Flagship project
Static Site on a Cloud VM
Deploy a static website on an AWS EC2 instance with a custom domain and HTTPS.
- AWS
- EC2
- Linux
Cloud & DevOpsMost In-Demand
Complete Cloud Computing Masterclass with Live Projects & Placement Support
Complete Cloud Computing Masterclass course in AmritsarJob-oriented cloud training built on live consoles — small batches, daily hands-on practice and 100% placement assistance.
3 / 6 / 9 MonthsAdvancedHybrid
3 / 6 / 9 Months
Duration
Weekday/Weekend
Mode
12th Pass/Any Grad
Eligibility
10-12 Students
Batch Size
Admissions open
Complete Cloud Computing Masterclass · 3 / 6 / 9 Months
Batch timings
- Morning
- Evening
- Weekend
- Live online
About the programme
Course overview
Course overviewTechcadd's Complete Cloud Computing Masterclass is a practical, console-based introduction to cloud computing for beginners and career switchers.
It opens with cloud fundamentals, Linux basics and networking, then moves into AWS, Azure, Google Cloud, containers, Kubernetes, Infrastructure as Code, CI/CD and cloud security on real projects.
You finish with a deployed cloud portfolio, a capstone implementation, CV preparation and interview coaching.
Every business that once ran on a server in a back room now runs on someone else's servers, somewhere else in the world — and that shift reshaped what companies hire for. Cloud computing is no longer a specialist niche tucked behind a networking team; it is the default way software gets built, stored, scaled and secured. Startups launching their first product, banks migrating legacy systems, hospitals digitising patient records, and e-commerce teams preparing for festive-season traffic spikes all depend on people who understand how cloud infrastructure actually works. This is one of the steadiest demand curves in tech, and it shows no sign of flattening.
Techcadd's Complete Cloud Computing Masterclass is built on the tools you actually see in job listings — AWS, Microsoft Azure, Google Cloud, Docker, Kubernetes, Terraform, Jenkins, and CI/CD pipelines — not abstract theory or slideshow diagrams. You work in live cloud consoles from the very first module and finish with a deployed, documented cloud portfolio, not just a certificate. The programme runs in 3, 6, and 9-month tracks, and each longer track includes everything from the shorter one without repeating a single module. Batches are capped at 10–12 students, and every deliverable is reviewed weekly by mentors who still manage live cloud infrastructure.
Placement assistanceLive cloud labsInternship certificate
- Duration
- 3 / 6 / 9 Months
- Level
- Advanced
- Mode
- Hybrid
- Batches
- Morning, evening & weekend
Module by module
The curriculum, module by module
Module by module curriculumThe Complete Cloud Computing Masterclass is a nested ladder — each longer track includes every module from the shorter tracks and adds more depth. No module is repeated; you continue building on the skills you have already learned.
- Module 01 of 10
Cloud Fundamentals, Linux & Networking
Cloud computing fundamentals and the Linux and networking environment every cloud engineer assumes you already know.
Topics covered
- Cloud service models
- Linux commands
- file systems
- permissions
- networking basics
- DNS
- HTTP
Tools in this module
LinuxBashAWS Free TierAzure PortalYou finish withA working Linux environment and a deployed static site on a cloud VM
- Module 02 of 10
Compute, Storage & Identity on AWS
Core AWS services — launching compute instances, storing objects, and managing access with IAM.
Topics covered
- EC2
- S3
- IAM
- VPC basics
- security groups
- load balancing
Tools in this module
AWS EC2S3IAMVPCELBYou finish withA multi-tier application deployed on AWS with IAM roles
- Module 03 of 10
Microsoft Azure & Google Cloud Essentials
Multi-cloud fundamentals — deploying and managing the same workload on Azure and Google Cloud.
Topics covered
- Azure VMs
- Blob Storage
- Entra ID
- GCP Compute Engine
- Cloud Storage
- IAM
Tools in this module
Azure PortalAzure CLIGoogle Cloud Consolegcloud CLIYou finish withA workload deployed across Azure and GCP with documented differences
- Module 04 of 10
Databases, Monitoring & Cloud Security Basics
Managed databases, monitoring and the security foundations every cloud deployment needs.
Topics covered
- RDS
- DynamoDB
- CloudWatch
- CloudTrail
- encryption
- backup and recovery
Tools in this module
AWS RDSDynamoDBCloudWatchCloudTrailKMSYou finish withAn app connected to a managed database with monitoring and alerts configured
- Module 05 of 10
Docker, Containers & Kubernetes
Containerisation and orchestration — packaging applications and running them at scale with Kubernetes.
Topics covered
- Docker images
- containers
- Docker Compose
- Kubernetes pods
- deployments
- services
- ingress
Tools in this module
DockerDocker ComposeKuberneteskubectlAmazon EKSYou finish withA containerised application deployed on a Kubernetes cluster
- Module 06 of 10
Infrastructure as Code, CI/CD & Automation
Infrastructure as Code and CI/CD — provisioning cloud resources with code and automating delivery.
Topics covered
- Terraform
- Ansible
- Jenkins
- GitHub Actions
- pipeline design
- automated provisioning
Tools in this module
TerraformAnsibleJenkinsGitHub ActionsYou finish withA fully automated pipeline that provisions infrastructure and deploys an app
- Module 07 of 10
Cloud Architecture, Security & Cost Optimisation
Cloud architecture and security — designing resilient systems and keeping costs under control.
Topics covered
- Well-Architected Framework
- IAM policies
- VPC design
- cost management
- disaster recovery
Tools in this module
AWS Well-Architected ToolIAMVPCAWS Cost ExplorerAzure AdvisorYou finish withA documented architecture with security controls and a cost-optimisation report
- Module 08 of 10
Serverless, Advanced Networking & Multi-Cloud
Serverless computing and advanced networking — building event-driven systems and connecting clouds.
Topics covered
- AWS Lambda
- API Gateway
- EventBridge
- advanced VPC peering
- multi-cloud networking
- hybrid cloud
Tools in this module
AWS LambdaAPI GatewayEventBridgeAzure FunctionsGoogle Cloud RunYou finish withA serverless application with event-driven triggers and multi-cloud connectivity
- Module 09 of 10
Observability, Reliability & Performance at Scale
Observability and reliability — monitoring distributed systems and scaling them under real load.
Topics covered
- Logging
- tracing
- metrics
- Prometheus
- Grafana
- auto-scaling
- load testing
Tools in this module
PrometheusGrafanaELK StackAWS X-RayCloudWatchYou finish withA monitored, auto-scaling application with dashboards and alerts
- Module 10 of 10
Expert Capstone, Cloud Career & Interview Readiness
An expert capstone project combining multi-cloud architecture, automation and observability, plus career readiness for cloud roles.
Topics covered
- Cloud portfolio
- architecture documentation
- resume
- interview readiness
Tools in this module
GitHubPortfolioresumeLinkedInArchitecture diagramsYou finish withA complete expert capstone project with documentation, and an interview-ready cloud portfolio and resume
What you build
Projects that answer the interview question for you
Portfolio projectsEach project is reviewed individually, and the review notes go into your portfolio documentation.
Containerised App on Kubernetes
Build a Docker image and deploy it to a Kubernetes cluster with services and ingress.
- Docker
- Kubernetes
- EKS
Automated Cloud Pipeline
Provision infrastructure with Terraform and deploy through a GitHub Actions pipeline.
- Terraform
- GitHub Actions
- CI/CD
Expert Capstone
Complete an end-to-end expert capstone combining multi-cloud architecture, automation, observability and documentation.
- Multi-Cloud
- GitHub
The working loop
Learn it. Build it. Make it yours.
Learn it. Build it. Make it yours.Every project moves through the same loop: understand the brief, build it with guidance, then explain the decisions behind your work. The certificate is the receipt — the portfolio is the point.
- 01
Industry-focused curriculum
You learn it the way it is used in production, with the workflow and standards a cloud team expects.
Static Site on a Cloud VM
- 02
Live cloud labs
Every module runs on a real cloud console with real deployments and real monitoring, not a slide or a screenshot.
Containerised App on Kubernetes
- 03
Mentor-reviewed deliverables
Each module ends with a documented artefact reviewed weekly by a mentor who still manages live cloud infrastructure.
Automated Cloud Pipeline
- 04
Git and CI/CD from the start
Every project is version-controlled with Git and deployed through a pipeline, the way production teams work.
Expert Capstone
The honest pitch
Your months should build more than a certificate.
Your months should build more than a certificate.A course is worth the time you give it only if you finish with infrastructure you can show and skills you can defend.
Project review week at the Amritsar campus
Mentors mark up work line by line
Hiring drive & mock interview day
Practitioners run the panel, not HR
Why choose Complete Cloud Computing Masterclass
Why students choose techcadd
Why students choose techcaddWhat makes this masterclass at Techcadd different from a typical alternative is that every module is built on a real cloud console and deployed to live infrastructure, so you finish with an end-to-end cloud portfolio rather than disconnected certificates.
- 01
Mentors who still manage live cloud infrastructure
Not full-time lecturers — trainers who are still doing the job they teach.
- 02
One cloud environment, extended through every module
You start the environment in Module 01, extend it through every project, and complete the capstone by Module 10.
- 03
Small batch sizes
10–12 students per batch ensures every student gets personalised feedback on every deliverable.
- 04
Nested, no-repeat curriculum
Longer programs include everything from shorter tracks and add more depth — you never repeat a module.
- 05
Documented internship experience
Every student receives a documented internship certificate alongside their course certificate.
- 06
Placement support
Resume and LinkedIn preparation, interview coaching, and active placement assistance for graduates.
Eligibility
Who can join the Complete Cloud Computing Masterclass course
Who can join the Complete Cloud Computing Masterclass courseThis masterclass works for a specific starting point — here's who gets the most out of it.
- Educational backgroundNo specific degree or stream required — school leavers, graduates and career switchers all qualify.
- Prior experienceNone required. The programme opens at advanced level and builds from there across 3 / 6 / 9 months.
- AgeNo upper age limit. What matters is being able to commit to the full course rather than dropping off midway.
- EquipmentA laptop or desktop with a stable internet connection for classroom or live-online batches.
- Time commitmentAble to attend regularly across 3 / 6 / 9 months, in a morning, evening or weekend batch.
Where it leads
The roles this portfolio opens
Job titles vary by company, but the underlying expectations do not. Each destination below maps to work you will have already done during the programme.
Tools you will actually use
The working stack for Complete Cloud Computing Masterclass
Tools and technologies coveredEvery tool below is installed, configured and used by you during the course — not demonstrated on a slide. You leave able to set up your own environment from scratch.
20tools covered
Cloud platform
- AWS
- Microsoft Azure
- Google Cloud
Operating system
- Linux
Containerisation
- Docker
Container orchestration
- Kubernetes
Infrastructure as Code
- Terraform
Configuration management
- Ansible
CI/CD
- Jenkins
- GitHub Actions
Monitoring
- Prometheus
Observability
- Grafana
Certification
Get certified in Complete Cloud Computing Masterclass
Get certified in Complete Cloud Computing MasterclassIssued on completion against the modules you finished and the projects you submitted — plus an internship letter where the industrial training track applies. Shareable to LinkedIn, and verifiable by an employer who calls the Amritsar desk.
- Module-wise assessment, not attendance-based
- Project submissions logged against your certificate
- Internship letter on the industrial training track
- Verifiable directly with the campus office
Future scope
Where this takes you over the next five years
Where this takes you over the next five yearsThe skill does not stand still, and neither does what it is worth.
- Multi-cloud is the new baselineEmployers increasingly assume AWS knowledge will extend to Azure and GCP.
- Serverless and AI are the new layersTeams expect cloud engineers to integrate serverless computing and AI services, not just traditional VMs.
The objective is practical knowledge rather than memorised concepts.
Due diligence
How techcadd compares
How techcadd comparesWhat actually differs between this masterclass at Techcadd and a typical alternative.
| What you should ask | techcadd Amritsar | Other institutes |
|---|---|---|
| Live cloud work | Every module, from week one | Varies, often only at the end |
| Learning format | One cloud environment extended through every module | Topics demonstrated separately, rarely combined |
| Tools used | AWS, Azure, GCP, Docker, Kubernetes, Terraform | Usually limited to cloud basics |
| Batch size | 10–12 students per batch | Often 25–40 students per batch |
| Cloud deployment | Live deployments, CI/CD, monitoring | Rarely covered |
| Architecture patterns | Multi-cloud, Well-Architected, cost optimisation | Often only theory |
| Automation & IaC | Terraform, Ansible, Jenkins, GitHub Actions | Rarely covered |
| Portfolio | 10 documented cloud deliverables | Often just assignments, not portfolio-ready work |
| Certificate | Completion certificate + documented internship | Only a completion certificate |
| Placement support | Resume, LinkedIn, interview coaching, active placement | Often only a completion certificate |
Every comparison here is about substance, not marketing language.
Before you enrol
Questions we get asked at the admissions desk
Frequently asked questionsIf something here is not covered, the Amritsar desk will answer it directly — no call-back queue.
No. The programme opens at advanced level and assumes no background beyond comfort with a computer. Students who already have some exposure move through the early modules faster and spend the saved time on project work.
