Cloud Computing
Master cloud and DevOps end-to-end — AWS, Azure and Google Cloud, plus Docker, Kubernetes, Terraform and CI/CD — and layer AI on top to build, deploy and run intelligent cloud-native systems.
11Months
Duration
30+
Hands-On Projects
33+
Tools Mastered
1
Capstone Project
Program Overview
Master cloud and DevOps end-to-end — AWS, Azure and Google Cloud, plus Docker, Kubernetes, Terraform and CI/CD — and layer AI on top to build, deploy and run intelligent cloud-native systems.
Cloud and DevOps skills sit behind almost every modern application — and the professionals who can architect, automate and secure them are in constant demand. This program takes you across the major clouds (AWS and Azure), through the full DevOps toolchain (Git, Jenkins, Ansible, Terraform, Docker, Kubernetes, monitoring), and into the AI-driven practices reshaping the field — generative AI on the cloud, containerising AI services, and AI orchestration. You build a large portfolio of hands-on projects and finish with an industry-oriented capstone that showcases real cloud-native, automated systems to employers.
At a glance
- Duration
- 10 Weeks
- Level
- Intermediate
- Format
- Live · Online
- Awarded by
- University partner
- Career support
- Included
Why This, Why Now
Everything runs on the cloud now — and it needs people to run it.
Global cloud spending is on track to pass a trillion dollars, and enterprises are still migrating off on-premises systems. That makes skilled cloud and DevOps engineers — especially those who can layer AI and automation on top — among the most in-demand and best-paid professionals in tech.
$1.1T+
projected global cloud spend by 2028
33+
cloud & DevOps tools mastered
3
clouds covered — AWS, Azure, GCP
#1
most in-demand infrastructure skill set
Why Join This Program
Everything that makes this different.
01Multi-Cloud: AWS & Azure
Architect and deploy across the major clouds, not just one provider.
0230+ Hands-On Projects
CI/CD pipelines, containers, multi-cloud deployments and real infrastructure.
03Exam-Aligned with Major Certs
Curriculum mapped to leading AWS and Azure (AZ-104) certification tracks.
04DevSecOps & Security Built In
Secure pipelines, IAM and best practices woven throughout.
05Learn from Cloud Engineers
Live sessions with practitioners who run cloud and DevOps in production.
06AI-Powered Cloud & DevOps
Generative AI on the cloud, containerising AI services and AI orchestration.
Your Learning Journey
Your 10 Weeks journey — from foundation to mastery.
Cloud Foundations
AWS and Azure architecture, core services, IAM, compute, storage and networking.
GenAI on Cloud
Generative AI foundations and applied GenAI on AWS.
DevOps Core
Git, CI/CD with Jenkins, and IaC with Ansible and Terraform.
Containers
Docker containerisation and Kubernetes orchestration at scale.
Monitoring & Azure AI
Monitoring, DevOps on AWS, Azure AZ-104 and AI services on Azure.
Capstone
An industry-oriented capstone covering the latest cloud technologies.
The Complete Curriculum
What you'll build — module by module.
16 modules · hands-on courses, workshops and real deliverables.
Courses
- 01Introduction to the Cloud Computing & DevOps program and learning journey
- 02How AI is reshaping cloud and DevOps roles
- 03Orientation to tools, labs and the capstone
- 04Setting your goals and outcomes
You'll Deliver
Program orientation and a personal learning roadmap
Courses
- 01Cloud fundamentals and core concepts
- 02Introduction to AWS and Azure architecture
- 03Compute, storage, networking and IAM basics
- 04Cloud cost and billing fundamentals
You'll Deliver
A foundational multi-cloud readiness assessment
Courses
- 01Generative AI concepts on the cloud
- 02AWS AI/ML services overview
- 03Foundations for deploying GenAI on AWS
- 04Responsible AI on the cloud
You'll Deliver
A GenAI-on-AWS foundations exercise
Courses
- 01AWS architecture and Solutions Architect fundamentals
- 02EC2, EBS, VPC, subnets, RDS and Lambda
- 03Designing scalable, resilient AWS solutions
- 04High availability and cost optimisation
You'll Deliver
A scalable AWS architecture design
Courses
- 01Building generative AI applications on AWS
- 02Deploying and serving GenAI models
- 03Integrating GenAI into cloud workflows
- 04Scaling GenAI services
You'll Deliver
A deployed generative AI service on AWS
Courses
- 01DevOps and DevSecOps lifecycle
- 02Version control with Git and GitHub
- 03CI/CD pipelines with Jenkins — jobs, pipelines, Jenkinsfile
- 04Automating build and deployment
You'll Deliver
A Jenkins CI/CD pipeline from commit to deploy
Courses
- 01Infrastructure as Code (IaC) concepts
- 02Configuration management with Ansible
- 03Provisioning infrastructure with Terraform
- 04Automating environment setup
You'll Deliver
A Terraform + Ansible provisioned environment
Courses
- 01Docker architecture, images and registries
- 02Containerising applications
- 03Docker networking and volumes
- 04Docker security best practices
You'll Deliver
A dockerised multi-tier application
Courses
- 01Kubernetes architecture and core components
- 02Deployments, scaling and self-healing
- 03Services, networking and RBAC
- 04Managing workloads at scale
You'll Deliver
A Kubernetes deployment with scaling and self-healing
Courses
- 01Monitoring fundamentals and observability
- 02Metrics, logging and alerting
- 03Building monitoring dashboards
- 04Incident response basics
You'll Deliver
An instrumented app with monitoring dashboards
Courses
- 01AWS DevOps services — CodeBuild, CodeDeploy, CodePipeline
- 02CI/CD on AWS
- 03Infrastructure automation on AWS
- 04Deploying and managing on AWS
You'll Deliver
A CI/CD pipeline built with AWS DevOps services
Courses
- 01Azure administration and governance
- 02Managing identities, compute and storage
- 03Azure networking and monitoring
- 04AZ-104 aligned skills
You'll Deliver
An Azure deployment managed with Resource Manager
Courses
- 01Containerising AI services
- 02Deploying AI containers on Azure
- 03Managing AI workloads in containers
- 04Scaling AI services
You'll Deliver
A containerised AI service deployed on Azure
Courses
- 01Monitoring AI services on Azure
- 02Managing AI workloads and cost
- 03Observability for AI systems
- 04Reliability and performance
You'll Deliver
A monitored, managed AI service on Azure
Courses
- 01Orchestrating AI workflows on Azure
- 02Multi-service AI pipelines
- 03Automation and scheduling
- 04End-to-end AI orchestration
You'll Deliver
An orchestrated multi-service AI pipeline on Azure
Courses
- 01Capstone kickoff — scope an industry-aligned cloud problem
- 02Build sprint with 1-on-1 mentor support
- 03Presentation dry-run with an expert panel
You'll Deliver
An industry-oriented capstone plus a 30+ project portfolio across AWS, Azure and DevOps
Learning Journey
We're with you the whole way.
Hands-on, lab-first learning
Tools You'll Master
22+ industry-standard tools.
Industry Projects
10+ projects on real datasets.
Every project is built on real, publicly available data — the portfolio that gets you shortlisted.
Scalable AWS Architecture
Design and plan a highly available, cost-optimised AWS solution as a Solutions Architect.
GenAI Service on AWS
Deploy and serve a generative AI application on AWS infrastructure.
Jenkins CI/CD Pipeline
Build an end-to-end CI/CD pipeline from commit to deployment with Jenkins.
IaC with Terraform & Ansible
Provision and configure a full environment using infrastructure as code.
Dockerised Microservices
Containerise and deploy a multi-tier application with Docker.
Kubernetes Deployment
Deploy, scale and self-heal workloads on a Kubernetes cluster.
Monitoring & Observability
Instrument an application with metrics, logging and alerting dashboards.
Azure AZ-104 Deployment
Administer and manage an Azure environment aligned to AZ-104 skills.
Containerised AI on Azure
Containerise and orchestrate an AI service on Azure.
Cloud Capstone System
Build an industry-aligned, automated cloud-native system end-to-end.
Projects are built on real publicly available datasets and are indicative; they may evolve as the curriculum updates.
Skills You'll Cover
21+ job-ready skills.
The Capstone
Walk out with a cloud portfolio, not just a certificate.
Your capstone is an industry-aligned cloud-native system — designed, deployed and automated across the program, and presented to an expert panel. Alongside 30+ hands-on projects spanning CI/CD, containers and multi-cloud, it becomes the proof of capability that gets you hired.
Choose an industry-aligned problem that matches your target role
Apply the full stack — cloud, DevOps, containers and AI
Deploy real, automated, monitored infrastructure
Present to mentors as you would to an engineering panel
What You'll Walk Away With
Skills that show up in interviews.
Architect and deploy across AWS and Azure
Build CI/CD pipelines with Jenkins and infrastructure as code
Containerise and orchestrate apps with Docker and Kubernetes
Monitor and secure cloud systems end-to-end
Deploy, containerise and orchestrate AI services on the cloud
Ship a 30+ project cloud & DevOps portfolio you can demo in interviews
Who This Is For
Built for where you're headed.
Software Engineers
Add cloud and DevOps to your stack and move into high-demand roles.
System & IT Admins
Modernise from on-prem into cloud architecture and automation.
DevOps Aspirants
Master the full toolchain — CI/CD, containers, IaC and monitoring.
Career Switchers
Enter cloud from a non-programming background with hands-on skills.
The Techversity Difference
Not another video course.
With Techversity
- 30+ real projects + an industry capstone
- Multi-cloud — AWS and Azure with AI services
- Full DevOps toolchain plus GenAI and AI orchestration
- 1-on-1 mentor and career support
- University-partner certificate that carries weight
Typical online courses
- A few basic deployments
- One cloud provider only
- Certification prep with no real automation or AI
- No personal guidance
- A completion badge, not capability
Awarded By Our University Partners
A credential that carries weight.
Techversity doesn't run these programs alone — every certification is awarded and backed by our accredited international university partners.
EU Global
An international institution partnering with Techversity to award globally recognised professional credentials.
ESDST
A partner institution offering accredited executive and professional certifications through Techversity.
Your certificate is issued by the awarding university partner. Techversity facilitates admission, guidance and support end-to-end.
Fee & Financing
One transparent fee. Everything included.
Total Program Fee
$1,749
13% off$1,999
Inclusive of taxes
Pay in installments, as low as
$78/month
Inclusive of all taxes. Flexible EMI options available at 0% interest with no hidden cost.
What your fee includes
- Full curriculum — live sessions + self-paced labs
- 30+ projects and an industry-oriented capstone
- University-awarded certificate on completion
- 1-on-1 career advisor and interview prep
- Lifetime access to learning content
Financing partners
How To Apply
Three simple steps to enrol.
We review applications on a rolling basis — qualified candidates receive an admission offer.
Submit Application
Complete the online application with your background details.
Application Review
A dedicated admissions panel reviews your application against the program outcomes.
Admission Offer
Shortlisted candidates receive an offer; reserve your seat to join the cohort.
Your Cohort
Who you'll learn alongside.
You'll learn alongside working professionals from across the tech industry — the mix is what makes the cohort valuable.
Questions
Good to know.
Do I need a programming background to enroll?
Not necessarily. Some professionals come from non-programming backgrounds; a bachelor's degree and around a year of work experience help. The program builds cloud and DevOps skills from the fundamentals, and a foundations module brings everyone to the same baseline.
Which cloud platforms does this cover?
Primarily AWS and Microsoft Azure (including AZ-104 aligned skills), with cloud fundamentals that transfer to Google Cloud — so you can work across multi-cloud and hybrid environments.
What will I have built by the end?
30+ hands-on projects including CI/CD pipelines, containerised microservices, Kubernetes deployments and multi-cloud infrastructure, plus an industry-oriented capstone — a full portfolio for employers.
What tools will I learn?
Docker, Kubernetes, Terraform, Ansible, Jenkins, Git, Prometheus, Grafana and the core AWS and Azure services — 33+ industry-standard cloud and DevOps tools.
Is this aligned with cloud certifications?
Yes. The curriculum is mapped to leading AWS and Azure (AZ-104) certification tracks, so it doubles as strong preparation if you choose to sit those exams.
Can I take this while working full-time?
Yes. Sessions are live, online and weekend-friendly, and every class is recorded with lifetime access, so you can learn around a full-time job.
Ready to earn your Cloud Computing credential?
Talk to an advisor about the next cohort — no obligation, just a straight conversation about whether this is the right fit.