Generative AI  /  Beginner to Mastery

Mastering in Cloud Computing

Course Duration

400 Hours

 

Course Material

Live. Online. Interactive.

Cost Optimization (FinOps): Acquire skills in Cloud Economics and resource right-sizing.

Career Support: Dedicated mentorship and job placement assistance.

Flexible Format: Weekend live sessions designed for professionals.

Advanced Architectures: Design Hybrid, Multi-Cloud, and Serverless solutions.

KEY HIGHLIGHTS OF MASTERING IN CLOUD COMPUTING PROGRAM

1) 130 hours of live online training across 25 weeks

2) 40 hours of pre-learning content to build a strong foundation

3) 80 hours dedicated to a capstone project

4) 400 hours of total course duration, including self-paced learning

5) More than 20 hands-on assignments and 6 assessments

6) Learn from IIT Faculty & Industry experts

🔺Capstone Project: Industry-aligned Cloud Deployment Challenge

🔺Competitive Edge and Innovation

🔺24*7 Support

🔺1:1 Mock Interview

🔺Designed for both working professionals and fresh graduates

🔺 More than 20+ industry-related projects and case studies

🔺Personalized mentorship sessions with industry experts

🔺Dedicated Learning Management Team

🔺No-Cost EMI Option

🔺High Demand and Career Opportunities

🔺Problem-Solving and Critical Thinking

                                          WHY JOIN MASTERING IN CLOUD COMPUTING PROGRAM?

Comprehensive Multi-Cloud Mastery

Gain deep proficiency across AWS, Azure, and GCP to become a highly versatile cloud professional capable of working in any cloud environment.

Advanced Job-Ready Skills

Master highly sought-after tools and practices including Terraform, Docker, Kubernetes, and advanced DevOps automation for immediate industry impact.

Career Transformation

Designed for comprehensive career development into high-demand roles like Cloud Solutions Architect, DevOps Engineer, and Cloud Security Engineer.

Extensive Practical Experience

Over 400 hours of comprehensive training with multiple real-world projects, hands-on assignments, and an 80-hour industry-aligned Capstone Project.

Mastering in Cloud Computing OVERVIEW

In today’s world, cloud computing is the foundation of modern technology. Our comprehensive Mastering in Cloud Computing program is designed to equip you with the essential knowledge and practical skills needed to thrive in this dynamic field. Whether you’re a recent graduate or a professional looking to advance your career, this program covers everything from foundational concepts to advanced architectures. Through a hands-on, real-world approach, you’ll engage with industry-standard tools and practices, ensuring you are well-prepared to design, build, and manage scalable cloud solutions. You’ll master key areas like Infrastructure as Code (IaC), DevOps, cloud security, and cost optimization. By the end of this program, you will be a skilled cloud professional ready to make a significant impact in today’s digital landscape.

ENROLL NOW, BOOK YOUR SEAT & AVAIL UPTO 30% FEE WAIVER

Mastering in Cloud Computing Objectives

This program is designed to provide extensive knowledge and practical experience in cloud computing, DevOps, and cloud security. It covers major topics such as cloud service models (IaaS, PaaS, SaaS), multi-cloud platforms (AWS, Azure, GCP), and advanced areas like FinOps (Cloud Economics) and serverless architectures. Participants will learn the essential tools and techniques used by cloud professionals, including Terraform, Kubernetes, and Docker. Through hands-on labs, case studies, and real-world simulations, the program equips you with the skills required to design, deploy, and manage secure and scalable cloud infrastructure. This course is ideal for individuals looking to start or advance their careers in roles like Cloud Engineer, DevOps Engineer, or Cloud Solutions Architect.

Why Learn Mastering in Cloud Computing ?

HIGH DEMAND FOR CLOUD PROFESSIONALS

As businesses migrate to the cloud, the need for skilled cloud engineers, architects, and DevOps specialists is skyrocketing. Secure a career in a field with explosive growth and high demand.

COMPREHENSIVE SKILL SET

Master core areas like cloud infrastructure design, automation with IaC, CI/CD pipelines, and container orchestration to become a well-rounded cloud professional.

PRACTICAL HANDS-ON EXPERIENCE

Work with leading tools like Terraform, Kubernetes, and Docker through real-world scenarios and simulations to build genuine cloud expertise.

REAL-WORLD CAPSTONE PROJECT

Engage in an 80-hour industry-aligned Capstone Project and real-time simulations to prepare for actual cloud challenges and build your professional portfolio.

CAREER GROWTH OPPORTUNITIES

Open doors to high-paying roles like Cloud Solutions Architect, DevOps Engineer, Cloud Security Engineer, and Site Reliability Engineer with comprehensive career support.

Program Advantages

✅ Industry-driven course ensuring up-to-date, in-demand knowledge and skills

✅ Learn through real-world scenarios, simulations, and the Capstone Project to tackle cloud computing challenges

✅ Learn from certified professionals and IIT Faculty offering insights beyond theoretical knowledge.

✅ Covering Multi-Cloud (AWS, Azure, GCP), DevOps, Infrastructure as Code (IaC), and more

✅ Access career services like mentorship, resume building, and job placement assistance

✅ Earn a globally recognized certification to boost credibility and career prospects

✅Flexible online learning accessible to both professionals and fresh graduates

✅ Access course materials anytime, learn at your own pace (weekend batches)

✅ Gain hands-on experience with tools like Terraform, Kubernetes, Docker, and Jenkins

✅ Job-ready focus with practical skills and industry best practices for competitive cloud roles

Mastering in Cloud Computing Program Certifications

Applied Data Science with Python Curriculum

Module 01 - Cloud Foundations and Core Concepts
Lecture 01: Introduction to Cloud Computing, Service Models – IaaS, PaaS, SaaS
Lecture 02: Deployment Models – Public, Private, Hybrid, Multi-cloud
Lecture 03: Virtualization Concepts – Hypervisors, VM Provisioning
Lecture 04: Networking Basics – VPC, Subnets, Gateways, Load Balancers
Lecture 05: Core Cloud Services – Compute, Storage, Databases, Networking
Lecture 06:  Cloud Architecture Design Principles
Lecture 07: Cloud Service Integration Patterns
Module 02 - Cloud Platforms(AWS , Azure , GCP)
Lecture 08: AWS Core Services – EC2, S3, RDS, Lambda
Lecture 09: AWS Networking – VPC, IAM, ELB, Auto Scaling
Lecture 10: Cloud security, IAM, CSPM, DevSecOps toolchain (SAST/SCA)
Lecture 11: AWS Storage & Security Services
Lecture 12: Azure Core Services – Virtual Machines, Blob Storage, VNets
Lecture 13: Azure Functions, AD, Networking
Lecture 14: Azure Security & Monitoring Tools
Lecture 15: Observability, monitoring, tracing, and SRE/practices for production reliability
Lecture 16: GCP Core Services – Compute Engine, Cloud Storage, Cloud SQL
Lecture 17: GCP Networking – VPC, IAM, Cloud Functions
Lecture 18: GCP Security & Operations
Lecture 19: Multi-Cloud Service Comparison Workshop
Module 03 - Infrastructure as Code and Devops for Cloud
Lecture 20: Terraform Basics, State Management, Modules
Lecture 21: Terraform Advanced Features – Variables, Outputs, Workspaces
Lecture 22: AWS CloudFormation & Azure Resource Templates
Lecture 23: CI/CD Pipelines – GitHub Actions, Jenkins, Azure DevOps
Lecture 24: Docker Fundamentals – Containers, Images, Registries
Lecture 25: Kubernetes Concepts – Pods, Deployments, Services
Lecture 26: Helm Charts for Kubernetes Deployment
Lecture 27: GitOps Practices for Cloud Deployment
Module 04 - Cloud Security , Governance and Compliance
Lecture 28:  IAM Best Practices, Role-Based Access Control
Lecture 29: Encryption – KMS, SSL/TLS, Data at Rest/In Transit
Lecture 30: Network Security – Security Groups, WAF, NACLs
Lecture 31: Compliance Frameworks – GDPR, HIPAA, ISO 27001
Lecture 32: Policy as Code – Azure Policy, OPA
Lecture 33: Security Automation & Cloud Threat Simulation
Module 05 - Cloud Economics(FinOps) & Sustainability
Lecture 34: FinOps Principles & Practices
Lecture 35: Practical training on cloud cost management and cost-optimization techniques
Lecture 36: Cloud Cost Optimization Strategies
Lecture 37: Right-Sizing Resources for Cost Efficiency
Lecture 38:  Designing Green Cloud Solutions

 

Module 06 - Advanced Architecture & Multi-Cloud Strategies
Lecture 39: Advanced Load Balancing & CDN Design
Lecture 40: Disaster Recovery Planning & High Availability
Lecture 41: Multi-Cloud Integration Patterns
Lecture 42: Hybrid Cloud Architectures
Lecture 43: Serverless & Event-driven Architectures

 

Mastering in Cloud Computing Skills Covered

Mastering in Cloud Computing Tools Covered

Mastering in Cloud Computing Program Benefits

Comprehensive Multi-Cloud Expertise

Master AWS, Azure, and GCP to become versatile and highly employable in any cloud environment with deep understanding of multi-cloud architectures.

Advanced DevOps & Automation Skills

Learn essential automation tools like Terraform, Docker, Kubernetes, Jenkins, and GitHub Actions that are critical for modern cloud infrastructure.

Extensive Practical Experience

Build your portfolio with 20+ hands-on assignments, multiple real-world projects, and an 80-hour comprehensive capstone project.

Expert Mentorship & Guidance

Learn from IIT faculty and certified industry professionals with extensive practical experience in cloud architecture and DevOps.

Complete Career Transformation

Comprehensive program designed for both fresh graduates and professionals looking to transition into high-demand cloud roles with full career support.

Industry-Ready Certifications

Earn globally recognized certifications in course completion and capstone project completion to boost your professional credibility.

Admission Process

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.