Diploma in Big Data and Cloud Computing | Diploma in Big Data & Cloud Computing

Big Data Engineering | Big Data with Python | Cloud Computing | Cloud DevOps | Cloud Security | Data Analytics

Course Overview

๐Ÿง  Course Overview: Diploma in Big Data & Cloud Computing

In today’s hyper-connected world, data is growing at an explosive pace — over 2.5 quintillion bytes per day! Managing, storing, and analyzing this data at scale is now mission-critical for businesses, governments, and industries worldwide. That’s where Big Data and Cloud Computing step in — forming the twin engines that power the digital economy.

The Diploma in Big Data and Cloud Computing is a 6–12 month skill-based program that equips learners with in-demand technical and analytical skills in:

  • ๐ŸŒ Cloud platforms like AWS, Azure & Google Cloud

  • ๐Ÿ” Big Data ecosystems like Hadoop, Spark & Hive

  • ๐Ÿ“Š Data engineering, ingestion, ETL pipelines

  • ๐Ÿ› ๏ธ DevOps, virtualization, and scalable storage systems

  • โ˜๏ธ Cloud security, backup & automation tools

Whether you're a student exploring data careers or a professional looking to reskill, this program offers a fast, flexible, and job-ready pathway into one of the most future-proof tech domains.


๐Ÿ“ˆ Why It Matters

  • ๐Ÿ’ก 91% of Indian companies now use cloud-based infrastructure

  • ๐Ÿ”Ž Data is being used for decision-making across healthcare, fintech, education, manufacturing, and logistics

  • ๐Ÿ’ผ Job roles like Cloud Engineer, Data Engineer, and DevOps Analyst are seeing 40%+ YoY growth

  • ๐ŸŒ Global platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) now hire directly based on skills + certifications — not just degrees


๐Ÿš€ What You’ll Learn

๐Ÿ“˜ Module ๐Ÿ”ง Key Concepts
Introduction to Big Data 3Vs of Big Data (Volume, Velocity, Variety), Use Cases
Hadoop Ecosystem HDFS, MapReduce, YARN, Hive, Pig
Real-Time Processing Apache Spark, Kafka, Streaming Analytics
Cloud Platforms (AWS/Azure/GCP) IAM, EC2, S3, Azure Functions, GCP BigQuery
Data Engineering Fundamentals Data Lakes, ETL, Ingestion, Data Warehousing
DevOps & Virtualization CI/CD Pipelines, Docker, Kubernetes (Intro level)
Cloud Security & Cost Optimization IAM, Firewalls, Backup Strategies, Cloud Billing

๐Ÿ› ๏ธ Tools, Platforms & Labs

๐ŸŒ Tools & Tech Stack ๐Ÿ’ก Purpose
AWS / Azure / GCP Cloud Infrastructure & Deployment
Hadoop, Spark, Hive Big Data Processing & Querying
Apache Kafka, Flume, NiFi Real-time Data Ingestion
Docker, Jenkins DevOps & Automation
MongoDB, BigQuery NoSQL & Scalable Analytics
Power BI / Tableau (optional) Visualization of big data outputs

๐Ÿงช ScholarIQ enables cloud-based sandbox environments for hands-on deployment of real projects.


๐ŸŒ Real-World Applications

  • ๐Ÿ“ฆ E-commerce: Customer personalization, demand forecasting

  • ๐Ÿฅ Healthcare: Patient analytics, AI diagnostics on cloud

  • ๐Ÿ›๏ธ Government: Smart cities, traffic data, energy grids

  • ๐Ÿ’ฐ Banking & FinTech: Fraud detection, credit risk analysis

  • ๐Ÿšš Logistics: Route optimization, delivery prediction


๐Ÿ“˜ Sample Projects You Might Build

  • ๐Ÿ”ง Create an end-to-end data pipeline using Hadoop & Spark

  • โ˜๏ธ Deploy a scalable cloud-based web app on AWS/GCP

  • ๐Ÿ“Š Analyze real-time traffic or sales data and visualize insights

  • ๐Ÿ” Configure IAM & security groups on a simulated cloud network

  • ๐Ÿ’ผ Work on a cloud-native capstone project for your portfolio


๐Ÿ“Š Industry Demand Snapshot

๐Ÿ“Œ Role ๐Ÿ’ป Core Skills ๐Ÿ’ฐ Avg Starting Salary (INR)
Cloud Engineer AWS/Azure, IAM, EC2, S3 โ‚น5 – โ‚น9 LPA
Big Data Analyst Hadoop, Spark, Hive โ‚น4 – โ‚น8 LPA
Data Engineer ETL, Pipelines, MongoDB, Kafka โ‚น6 – โ‚น10 LPA
Cloud Security Associate IAM, Encryption, Monitoring โ‚น5 – โ‚น8 LPA
DevOps Engineer (Entry-Level) CI/CD, Containers, Deployment Scripts โ‚น5.5 – โ‚น9.5 LPA

๐Ÿ“Œ Salaries rise significantly with certifications like AWS Solutions Architect, Google Data Engineer, or Azure Administrator Associate.


๐Ÿง‘‍๐ŸŽ“ Who Should Take This Course?

This diploma is ideal for:

  • ๐ŸŽ“ 12th pass-outs or graduates aiming for IT/Data careers

  • ๐Ÿ’ผ Professionals looking to reskill or switch to cloud roles

  • ๐Ÿ‘จ‍๐Ÿ’ป BCA, B.Sc, or Engineering students wanting to specialize fast

  • ๐ŸŒ Freelancers building cloud-backed data services

  • ๐Ÿงช Entrepreneurs or startup founders needing scalable cloud solutions


 
Why Choose This Course

๐ŸŒŸ Why Choose Diploma in Big Data & Cloud Computing?

In today’s data-powered economy, every company — from startups to Fortune 500s — needs professionals who can handle massive datasets and cloud-based architectures. This diploma offers the fastest route to become job-ready in data and cloud, without needing a full degree in computer science.

Whether you're a fresher or working professional, this course helps you tap into two of the highest-paying and future-proof tech domains:

  • ๐Ÿ“Š Big Data – for managing and analyzing complex, large-scale data

  • โ˜๏ธ Cloud Computing – for scalable, secure, on-demand infrastructure


โœ… Top Reasons to Enroll

  • โ˜๏ธ In-Demand Dual Domain: Combines Cloud + Big Data — 2X job market visibility

  • ๐Ÿ’ผ Global Tech Hiring Boom: AWS, Google, Microsoft, Infosys, TCS are hiring aggressively

  • ๐Ÿš€ No Tech Degree Required: Open to any stream with basic computer knowledge

  • ๐Ÿ“ˆ Career Versatility: Roles in data analytics, cloud dev, DevOps, and more

  • ๐ŸŽฏ Aligned to AWS, Azure, and Google Cloud Certifications

  • ๐Ÿ“˜ Real-World Projects to showcase in interviews and portfolios


๐Ÿ› ๏ธ Skill Wheel – What You’ll Master

Domain Core Skills You Gain
๐Ÿ’พ Big Data Tools Hadoop, Spark, Hive, HDFS, MapReduce
โ˜๏ธ Cloud Platforms AWS EC2, S3, Lambda, IAM, Azure VM, GCP Storage
๐Ÿ”„ Data Pipelines Kafka, Flume, ETL Processing, Airflow basics
๐Ÿ›ก๏ธ Cloud Security Identity Access, Firewalls, Encryption, Compliance (GDPR, ISO)
๐Ÿ“Š Visualization Tableau, Power BI, SQL Reporting
๐Ÿงช DevOps (optional) CI/CD Basics, Cloud Deployments

๐Ÿง  This stack prepares you for end-to-end data engineering and infrastructure roles.


๐Ÿ“ˆ Career Growth Map – From Learner to Leader


 

Step 1: Foundation
๐ŸŽ“ Learn Python, SQL, Hadoop, AWS Fundamentals

Step 2: Specialization
๐Ÿ“˜ Master ETL, Data Lakes, Cloud Services & Spark

Step 3: Portfolio Projects
๐Ÿ’ป Build & deploy real-world pipelines and dashboards

Step 4: Job Ready
๐Ÿ’ผ Apply for roles like Data Engineer, Cloud Analyst, DevOps Associate

Step 5: Advance with Certs
๐Ÿ† Clear AWS / Azure / Google Cloud Certification → Higher Roles & Pay

Step 1: Foundation
๐ŸŽ“ Learn Python, SQL, Hadoop, AWS Fundamentals

Step 2: Specialization
๐Ÿ“˜ Master ETL, Data Lakes, Cloud Services & Spark

Step 3: Portfolio Projects
๐Ÿ’ป Build & deploy real-world pipelines and dashboards

Step 4: Job Ready
๐Ÿ’ผ Apply for roles like Data Engineer, Cloud Analyst, DevOps Associate

Step 5: Advance with Certs
๐Ÿ† Clear AWS / Azure / Google Cloud Certification → Higher Roles & Pay

 

 

๐ŸŒณ Specialization Tree – Post-Diploma Pathways


Big Data & Cloud Computing
โ”œโ”€โ”€ Data Engineering
โ”‚   โ””โ”€โ”€ Hadoop, Spark, Kafka, SQL/NoSQL
โ”œโ”€โ”€ Cloud Architecture
โ”‚   โ””โ”€โ”€ AWS, Azure, Google Cloud, Security
โ”œโ”€โ”€ DevOps & CloudOps
โ”‚   โ””โ”€โ”€ CI/CD, Docker, Jenkins, Infra as Code
โ”œโ”€โ”€ Data Analytics & Visualization
โ”‚   โ””โ”€โ”€ Tableau, Power BI, Redshift, Data Studio
โ”œโ”€โ”€ AI/ML with Big Data (Advanced)
โ”‚   โ””โ”€โ”€ PySpark MLlib, Data Lakes, Scalable ML


๐Ÿš€ These paths help you specialize further with just certifications or online add-ons.


๐Ÿ’ผ Real-World Job Roles & Examples

Role Description Avg Salary (INR)
๐Ÿ‘จ‍๐Ÿ’ป Data Engineer Build and manage big data pipelines โ‚น6 – โ‚น10 LPA
โ˜๏ธ Cloud Administrator Manage cloud infra, services, and security โ‚น4 – โ‚น8 LPA
๐Ÿ“Š Data Analyst Process & visualize data using BI tools โ‚น5 – โ‚น9 LPA
๐Ÿš€ DevOps Associate CI/CD, deployments, version control โ‚น6 – โ‚น12 LPA
๐Ÿ” Cloud Security Associate Handle IAM, encryption, compliance โ‚น6 – โ‚น10 LPA
๐Ÿง  Cloud ML Engineer (Adv.) Run scalable ML models on the cloud โ‚น10 – โ‚น18 LPA

๐Ÿ’ผ Companies hiring include: Amazon, Google, Capgemini, Accenture, Flipkart, Zoho, and Indian Startups in logistics, healthcare, EdTech, and FinTech.


๐Ÿ‘จ‍๐ŸŽ“ Who Should Join?

This diploma is ideal for:

  • ๐ŸŽ“ Students from BCA, BSc, B.Com, BA backgrounds

  • ๐Ÿง‘‍๐Ÿ’ผ IT professionals upgrading from support to infra/data roles

  • ๐Ÿ” Career switchers into tech/data/cloud sectors

  • ๐Ÿ‘ฉ‍๐Ÿ’ป Freelancers building SaaS or cloud platforms

  • ๐Ÿง  Entrepreneurs automating business analytics


ScholarIQ’s Career Tools Include:

  • ๐Ÿ” AI-Powered Resume Builder with ATS optimization

  • ๐Ÿ› ๏ธ Project Portfolio Creator for GitHub & LinkedIn

  • ๐Ÿ“ˆ Cert Path Tracker for AWS, Azure, and GCP

  • ๐Ÿงช Live Cloud Labs for hands-on experience

  • ๐Ÿ’ฌ Interview Prep Simulator (behavioral + technical)


 
Curriculum

๐Ÿ“˜ Course Curriculum – Diploma in Big Data & Cloud Computing

Students enrolled in the Diploma in Big Data & Cloud Computing will earn their diploma upon securing 40 credits.
This program delivers hands-on expertise in Big Data, Cloud Infrastructure (AWS, Azure), Data Analytics, and IoT, blending core computing principles with specialized industry-ready skills, preparing students for Cloud Engineer, Data Analyst, and Big Data Specialist roles.


๐Ÿ“… Semester 1 – Foundations of Computing & Programming

Gain a solid base in computing, programming, mathematics, and data management.

  • Management Information System (CSB-1111)

  • Problem Solving Using C (CSB-1112)

  • Mathematics – I (CSB-1113)

  • Financial Accounting (CSB-1114)

  • English Communication (ENB-1101)

  • Computer Fundamentals & Office Automation (CSB-1101)

  • Problem Solving Using C Lab (CSB-1151)


๐Ÿ“… Semester 2 – Big Data & Cloud Specialization

Dive into Data Structures, Cloud Platforms, and Big Data Tools with real-world applications.

  • System Analysis and Design (CSB-1211)

  • C++ and Data Structure (CSB-1212)

  • Software Engineering (CSB-3111)

  • IoT and Cloud Computing (CSB-3211)

  • Database Management System (DBMS) (CSB-2214)

  • Data Warehousing & Data Mining (CSB-4213)

  • C++ and Data Structure Lab (CSB-1251)


 
Fee Structure

๐Ÿ’ฐ Fee Structure – Diploma in Big Data & Cloud Computing

  • โณ Duration: 1 Year (2 Semesters)

  • ๐Ÿ“š Course Fee: โ‚น9,000 per semester

  • ๐Ÿ“ Exam Fee: โ‚น1,000 per semester

  • ๐Ÿ“… Annual Fee: โ‚น18,000

  • ๐Ÿ†• One-Time Registration Fee: โ‚น1,000

  • ๐Ÿ’ณ Total Program Fee: โ‚น21,000 (All Inclusive)

FAQs

Frequently Asked Questions