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M-TECH in Cloud Computing at Koneru Lakshmaiah Education Foundation (Deemed to be University)
Guntur, Andhra Pradesh
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About the Specialization
What is Cloud Computing at Koneru Lakshmaiah Education Foundation (Deemed to be University) Guntur?
This Cloud Computing program at Koneru Lakshmaiah Education Foundation focuses on equipping students with advanced knowledge and practical skills in cloud infrastructure, services, security, and application development. With India''''s rapid digital transformation, there is a significant demand for cloud professionals. This program stands out by integrating core cloud concepts with cutting-edge technologies like DevOps and microservices.
Who Should Apply?
This program is ideal for engineering graduates with a background in Computer Science, Information Technology, or related fields, seeking to specialize in the rapidly growing cloud domain. It also caters to working professionals aiming to upskill in cloud architecture, development, or operations, preparing them for leadership roles in Indian IT companies and global enterprises with a significant presence in India.
Why Choose This Course?
Graduates of this program can expect diverse career paths such as Cloud Architect, Cloud Security Engineer, DevOps Engineer, Cloud Consultant, or Cloud Developer in India. Entry-level salaries can range from INR 6-8 LPA, with experienced professionals earning 15-30+ LPA. The curriculum aligns with industry certifications, fostering continuous growth in India''''s dynamic cloud job market.
Student Success Practices
Foundation Stage
Strengthen Core Computing Fundamentals- (Semester 1-2)
Dedicate time to master advanced data structures, algorithms, and computer architecture. Utilize online platforms like GeeksforGeeks and HackerRank for competitive programming practice. Engage in problem-solving sessions with peers to deepen understanding and build a strong analytical foundation crucial for complex cloud systems.
Tools & Resources
GeeksforGeeks, HackerRank, NPTEL courses on DSA and Architecture
Career Connection
A strong foundation in these areas is essential for excelling in technical interviews for core engineering roles in cloud companies and efficiently designing scalable cloud solutions.
Gain Hands-on Experience with Cloud Platforms- (Semester 1-2)
Actively participate in Cloud Computing Lab sessions and explore free tiers of major cloud providers (AWS, Azure, GCP). Complete tutorials and build small projects such as deploying a web application or setting up basic virtual networks. Document your learning and projects on GitHub.
Tools & Resources
AWS Free Tier, Azure Free Account, Google Cloud Free Program, GitHub
Career Connection
Practical experience is highly valued in the cloud industry. Demonstrable skills on leading platforms will make you a more attractive candidate for internships and entry-level cloud engineering roles.
Develop Advanced Communication and Research Skills- (Semester 1-2)
Utilize the Advanced English Communication Skills Lab to refine presentation and technical writing abilities. Start reading research papers related to cloud computing and attend departmental seminars. Practice summarizing complex technical concepts clearly and concisely, fostering critical thinking.
Tools & Resources
Academic databases (IEEE, ACM), Grammarly, Toastmasters (if available)
Career Connection
Effective communication is vital for collaborating in teams, presenting project outcomes, and succeeding in leadership roles, while research skills aid in staying current with evolving cloud technologies.
Intermediate Stage
Pursue Cloud-Specific Certifications- (Semester 2-3)
Prepare for and attempt foundational cloud certifications like AWS Certified Cloud Practitioner or Azure Fundamentals. These certifications validate your understanding of cloud concepts and specific vendor offerings, complementing your academic learning.
Tools & Resources
Official certification guides, Udemy/Coursera courses, Practice exams
Career Connection
Industry certifications significantly boost your resume, demonstrating your commitment and validated expertise to potential employers in India''''s competitive cloud market, often leading to better internship and job offers.
Engage in Mini Projects and Industry Internships- (Semester 2-3)
Leverage the Mini Project with Seminar to solve a real-world cloud problem, focusing on specific technologies learned. Actively seek summer internships with IT companies or startups specializing in cloud services. This provides crucial industry exposure and practical application of knowledge.
Tools & Resources
LinkedIn, Internshala, College placement cell
Career Connection
Internships are often a direct pathway to full-time employment, offering invaluable networking opportunities and a chance to build a professional portfolio recognized by Indian and global firms.
Participate in Cloud Hackathons and Competitions- (Semester 2-3)
Form teams and participate in national-level hackathons or coding competitions focused on cloud solutions. This fosters problem-solving, teamwork, and innovation under pressure, providing a platform to showcase your skills beyond coursework.
Tools & Resources
Devpost, MLH (Major League Hacking), College tech fests
Career Connection
Winning or even participating in such events adds significant value to your profile, catches the eye of recruiters, and helps in developing critical skills for a dynamic tech career.
Advanced Stage
Undertake a Comprehensive Cloud Research Project- (Semester 3-4)
Utilize the ''''Project Work Phase I & II'''' to conduct in-depth research or develop a complex cloud-native application. Focus on a niche area like serverless architecture, microservices, or cloud security, aiming for a demonstrable, impactful solution. Consider publishing your work.
Tools & Resources
Research papers, Cloud vendor documentation, Academic guidance
Career Connection
A strong final year project acts as a capstone, showcasing your ability to tackle advanced challenges, innovate, and contribute to the field, highly attractive for R&D roles or further academic pursuits.
Master DevOps Tools and Practices- (Semester 3-4)
Beyond coursework, get proficient with essential DevOps tools like Jenkins, Docker, Kubernetes, and Ansible. Practice setting up CI/CD pipelines, automating infrastructure deployment, and monitoring cloud applications. This skill set is in high demand for cloud operations roles.
Tools & Resources
Docker Hub, Kubernetes Documentation, Udemy/Coursera DevOps courses
Career Connection
DevOps expertise is critical for modern cloud environments. Proficiency in these tools opens doors to lucrative DevOps Engineer, SRE (Site Reliability Engineer), and Cloud Operations Engineer positions in India.
Prepare Rigorously for Placements and Interviews- (Semester 4)
Regularly practice coding questions, cloud architecture design problems, and behavioral interview questions. Attend mock interview sessions organized by the university''''s placement cell. Network with alumni and industry professionals for guidance and potential referrals.
Tools & Resources
LeetCode, Educative.io, Mock interview platforms, Alumni network
Career Connection
Thorough preparation ensures you are interview-ready, maximizing your chances of securing placements in top Indian and multinational companies, setting a strong foundation for your career in Cloud Computing.
Program Structure and Curriculum
Eligibility:
- B.Tech / B.E. in CSE/IT/CS/ECM / ECE / EEE or Equivalent with valid GATE / PGECET / GPAT scores, or qualified in KL University''''s entrance exam and interview.
Duration: 4 semesters / 2 years
Credits: 58 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 20CS501C | Advanced Data Structures and Algorithms | Core | 3 | Algorithm Analysis Techniques, Advanced Tree Structures, Graph Algorithms, Hashing Techniques, String Matching Algorithms |
| 20CS502C | Advanced Computer Architecture | Core | 3 | Pipelining and Instruction Level Parallelism, Vector Processors, Memory Hierarchy Design, Multiprocessors and Cache Coherence, Thread Level Parallelism |
| 20CS503C | Research Methodology & IPR | Core | 2 | Fundamentals of Research, Data Collection and Analysis, Intellectual Property Rights, Patent Filing and Trademarks, Research Ethics and Plagiarism |
| 20CC504C | Cloud Computing | Core | 3 | Cloud Computing Concepts and Characteristics, Service Models (IaaS, PaaS, SaaS), Deployment Models (Public, Private, Hybrid), Virtualization Technologies, Cloud Platforms and Ecosystems, Cloud Security Fundamentals |
| 20CS505L | Advanced Data Structures and Algorithms Lab | Lab | 1 | Implementation of Trees, Graph Traversal Algorithms, Dynamic Programming Problems, String Manipulation Algorithms, Advanced Sorting Techniques |
| 20CS506L | Advanced Computer Architecture Lab | Lab | 1 | Assembly Language Programming, Pipelining Simulation, Cache Memory Simulation, Performance Measurement of Architectures, Multiprocessor System Emulation |
| 20CC507L | Cloud Computing Lab | Lab | 1 | Cloud Platform Setup (AWS/Azure/GCP), Virtual Machine Provisioning, Storage Service Configuration, Networking in Cloud, Deployment of Applications on Cloud |
| 20CC508R | Advanced English Communication Skills Lab | Audit Course | 0 | Effective Oral Presentation, Technical Writing Skills, Group Discussion Strategies, Interview Preparation, Professional Communication |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 20CC509C | Cloud Security | Core | 3 | Cloud Security Architecture, Data Security and Encryption, Identity and Access Management, Compliance and Governance, Incident Response in Cloud, Trusted Cloud Environments |
| 20CC510C | Cloud Architecture and Technologies | Core | 3 | Cloud Infrastructure Design, Hypervisors and Virtualization, Cloud Storage Technologies, Cloud Networking Architectures, Containerization (Docker, Kubernetes), Serverless Computing Concepts |
| 20CC511E | Cloud Data Management | Elective | 3 | Cloud Storage Models (Object, Block, File), Distributed Databases on Cloud, Big Data Analytics in Cloud, Data Governance and Compliance, NoSQL Databases for Cloud, Data Migration Strategies |
| 20CS512P | Open Elective - I | Open Elective | 3 | Interdisciplinary subject chosen by student, Focus on broadening knowledge, Topics vary based on student''''s interest, May include management, humanities, or other engineering domains, Enhances holistic development |
| 20CC513L | Cloud Security Lab | Lab | 1 | Implementing IAM Policies, Network Security Configuration, Data Encryption Practices, Vulnerability Scanning in Cloud, Monitoring Cloud Security Events |
| 20CC514L | Cloud Architecture and Technologies Lab | Lab | 1 | Deploying Virtual Machines, Setting up Cloud Storage, Implementing Cloud Networking, Container Orchestration with Kubernetes, Developing Serverless Functions |
| 20CC515P | Mini Project with Seminar | Project | 2 | Problem Identification and Scope Definition, Literature Review, Design and Implementation of a Mini Cloud Project, Report Writing and Presentation, Showcasing Practical Cloud Skills |
| 20CS516R | Internship (During Summer) | Audit Course | 0 | Industry Exposure, Application of Theoretical Knowledge, Professional Skill Development, Networking Opportunities, Real-world Project Experience |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 20CC601C | DevOps for Cloud | Core | 3 | DevOps Principles and Practices, Continuous Integration/Continuous Deployment (CI/CD), Infrastructure as Code (IaC), Monitoring and Logging in Cloud, Automation Tools (Ansible, Jenkins), Cloud-Native DevOps Strategies |
| 20CC602E | Cloud Application Development | Elective | 3 | Cloud API Integration, Microservices Architecture, Serverless Application Development, Platform as a Service (PaaS), Mobile Cloud Computing, Cloud-Native Application Patterns |
| 20CS603P | Project Work Phase I | Project | 6 | Comprehensive Problem Definition, Detailed Literature Survey, System Design and Architecture, Initial Implementation and Module Development, Technical Report and Presentation |
| 20CS604R | MOOC Course | Audit Course | 0 | Self-Paced Learning, Online Certifications, Skill Enhancement, Industry Relevant Courses, Continuous Learning |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 20CS605P | Project Work Phase II | Project | 16 | Advanced System Implementation, Testing and Validation, Performance Optimization, Deployment and Documentation, Final Thesis and Viva-Voce Examination |
