Cloud Computing Training & Certification Course (72 Hours Master Program)
Cloud Computing Training: The Cloud Computing Training programme by SkilBrill is a comprehensive 12-week (72-hour) hands-on program covering AWS, Microsoft Azure, Google Cloud, Terraform, Docker, Kubernetes, IAM, CLI. Available in classroom (Chennai Thoraipakkam), live online, and hybrid modes across India.
Total Duration12 Wks (72 Hours)
Training ModesClassroom / Online
CertificationsSkilBrill Certificate
Key StackAWS, Microsoft Azure, Google Cloud, Terraform
PrerequisitesBasic IT knowledge
Placement200+ Hiring Partners
Who Should Join?
Cloud architecture is the default stack for modern product and IT teams.
✓IT professionals: Join this programme to move into Cloud Computing Training roles.
✓Fresh graduates: Join this programme to move into Cloud Computing Training roles.
✓System administrators: Join this programme to move into Cloud Computing Training roles.
✓DevOps aspirants: Join this programme to move into Cloud Computing Training roles.
Fee: ₹15,000 – ₹75,000100% Practical Labs
72-Hour Syllabus
12-Module Cloud Computing Curriculum
Cloud Computing Training is a 12-week (72-hour) SkilBrill programme covering AWS, Microsoft Azure, Google Cloud, Terraform. Delivery is classroom, live online and hybrid. The 12 modules below are the full syllabus — about 6 hours each, with labs. Completing them prepares you for SkilBrill Certificate and placement support.
1
Foundations
M1: Cloud Computing Foundations
Cloud Computing Concepts and Service Models: IaaS, PaaS, SaaS, Deployment Models: Public, Private, Hybrid,…
2
Foundations
M2: AWS Core Services
AWS Global Infrastructure and IAM, EC2, S3, VPC, and RDS Fundamentals, Auto Scaling, ELB, and High Availabi…
GCP Resource Hierarchy and IAM, Compute Engine, App Engine, and Cloud Run, Cloud Storage, BigQuery, Cloud S…
5
Core Skills
M5: Cloud Networking and Security
Virtual Networks, Subnets, and Routing, Load Balancers, DNS, and CDN, Network Security Groups and Firewalls
6
Platform
M6: Cloud Identity and Access Management
Cloud IAM Models across AWS, Azure, GCP, Federation, SSO, and MFA in Cloud, Service Accounts and Managed Id…
7
Platform
M7: Cloud Storage and Databases
Object, Block, and File Storage Comparison, Relational and NoSQL Database Services, Data Lake and Data Ware…
8
Governance
M8: Cloud Native and Containers
Container Concepts and Docker Fundamentals, Kubernetes Architecture and Workloads, Managed Kubernetes: EKS,…
9
Governance
M9: Cloud Migration and Modernization
Migration Assessment and Portfolio Discovery, Rehost, Replatform, and Refactor Strategies, Cloud Migration…
10
Advanced
M10: Cloud Governance, Cost and Security
Cloud Governance Frameworks and Guardrails, Cost Optimization and FinOps Practices, Security Benchmarks, Co…
11
Advanced
M11: DevOps and CI/CD in Cloud
Infrastructure as Code with Terraform, CloudFormation, ARM, CI/CD Pipelines and GitOps, Monitoring, Logging…
12
Capstone
M12: Certification and Career Development
AWS, Azure, and GCP Certification Paths, Cloud Architect, Engineer, and Consultant Roles, Building a Cloud…
Frequently Asked Questions
Cloud Computing Training at SkilBrill is a live programme with labs, a completion certificate and placement support. The questions below cover eligibility, duration, tools, projects and how to enrol.
What is Cloud Computing?
Cloud Computing is a practical, job-oriented programme at SkilBrill. This training covers the core concepts, industry-standard tools, hands-on labs and real-world projects that employers look for when hiring for Cloud Computing roles. This programme covers the concepts, tools and real-world implementations needed for job roles.
Who should learn Cloud Computing?
IT professionals, career switchers, and fresh graduates looking to build a career in cloud computing and related roles.
What are the prerequisites?
Basic IT knowledge
What topics are covered?
Core concepts, architecture, tools, hands-on labs, projects, interview preparation and career support.
Is training online or classroom?
The master programme is online. City pages offer classroom and hybrid options where supported.
How long is the Cloud Computing Training course at SkilBrill?
SkilBrill's Cloud Computing Training programme runs for 12 weeks with 3 sessions per week (2 hours each), totalling 72 classroom hours across 12 modules. Weekday, weekend and evening batches are available.
Why should I learn Cloud Computing Training at SkilBrill?
SkilBrill Training Institute in Thoraipakkam, Chennai delivers Cloud Computing Training with working-professional trainers, production-style labs and placement support. The programme is 12 weeks (72 classroom hours) with weekday, weekend and evening batches in classroom, live online and hybrid modes.
How does SkilBrill help with jobs after Cloud Computing Training?
Beyond classroom hours, SkilBrill coaches you on a Cloud Computing Training resume, LinkedIn profile, mock interviews and project walkthroughs, then connects eligible candidates with hiring partners. Ask admissions for the current placement workflow on +91 8610964691.
How do I enroll in Cloud Computing Training at SkilBrill?
Use the Enroll form on this page, call +91 8610964691, or WhatsApp 918610964691. Share your name, email and preferred mode (online, classroom or one-to-one) and a counsellor will confirm the next Cloud Computing Training batch. Fees currently range ₹15,000 – ₹75,000.
Where is SkilBrill Training Institute located?
SkilBrill is at No. 22, 200 Feet Radial Road, Thoraipakkam, Chennai 600097, on the OMR IT corridor, about five minutes from Thoraipakkam Metro. Classroom batches for Cloud Computing Training run here; online learners join the same faculty remotely.
These are real interview questions asked by hiring teams at TCS, Cognizant, HCL, and Accenture for Cloud Computing roles. Practice them with a peer or mentor.
What is the difference between IaaS, PaaS, and SaaS?
IaaS (Infrastructure as a Service): You rent VMs, storage, and networking. You manage the OS, runtime, and app. Example: EC2, Azure VMs. PaaS (Platform as a Service): You deploy code; the provider manages the runtime. Example: App Service, Elastic Beanstalk. SaaS (Software as a Service): You use the app; the provider manages everything. Example: Salesforce, Office 365. The tradeoff is control vs. operational overhead.
Follow-up: When would you choose IaaS over PaaS for a new application?
Explain cloud workload identity.
Workload identity is how an application or service authenticates to cloud resources without a username/password. In Azure, managed identities let an Azure VM or Function access Key Vault or SQL Database. In AWS, IAM roles for EC2 or Lambda do the same. The identity is managed by the cloud provider, rotated automatically, and scoped to the resource. No credentials in code or config files.
Follow-up: How do you migrate an app that uses connection strings with embedded credentials to workload identity?
What is a landing zone?
A landing zone is a pre-configured cloud environment with networking, security, governance, and identity foundations. Instead of building from scratch for each workload, you deploy into a landing zone that already has VPCs, subnets, IAM policies, logging, and guardrails. Cloud Adoption Framework (Azure) and AWS Control Tower provide landing zone blueprints. This accelerates migration and enforces standards.
Follow-up: How do you design a landing zone for a company with multiple business units?
How do you estimate cloud costs before migration?
Start with the pricing calculator for compute, storage, and data transfer. Then add: load balancers, managed databases, backup storage, monitoring, and support. Data transfer out is often underestimated. Compare reserved instances or savings plans for steady workloads. Factor in migration costs: dual-running environments, training, and refactoring. Build a buffer for the first 6 months while you tune and right-size.
Follow-up: What are the most common reasons cloud migrations exceed budget?
What is infrastructure as code (IaC)?
IaC is managing infrastructure through configuration files instead of manual console clicks. Terraform, CloudFormation, and Bicep are common tools. Benefits: version control, reproducible environments, peer review, and automated rollbacks. IaC makes disaster recovery faster: you can rebuild the entire environment from code in a new region. It is a prerequisite for DevOps and GitOps practices.
Follow-up: How do you manage secrets in IaC without storing them in the code?
High Availability and Disaster Recovery with AWS: A Practical Guide
Your production database just went down in ap-south-1. Do you have a warm standby in ap-south-2, or are you explaining to the CTO why RTO is measured in hours?
Multi-AZ is not multi-region. For true HA, you need both.
RPO (Recovery Point Objective) and RTO (Recovery Time Objective) drive architecture decisions. Define them before you design.
Pilot light, warm standby, and multi-site active-active each have different cost and recovery profiles.
AWS Backup, Aurora Global Database, and Route 53 health checks are your DR building blocks.
Choosing the Right Cloud Service Provider for Your Business
AWS, Azure, or GCP? The wrong choice costs you more than money. It costs you years of technical debt and talent attrition.
AWS has the most services and the largest community. Azure wins in enterprise Microsoft shops. GCP leads in data and ML.
Pricing is opaque on all three. Use the pricing calculators, then add 30% for data transfer and hidden costs.
Multi-cloud sounds smart until you try to implement it. Start with one, get good, then expand.
Local support and partner ecosystem matter more than feature parity.
Unleashing the Power of Cloud: Transforming Businesses
Cloud transformation is not lift-and-shift. That is just expensive hosting. Real transformation means rethinking how you build, ship, and operate software.
Rehost, replatform, refactor. Each has different effort and payoff curves.
Cloud-native is not just containers. It is managed services, auto-scaling, and paying for what you use.
FinOps is the missing discipline. If you do not measure, you will overspend.
Talent gap is the real blocker. Training your team is cheaper than hiring consultants.
Join SkilBrill's Cloud Computing Training — a comprehensive programme covering the tools, concepts and real-world projects that employers look for. The master course is delivered through live online sessions with weekday, weekend and evening batch options.
Course Overview
Cloud Computing enables organisations to build scalable, resilient, and cost-efficient systems. This programme covers AWS, Azure, GCP, cloud architecture, and migration.
Why Learn Cloud Computing
Cloud skills are essential for modern IT roles including cloud engineer, architect, and consultant positions.
AWS, Microsoft Azure, Google Cloud, Terraform, Docker, Kubernetes, IAM, CLI, Git
Career Opportunities After This Programme
Cloud Engineer
Cloud Administrator
DevOps Engineer
Solutions Architect
Hands-on Labs
Hands-on lab on Cloud Fundamentals — build and run a working example covering Service models, Deployment models, Shared responsibility.
Hands-on lab on AWS Core Services — build and run a working example covering EC2, S3, VPC, IAM.
Hands-on lab on Azure Core Services — build and run a working example covering Virtual Machines, Storage, Azure AD, Networking.
Hands-on lab on Google Cloud Basics — build and run a working example covering Compute Engine, Cloud Storage, IAM, VPC.
Hands-on lab on Infrastructure as Code — build and run a working example covering Terraform, ARM templates, CloudFormation basics.
Hands-on lab on Containers and DevOps — build and run a working example covering Docker, Kubernetes overview, CI/CD on cloud.
Career Roadmap
Role Progression
Cloud Engineer
Cloud Administrator
DevOps Engineer
Solutions Architect
Step-by-Step Learning Path
Master Cloud Fundamentals
Master AWS Core Services
Master Azure Core Services
Master Google Cloud Basics
Master Infrastructure as Code
Master Containers and DevOps
Prepare for technical interviews and update your resume and portfolio
Course Duration, Mode and Certification
The course runs for 12 weeks with 3 sessions per week (2 hours per session), totalling 72 classroom hours. Classroom, online, and hybrid modes are available where supported. You will receive a SkilBrill completion certificate and work on real-world projects, with dedicated interview preparation support at the end of the programme.
Why Train at SkilBrill
SkilBrill Training Institute focuses on making you employable. Trainers are working professionals, labs mirror real production environments, and the placement cell connects eligible candidates with hiring companies. Enquire today for the next batch start date and fee details.
Career and Job Support
SkilBrill provides practical career support to help you move from training into relevant roles. Services include:
Resume assistance
LinkedIn profile guidance
Portfolio guidance
Technical interview preparation
Mock interviews
Project explanation preparation
Job-search guidance
Placement assistance
Resume Building Guidance
Keep your resume to one page if you have less than five years of experience.
Use a clean format with clear sections: contact, objective, skills, projects, education and certifications.
Tailor your skills section to match the job description.
Quantify achievements where possible, for example "reduced regression time by 30%".
Include links to your GitHub, LinkedIn and portfolio if available.
Proofread carefully; spelling and grammar errors create a poor impression.
LinkedIn Profile Optimisation
Use a professional headshot and a headline that includes your target role.
Write a summary that highlights your skills, projects and career goals.
List relevant tools, frameworks and certifications in the Skills section.
Share posts or articles about what you are learning to show activity.
Connect with trainers, classmates and professionals in your target domain.
Request recommendations from mentors or project reviewers.
GitHub and Portfolio Guidance
Create well-named repositories for each major project.
Add a README file explaining the project, technologies, setup steps and screenshots.
Use meaningful commit messages and keep code organised.
Include a portfolio website or GitHub profile readme that links to your best work.
Keep sensitive data like passwords and API keys out of public repositories.
Regularly update repositories with improvements and new projects.
Job Search Strategy
Update your resume and LinkedIn profile before applying.
Apply to roles on LinkedIn, Naukri, Indeed and company career pages.
Customise each application to match the job description.
Prepare a short elevator pitch for phone screenings.
Practise technical and behavioural questions daily.
Follow up politely after interviews and ask for feedback.
Attend meetups, webinars and networking events in your domain.
Frequently Asked Questions
What is Cloud Computing?
Cloud Computing is a practical, job-oriented programme at SkilBrill. This training covers the core concepts, industry-standard tools, hands-on labs and real-world projects that employers look for when hiring for Cloud Computing roles. This programme covers the concepts, tools and real-world implementations needed for job roles.
Who should learn Cloud Computing?
IT professionals, career switchers, and fresh graduates looking to build a career in cloud computing and related roles.
What are the prerequisites?
Basic IT knowledge
What topics are covered?
Core concepts, architecture, tools, hands-on labs, projects, interview preparation and career support.
Is training online or classroom?
The master programme is online. City pages offer classroom and hybrid options where supported.
AWS, Microsoft Azure, Google Cloud, Terraform, Docker, Kubernetes
Prerequisites
Basic IT knowledge.
Fee
₹45,000 – ₹75,000 (INR)
Placement
200+ Hiring Partners
Typical Salary
₹4 – 10 LPA
Summary
SkilBrill’s Cloud Computing Training is a 12 weeks, 72-hour job-oriented programme covering AWS, Microsoft Azure, Google Cloud with placement support. Classroom, live online and hybrid modes. Call +91 8610964691 to enrol.
Real-World Projects
Capstone Project
Deploy a multi-tier web application across AWS and Azure using Terraform: provision VPC, IAM, managed Kubernetes (EKS/AKS), CI/CD pipeline and a cost-optimized, secure landing zone.
Production Scenario
Resolve a cost overrun on an auto-scaling EC2/AKS cluster by introducing right-sizing, spot instances, savings plans and a FinOps dashboard with owner tagging.
