern
- Projects & Practical Training
- FAQs on B.Tech Cloud Computing Syllabus
Overview of B.Tech in Cloud Computing Syllabus 2025
The B.Tech Cloud Computing curriculum gives students deep knowledge of:
- Cloud infrastructure & virtualization
- Distributed computing systems
- DevOps & automation
- Cloud networking & security
- Containerization & orchestration
- Serverless architectures
- AI-driven cloud operations
The program prepares students for roles in cloud engineering, SRE, system administration, DevOps, and cloud architecture.
Semester-Wise B.Tech Cloud Computing Syllabus 2025
The program is spread across 8 semesters, combining technical theory, practical cloud labs, and real-world projects.
Year 1 – Computing & Engineering Fundamentals
Semester 1
- Engineering Mathematics I
- Programming in C
- Digital Logic Design
- Engineering Physics
- Communication Skills
Semester 2
- Data Structures
- Object-Oriented Programming in Java
- Computer Organization
- Engineering Chemistry
- Environmental Science
Year 2 – Core Computing Concepts
Semester 3
- Operating Systems
- Computer Networks
- Database Management Systems
- Discrete Mathematics
Semester 4
- Web Technologies
- Cloud Fundamentals
- Probability & Statistics
- Mini Project
Year 3 – Advanced Cloud Technologies
Semester 5
- Virtualization & Hypervisors
- AWS Cloud Architecture
- Linux System Administration
- Cloud Security Principles
- Project Work
Semester 6
- DevOps & CI/CD Pipelines
- Kubernetes & Container Orchestration
- Serverless Computing
- Research Methodology
- Internship Program
Year 4 – Specializations & Professional Training
Semester 7
- Multi-Cloud Management (AWS/Azure/GCP)
- Cloud Automation Tools (Terraform/Ansible)
- Elective I
- Industrial Training
Semester 8
- Cloud Performance Optimization
- Edge Computing & Fog Computing
- Elective II
- Major Capstone Project
Important Subjects in B.Tech Cloud Computing
Key learning areas include:
- Virtualization & Cloud Architecture
- DevOps & Automation Tools
- Cloud Network Security
- Containerization (Docker)
- Kubernetes Services
- AI-Driven Cloud Analytics
- Serverless Architecture
- Distributed File Systems
Core Subjects in B.Tech Cloud Computing
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 Subjects in B.Tech Cloud Computing
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 |
Entrance Exam Syllabus for B.Tech Cloud Computing
To get admission, students prepare for exams like JEE Main, BITSAT, SRMJEEE, VITEEE, WBJEE, KCET, etc.
Common Entrance Test Subjects:
- Mathematics: Algebra, Calculus, Probability, Trigonometry
- Physics: Mechanics, Waves, Electricity & Magnetism
- Chemistry: Organic, Inorganic & Physical Chemistry
- Aptitude: Reasoning & Numerical Ability
Recommended Books for Cloud Computing Engineering
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 |
Course Structure & Evaluation Framework
- Program Duration: 4 Years (8 Semesters)
- Credit System: CBCS (Choice-Based Credit System)
- Evaluation Pattern:
- Internal Assessment – 40%
- External Exams – 60%
- Internal Assessment – 40%
Teaching Methodology:
- Classroom Lectures
- Cloud Labs
- Deployment Workshops
- Hands-On Projects
Projects & Practical Training
Sample project topics include:
- Cloud-Hosted E-Commerce Platform
- Kubernetes-Based Microservices Application
- Serverless API with AWS Lambda
- Cloud-Based File Storage & Backup System
- Automated CI/CD Pipeline using Jenkins
- Cloud Security Monitoring Dashboard
- AI-Based Cloud Cost Optimization Tool
Internships are mandatory in cloud companies, DevOps teams, or IT firms.
FAQs
1. Does the B.Tech Cloud Computing syllabus include practical cloud labs?
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.
2. Which programming languages are taught in this course?
The course covers Python, Java, Shell Scripting, and Basics of Go/Node.js.
These languages are essential for building cloud applications and automation tools.
3. Are DevOps tools included in the syllabus?
Yes, students learn Git, Docker, Kubernetes, Jenkins, Terraform, and Ansible.
These tools help automate cloud deployments and build CI/CD pipelines.
4. Is cloud security part of the curriculum?
Yes, cloud security is a major subject including identity management, encryption, IAM, and secure configurations.
Students also learn about compliance frameworks and risk management.
5. Are internships mandatory in this program?
Yes, internships are compulsory in the 3rd or 4th year.
Students work with cloud teams, DevOps engineers, or IT departments to gain industry exposure.
6. What cloud platforms do students learn during the course?
Students work on AWS, Microsoft Azure, and Google Cloud Platform.
Multi-cloud exposure helps improve job opportunities.
7. Is B.Tech in Cloud Computing suitable for non-coding students?
Yes, coding starts from basics.
Students gradually learn programming, automation, Linux commands, and scripting.
Interest in technology is more important than prior coding skills.
8. What job roles can students apply for after studying this syllabus?
Cloud Engineer, DevOps Engineer, Site Reliability Engineer (SRE), Cloud Administrator, Cloud Security Analyst, Multi-Cloud Specialist, and System Architect.
