๐ง 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:
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๐ Cloud platforms like AWS, Azure & Google Cloud
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๐ Big Data ecosystems like Hadoop, Spark & Hive
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๐ Data engineering, ingestion, ETL pipelines
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๐ ๏ธ DevOps, virtualization, and scalable storage systems
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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.
๐ Why It Matters
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๐ก 91% of Indian companies now use cloud-based infrastructure
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๐ Data is being used for decision-making across healthcare, fintech, education, manufacturing, and logistics
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๐ผ Job roles like Cloud Engineer, Data Engineer, and DevOps Analyst are seeing 40%+ YoY growth
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๐ Global platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) now hire directly based on skills + certifications — not just degrees
๐ What You’ll Learn
| ๐ Module |
๐ง 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 |
๐ ๏ธ Tools, Platforms & Labs
| ๐ Tools & Tech Stack |
๐ก 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 |
๐งช ScholarIQ enables cloud-based sandbox environments for hands-on deployment of real projects.
๐ Real-World Applications
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๐ฆ E-commerce: Customer personalization, demand forecasting
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๐ฅ Healthcare: Patient analytics, AI diagnostics on cloud
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๐๏ธ Government: Smart cities, traffic data, energy grids
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๐ฐ Banking & FinTech: Fraud detection, credit risk analysis
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๐ Logistics: Route optimization, delivery prediction
๐ Sample Projects You Might Build
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๐ง Create an end-to-end data pipeline using Hadoop & Spark
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โ๏ธ Deploy a scalable cloud-based web app on AWS/GCP
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๐ Analyze real-time traffic or sales data and visualize insights
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๐ Configure IAM & security groups on a simulated cloud network
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๐ผ Work on a cloud-native capstone project for your portfolio
๐ Industry Demand Snapshot
| ๐ Role |
๐ป Core Skills |
๐ฐ Avg Starting Salary (INR) |
| Cloud Engineer |
AWS/Azure, IAM, EC2, S3 |
โน5 – โน9 LPA |
| Big Data Analyst |
Hadoop, Spark, Hive |
โน4 – โน8 LPA |
| Data Engineer |
ETL, Pipelines, MongoDB, Kafka |
โน6 – โน10 LPA |
| Cloud Security Associate |
IAM, Encryption, Monitoring |
โน5 – โน8 LPA |
| DevOps Engineer (Entry-Level) |
CI/CD, Containers, Deployment Scripts |
โน5.5 – โน9.5 LPA |
๐ Salaries rise significantly with certifications like AWS Solutions Architect, Google Data Engineer, or Azure Administrator Associate.
๐ง๐ Who Should Take This Course?
This diploma is ideal for:
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๐ 12th pass-outs or graduates aiming for IT/Data careers
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๐ผ Professionals looking to reskill or switch to cloud roles
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๐จ๐ป BCA, B.Sc, or Engineering students wanting to specialize fast
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๐ Freelancers building cloud-backed data services
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๐งช Entrepreneurs or startup founders needing scalable cloud solutions
๐ 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:
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๐ Big Data – for managing and analyzing complex, large-scale data
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โ๏ธ Cloud Computing – for scalable, secure, on-demand infrastructure
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Top Reasons to Enroll
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โ๏ธ In-Demand Dual Domain: Combines Cloud + Big Data — 2X job market visibility
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๐ผ Global Tech Hiring Boom: AWS, Google, Microsoft, Infosys, TCS are hiring aggressively
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๐ No Tech Degree Required: Open to any stream with basic computer knowledge
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๐ Career Versatility: Roles in data analytics, cloud dev, DevOps, and more
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๐ฏ Aligned to AWS, Azure, and Google Cloud Certifications
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๐ Real-World Projects to showcase in interviews and portfolios
๐ ๏ธ Skill Wheel – What You’ll Master
| Domain |
Core Skills You Gain |
| ๐พ Big Data Tools |
Hadoop, Spark, Hive, HDFS, MapReduce |
| โ๏ธ Cloud Platforms |
AWS EC2, S3, Lambda, IAM, Azure VM, GCP Storage |
| ๐ Data Pipelines |
Kafka, Flume, ETL Processing, Airflow basics |
| ๐ก๏ธ Cloud Security |
Identity Access, Firewalls, Encryption, Compliance (GDPR, ISO) |
| ๐ Visualization |
Tableau, Power BI, SQL Reporting |
| ๐งช DevOps (optional) |
CI/CD Basics, Cloud Deployments |
๐ง This stack prepares you for end-to-end data engineering and infrastructure roles.
๐ Career Growth Map – From Learner to Leader
Step 1: Foundation
๐ Learn Python, SQL, Hadoop, AWS Fundamentals
Step 2: Specialization
๐ Master ETL, Data Lakes, Cloud Services & Spark
Step 3: Portfolio Projects
๐ป Build & deploy real-world pipelines and dashboards
Step 4: Job Ready
๐ผ Apply for roles like Data Engineer, Cloud Analyst, DevOps Associate
Step 5: Advance with Certs
๐ Clear AWS / Azure / Google Cloud Certification → Higher Roles & Pay
Step 1: Foundation
๐ Learn Python, SQL, Hadoop, AWS Fundamentals
Step 2: Specialization
๐ Master ETL, Data Lakes, Cloud Services & Spark
Step 3: Portfolio Projects
๐ป Build & deploy real-world pipelines and dashboards
Step 4: Job Ready
๐ผ Apply for roles like Data Engineer, Cloud Analyst, DevOps Associate
Step 5: Advance with Certs
๐ Clear AWS / Azure / Google Cloud Certification → Higher Roles & Pay
๐ณ Specialization Tree – Post-Diploma Pathways
Big Data & Cloud Computing
โโโ Data Engineering
โ โโโ Hadoop, Spark, Kafka, SQL/NoSQL
โโโ Cloud Architecture
โ โโโ AWS, Azure, Google Cloud, Security
โโโ DevOps & CloudOps
โ โโโ CI/CD, Docker, Jenkins, Infra as Code
โโโ Data Analytics & Visualization
โ โโโ Tableau, Power BI, Redshift, Data Studio
โโโ AI/ML with Big Data (Advanced)
โ โโโ PySpark MLlib, Data Lakes, Scalable ML
๐ These paths help you specialize further with just certifications or online add-ons.
๐ผ Real-World Job Roles & Examples
| Role |
Description |
Avg Salary (INR) |
| ๐จ๐ป Data Engineer |
Build and manage big data pipelines |
โน6 – โน10 LPA |
| โ๏ธ Cloud Administrator |
Manage cloud infra, services, and security |
โน4 – โน8 LPA |
| ๐ Data Analyst |
Process & visualize data using BI tools |
โน5 – โน9 LPA |
| ๐ DevOps Associate |
CI/CD, deployments, version control |
โน6 – โน12 LPA |
| ๐ Cloud Security Associate |
Handle IAM, encryption, compliance |
โน6 – โน10 LPA |
| ๐ง Cloud ML Engineer (Adv.) |
Run scalable ML models on the cloud |
โน10 – โน18 LPA |
๐ผ Companies hiring include: Amazon, Google, Capgemini, Accenture, Flipkart, Zoho, and Indian Startups in logistics, healthcare, EdTech, and FinTech.
๐จ๐ Who Should Join?
This diploma is ideal for:
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๐ Students from BCA, BSc, B.Com, BA backgrounds
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๐ง๐ผ IT professionals upgrading from support to infra/data roles
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๐ Career switchers into tech/data/cloud sectors
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๐ฉ๐ป Freelancers building SaaS or cloud platforms
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๐ง Entrepreneurs automating business analytics
ScholarIQ’s Career Tools Include:
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๐ AI-Powered Resume Builder with ATS optimization
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๐ ๏ธ Project Portfolio Creator for GitHub & LinkedIn
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๐ Cert Path Tracker for AWS, Azure, and GCP
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๐งช Live Cloud Labs for hands-on experience
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๐ฌ Interview Prep Simulator (behavioral + technical)
๐ 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.
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Semester 1 – Foundations of Computing & Programming
Gain a solid base in computing, programming, mathematics, and data management.
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Management Information System (CSB-1111)
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Problem Solving Using C (CSB-1112)
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Mathematics – I (CSB-1113)
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Financial Accounting (CSB-1114)
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English Communication (ENB-1101)
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Computer Fundamentals & Office Automation (CSB-1101)
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Problem Solving Using C Lab (CSB-1151)
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Semester 2 – Big Data & Cloud Specialization
Dive into Data Structures, Cloud Platforms, and Big Data Tools with real-world applications.
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System Analysis and Design (CSB-1211)
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C++ and Data Structure (CSB-1212)
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Software Engineering (CSB-3111)
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IoT and Cloud Computing (CSB-3211)
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Database Management System (DBMS) (CSB-2214)
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Data Warehousing & Data Mining (CSB-4213)
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C++ and Data Structure Lab (CSB-1251)