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
  • Why Choose This Course?
  • Curriculum
  • Fee Structure
  • FAQs

🧠 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:

  • 🌐 Cloud platforms like AWS, Azure & Google Cloud

  • 🔍 Big Data ecosystems like Hadoop, Spark & Hive

  • 📊 Data engineering, ingestion, ETL pipelines

  • 🛠️ DevOps, virtualization, and scalable storage systems

  • ☁️ 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.


📈 Why It Matters

  • 💡 91% of Indian companies now use cloud-based infrastructure

  • 🔎 Data is being used for decision-making across healthcare, fintech, education, manufacturing, and logistics

  • 💼 Job roles like Cloud Engineer, Data Engineer, and DevOps Analyst are seeing 40%+ YoY growth

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


🚀 What You’ll Learn

📘 Module 🔧 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

🛠️ Tools, Platforms & Labs

🌐 Tools & Tech Stack 💡 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

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


🌍 Real-World Applications

  • 📦 E-commerce: Customer personalization, demand forecasting

  • 🏥 Healthcare: Patient analytics, AI diagnostics on cloud

  • 🏛️ Government: Smart cities, traffic data, energy grids

  • 💰 Banking & FinTech: Fraud detection, credit risk analysis

  • 🚚 Logistics: Route optimization, delivery prediction


📘 Sample Projects You Might Build

  • 🔧 Create an end-to-end data pipeline using Hadoop & Spark

  • ☁️ Deploy a scalable cloud-based web app on AWS/GCP

  • 📊 Analyze real-time traffic or sales data and visualize insights

  • 🔐 Configure IAM & security groups on a simulated cloud network

  • 💼 Work on a cloud-native capstone project for your portfolio


📊 Industry Demand Snapshot

📌 Role 💻 Core Skills 💰 Avg Starting Salary (INR)
Cloud Engineer AWS/Azure, IAM, EC2, S3 ₹5 – ₹9 LPA
Big Data Analyst Hadoop, Spark, Hive ₹4 – ₹8 LPA
Data Engineer ETL, Pipelines, MongoDB, Kafka ₹6 – ₹10 LPA
Cloud Security Associate IAM, Encryption, Monitoring ₹5 – ₹8 LPA
DevOps Engineer (Entry-Level) CI/CD, Containers, Deployment Scripts ₹5.5 – ₹9.5 LPA

📌 Salaries rise significantly with certifications like AWS Solutions Architect, Google Data Engineer, or Azure Administrator Associate.


🧑‍🎓 Who Should Take This Course?

This diploma is ideal for:

  • 🎓 12th pass-outs or graduates aiming for IT/Data careers

  • 💼 Professionals looking to reskill or switch to cloud roles

  • 👨‍💻 BCA, B.Sc, or Engineering students wanting to specialize fast

  • 🌐 Freelancers building cloud-backed data services

  • 🧪 Entrepreneurs or startup founders needing scalable cloud solutions


 

🌟 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:

  • 📊 Big Data – for managing and analyzing complex, large-scale data

  • ☁️ Cloud Computing – for scalable, secure, on-demand infrastructure


✅ Top Reasons to Enroll

  • ☁️ In-Demand Dual Domain: Combines Cloud + Big Data — 2X job market visibility

  • 💼 Global Tech Hiring Boom: AWS, Google, Microsoft, Infosys, TCS are hiring aggressively

  • 🚀 No Tech Degree Required: Open to any stream with basic computer knowledge

  • 📈 Career Versatility: Roles in data analytics, cloud dev, DevOps, and more

  • 🎯 Aligned to AWS, Azure, and Google Cloud Certifications

  • 📘 Real-World Projects to showcase in interviews and portfolios


🛠️ Skill Wheel – What You’ll Master

Domain Core Skills You Gain
💾 Big Data Tools Hadoop, Spark, Hive, HDFS, MapReduce
☁️ Cloud Platforms AWS EC2, S3, Lambda, IAM, Azure VM, GCP Storage
🔄 Data Pipelines Kafka, Flume, ETL Processing, Airflow basics
🛡️ Cloud Security Identity Access, Firewalls, Encryption, Compliance (GDPR, ISO)
📊 Visualization Tableau, Power BI, SQL Reporting
🧪 DevOps (optional) CI/CD Basics, Cloud Deployments

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


📈 Career Growth Map – From Learner to Leader


 

Step 1: Foundation
🎓 Learn Python, SQL, Hadoop, AWS Fundamentals

Step 2: Specialization
📘 Master ETL, Data Lakes, Cloud Services & Spark

Step 3: Portfolio Projects
💻 Build & deploy real-world pipelines and dashboards

Step 4: Job Ready
💼 Apply for roles like Data Engineer, Cloud Analyst, DevOps Associate

Step 5: Advance with Certs
🏆 Clear AWS / Azure / Google Cloud Certification → Higher Roles & Pay

Step 1: Foundation
🎓 Learn Python, SQL, Hadoop, AWS Fundamentals

Step 2: Specialization
📘 Master ETL, Data Lakes, Cloud Services & Spark

Step 3: Portfolio Projects
💻 Build & deploy real-world pipelines and dashboards

Step 4: Job Ready
💼 Apply for roles like Data Engineer, Cloud Analyst, DevOps Associate

Step 5: Advance with Certs
🏆 Clear AWS / Azure / Google Cloud Certification → Higher Roles & Pay

 

 

🌳 Specialization Tree – Post-Diploma Pathways


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


🚀 These paths help you specialize further with just certifications or online add-ons.


💼 Real-World Job Roles & Examples

Role Description Avg Salary (INR)
👨‍💻 Data Engineer Build and manage big data pipelines ₹6 – ₹10 LPA
☁️ Cloud Administrator Manage cloud infra, services, and security ₹4 – ₹8 LPA
📊 Data Analyst Process & visualize data using BI tools ₹5 – ₹9 LPA
🚀 DevOps Associate CI/CD, deployments, version control ₹6 – ₹12 LPA
🔐 Cloud Security Associate Handle IAM, encryption, compliance ₹6 – ₹10 LPA
🧠 Cloud ML Engineer (Adv.) Run scalable ML models on the cloud ₹10 – ₹18 LPA

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


👨‍🎓 Who Should Join?

This diploma is ideal for:

  • 🎓 Students from BCA, BSc, B.Com, BA backgrounds

  • 🧑‍💼 IT professionals upgrading from support to infra/data roles

  • 🔁 Career switchers into tech/data/cloud sectors

  • 👩‍💻 Freelancers building SaaS or cloud platforms

  • 🧠 Entrepreneurs automating business analytics


ScholarIQ’s Career Tools Include:

  • 🔍 AI-Powered Resume Builder with ATS optimization

  • 🛠️ Project Portfolio Creator for GitHub & LinkedIn

  • 📈 Cert Path Tracker for AWS, Azure, and GCP

  • 🧪 Live Cloud Labs for hands-on experience

  • 💬 Interview Prep Simulator (behavioral + technical)


 

📘 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.


📅 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)


📅 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 – Diploma in Big Data & Cloud Computing

  • ⏳ Duration: 1 Year (2 Semesters)

  • 📚 Course Fee: ₹9,000 per semester

  • 📝 Exam Fee: ₹1,000 per semester

  • 📅 Annual Fee: ₹18,000

  • 🆕 One-Time Registration Fee: ₹1,000

  • 💳 Total Program Fee: ₹21,000 (All Inclusive)