Build a Career in

Cloud Computing

Designed for beginners and professionals looking to enhance their knowledge, this course covers the entire data science pipeline from data collection, cleaning, and exploration to advanced machine learning algorithms and data visualization techniques.

Program Highlights

Here are some key highlights for a Data Science program

What You Will Learn:

  1. Data Analysis and Statistics – Fundamentals of descriptive and inferential statistics, probability, and hypothesis testing.
  2. Programming in Python/R – Hands-on programming exercises to clean, manipulate, and analyze data using Python and R.
  3. Data Wrangling and Exploration – Techniques to prepare and explore data for meaningful insights.
  4. Machine Learning Algorithms – Supervised and unsupervised learning methods, including linear regression, decision trees, clustering, and deep learning basics.
  5. Data Visualization – Best practices in data storytelling using tools like Matplotlib, Seaborn, and Power BI.
  6. SQL for Data Science – Database management and data querying techniques essential for data science.
  • 100% Job Oriented Training
  • Free Demo Class Available
  • Industry Expert Faculties
  • Industry-Led Content
  • Practical Hands-On Exercises
  • Case Study-Based Learning
  • Doubt-Clearing Support
  • Live Interactions
  • Industry-Readiness
  • Hands-On Practice
  • Expert Guidance
  • Industry Interaction
  • Communication Skills
  • Quizzes & Assessments
  • Workshops
  • Resume Optimization
  • LinkedIn Optimization
  • GitHub Profile Optimization

The latest data on data scientist salaries and demand in 2025:

Average Salary
United States: The average salary for a cloud computing professional ranges from $88,679 to $128,366 annually, depending on experience.

India: The average salary is around ₹15 lakhs per annum, with a range between ₹10 lakhs to ₹25 lakhs.

Demand
Global: The demand for cloud computing professionals continues to rise, with a projected 30% increase in job opportunities from 2021 to 2025.

India: There are over 20,000 active cloud computing jobs listed across various job boards.

Top Cities for Cloud Computing Professionals

  • Sunnyvale, CA: Average salary is around $147,440 per year.
  • Livermore, CA: Average salary is about $143,594 per year.
  • Santa Rosa, CA: Average salary is approximately $142,749 per year.
  • Cambridge, MA: Average salary is around $138,787 per year.
  • Bengaluru: Average salary is around ₹9,65,736 per year.
  • Hyderabad: Average salary is around ₹9,34,309 per year.
  • Gurgaon: Average salary is around ₹8,93,114 per year.
  • Pune: Average salary is around ₹8,50,000 per year.
  • Mumbai: Average salary is around ₹8,40,000 per year.
  • Chennai: Average salary is around ₹7,80,000 per year.
  • Delhi NCR: Average salary is around ₹7,50,000 per year

 

  • College Graduates
  • Freshers
  • Software Developers
  • Statisticians
  • Engineers

Module 1: Introduction to Cloud Computing

What is Cloud Computing? Benefits of Cloud Computing Cloud Service Models: IaaS, PaaS, SaaS Cloud Deployment Models: Public, Private, Hybrid Key Cloud Providers: AWS, Azure, GCP, etc.

Module 2: Core AWS Services

EC2: Elastic Compute Cloud, Lambda: Serverless Computing, S3: Simple Storage Service, EBS: Elastic Block Store, RDS: Relational Database Service, DynamoDB: NoSQL Database, VPC: Virtual Private Cloud, Route 53: DNS Service, IAM: Identity and Access Management, KMS: Key Management Service

Module 3: Core Azure Services

Virtual Machines, Azure Functions, Azure Storage: Blob, File, Table, Queue, Azure Disk Storage, Azure SQL Database, Cosmos DB: NoSQL Database, Virtual Networks, Azure DNS, Azure Active Directory, Azure Key Vault

Module 4: Cloud Architecture and Design

Designing Cloud Solutions, High Availability and Disaster Recovery, Cost Optimization Strategies, Security Best Practices, Performance Optimization Techniques

Module 5: Hands-on Labs

Creating and Managing Virtual Machines, Deploying Web Applications, Setting up Databases, Implementing Storage Solutions, Configuring Networking, Implementing Security Measures, Cost Optimization Strategies

Module 6: Advanced Topics in AWS

AWS Lambda and Serverless Architecture, AWS Machine Learning, AWS IoT, AWS Data Analytics

Module 7: Advanced Topics in Azure

Azure DevOps, Azure Machine Learning, Azure IoT, Azure Data Factory

Module 8: Case Studies

Deploying a multi-tier web application on AWS and Azure Serverless application with AWS Lambda and Azure Functions Real-time data streaming and analysis with AWS Kinesis and Azure Stream Analytics Building a CI/CD pipeline with AWS CodePipeline and Azure Pipelines IoT solution using AWS IoT Core and Azure IoT Hub

Our Course Programs

Choose our program and get start your career

Certificate Program

29999
  • Comprehensive Curriculum
  • Interactive Lessons,
  • Quizzes and Assignments
  • Completion Certificate

Internship Program

49999
  • Inc: Certificate Program
  • 2 Months Intership
  • Mentorship
  • Networking Opportunities

Interview Program

69999
  • inc: Internship Program
  • Minimum 2 Interviews
  • Mock Interviews
  • Soft Skills Development

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