🧠 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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🌐 Cloud platforms like AWS, Azure & Google Cloud
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🔍 Big Data ecosystems like Hadoop, Spark & Hive
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📊 Data engineering, ingestion, ETL pipelines
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🛠️ DevOps, virtualization, and scalable storage systems
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☁️ 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
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💡 91% of Indian companies now use cloud-based infrastructure
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🔎 Data is being used for decision-making across healthcare, fintech, education, manufacturing, and logistics
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💼 Job roles like Cloud Engineer, Data Engineer, and DevOps Analyst are seeing 40%+ YoY growth
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🌍 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
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📦 E-commerce: Customer personalization, demand forecasting
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🏥 Healthcare: Patient analytics, AI diagnostics on cloud
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🏛️ Government: Smart cities, traffic data, energy grids
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💰 Banking & FinTech: Fraud detection, credit risk analysis
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🚚 Logistics: Route optimization, delivery prediction
📘 Sample Projects You Might Build
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🔧 Create an end-to-end data pipeline using Hadoop & Spark
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☁️ Deploy a scalable cloud-based web app on AWS/GCP
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📊 Analyze real-time traffic or sales data and visualize insights
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🔐 Configure IAM & security groups on a simulated cloud network
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💼 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:
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🎓 12th pass-outs or graduates aiming for IT/Data careers
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💼 Professionals looking to reskill or switch to cloud roles
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👨💻 BCA, B.Sc, or Engineering students wanting to specialize fast
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🌐 Freelancers building cloud-backed data services
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🧪 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:
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📊 Big Data – for managing and analyzing complex, large-scale data
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☁️ Cloud Computing – for scalable, secure, on-demand infrastructure
✅ Top Reasons to Enroll
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☁️ In-Demand Dual Domain: Combines Cloud + Big Data — 2X job market visibility
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💼 Global Tech Hiring Boom: AWS, Google, Microsoft, Infosys, TCS are hiring aggressively
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🚀 No Tech Degree Required: Open to any stream with basic computer knowledge
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📈 Career Versatility: Roles in data analytics, cloud dev, DevOps, and more
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🎯 Aligned to AWS, Azure, and Google Cloud Certifications
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📘 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:
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🎓 Students from BCA, BSc, B.Com, BA backgrounds
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🧑💼 IT professionals upgrading from support to infra/data roles
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🔁 Career switchers into tech/data/cloud sectors
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👩💻 Freelancers building SaaS or cloud platforms
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🧠 Entrepreneurs automating business analytics
ScholarIQ’s Career Tools Include:
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🔍 AI-Powered Resume Builder with ATS optimization
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🛠️ Project Portfolio Creator for GitHub & LinkedIn
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📈 Cert Path Tracker for AWS, Azure, and GCP
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🧪 Live Cloud Labs for hands-on experience
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💬 Interview Prep Simulator (behavioral + technical)