Diploma in Cloud Computing and Big Data

The Diploma in Cloud Computing and Big Data is a specialized program designed to equip students with skills in managing and analyzing large datasets and leveraging cloud platforms for scalable, efficient computing. This program bridges the gap between traditional IT roles and the modern demand for expertise in cloud-based services and big data analytics, preparing students for careers in these rapidly growing fields.

Program Highlights
1. Core Focus:
  • Understanding cloud computing architectures and services, including public, private, and hybrid clouds.
  • Learning big data tools and techniques for storage, processing, and analysis of vast amounts of structured and unstructured data.
2. Curriculum Overview:
Fundamentals: Basics of IT, Computer Networks, and Virtualization.
Cloud Computing Topics:
Cloud Models (IaaS, PaaS, SaaS).
Cloud Platforms (AWS, Microsoft Azure, Google Cloud).
Security and Resource Management in Cloud.
Big Data Topics:
Big Data Storage and Processing (Hadoop, Spark).
Data Analytics (SQL, Python for Data Science, R).
Data Visualization and Reporting Tools (Tableau, Power BI).
Practical Exposure: Hands-on projects using cloud platforms and big data frameworks.
 
3. Industry-Oriented Learning:
  • Emphasis on real-world applications such as predictive analytics, cloud migrations, and big data-driven decision-making.
  • Training in DevOps practices for cloud-native development.
4. Capstone Projects and Internships:
Opportunity to work on industry-relevant problems such as setting up cloud infrastructures or building data pipelines for analytics.
 
 

Career Opportunities

Graduates of this program can explore roles such as:

Cloud Engineer: Design and maintain cloud infrastructures.
Big Data Analyst: Extract insights from large datasets for decision-making.
Data Engineer: Build and optimize data pipelines and architectures.
DevOps Engineer: Automate and streamline operations in cloud environments.
Database Administrator: Manage and secure cloud-based databases.
 
 

Future Scope

With the exponential growth in data generation and the shift to cloud-based solutions, this diploma program opens doors to lucrative career opportunities. Graduates can:

Pursue certifications in advanced cloud platforms (AWS Certified Solutions Architect, Google Cloud Professional).
Advance into specialized roles in AI/ML, IoT, or Data Science.
Continue education with a B.Tech or advanced diploma in related fields.

 

This program is ideal for students aiming to become skilled professionals in two of the most transformative technologies of the modern era

Faculty List

Sl No.

Name of Staff member

Designation

Qualification

Total Service

1

CHATTI BHANU PRASAD

HOD

MCA

11 YEARS

2

GUNTURU APARNA

LECTURER

MSC MATHS

2 YEARS

3

U.SRIKANTH

LECTURER

M.TECH

6 YEARS

4

MEDASANI MOUNIKA

LECTURER

B.TECH

2 YEARS

5

P.SWATHI

LECTURER

B.TECH

1 YEARS

6

S.V PRASAD

LECTURER

MCA

4YEARS

7

SUGGUNA SRAVANI

LECTURER

B.TECH

1 YEARS

8

THOTA HARI SWAPNA

LECTURER

B.TECH

1 YEARS

9

P. HARITHA

LECTURER

B.TECH

1 YEARS

10

ADITYA

LECTURER

MCA

1 YEARS

11

M.AKHILA

Sr.LECTURER

B.TECH

12 YEARS

12

K. VENU MADHAVI

LECTURER

B.TECH

1 YEARS

13

T.LAKSHMI SOWJANYA

LECTURER

B.TECH

1 YEARS

14

Y MANJULA

LECTURER

B.TECH

1 YEARS

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