Technology Training • Cloud & DevOps
Cloud & DevOps Training for Institutions & Organizations
Hands-on training in how modern software is shipped and run: packaging applications in containers, orchestrating them with Kubernetes, automating delivery with CI/CD, and defining cloud infrastructure on AWS and Azure as code.
What the training covers
Modules are selected and sequenced for each cohort. A short workshop may use one or two; a semester course or corporate program can cover all of them.
Module 1
Cloud fundamentals on AWS and Azure
Core compute, storage, networking and identity services on both major clouds, and how to design a simple, sensible architecture.
- AWS
- Microsoft Azure
- Cloud architecture basics
Module 2
Containerization with Docker
Packaging an application so it runs the same everywhere, with small, secure images.
- Dockerfiles and images
- Multi-stage builds
- Docker Compose for local stacks
Module 3
Orchestration with Kubernetes
Running containers at scale: deployments, services, configuration and rolling updates on a real cluster.
- Pods, Deployments and Services
- Config and secrets
- Rolling updates and scaling
Module 4
CI/CD pipelines
Automating build, test and deployment so every change follows the same path to production.
- GitHub Actions
- Jenkins
- Pipeline design and quality gates
Module 5
Infrastructure as Code with Terraform
Describing cloud infrastructure in version-controlled code that can be reviewed, reused and rebuilt.
- Terraform workflow
- Modules and state
- Reviewing infrastructure changes
Who it is for
Colleges & universities
Final-year CSE and IT students preparing for cloud, DevOps and SRE roles, and faculty adding cloud-native labs to networking or software engineering courses.
Organizations & engineering teams
Developers taking on deployment responsibility, operations teams moving to containers, and teams standardising their CI/CD and infrastructure practice.
Prerequisites and lab setup
What learners should know beforehand, and what your lab or IT team needs to have ready. We confirm the final checklist with you before the program starts.
Learner prerequisites
- Comfort with the Linux command line (files, processes, permissions)
- Basic networking concepts: IP addresses, ports, DNS
- Ability to read a simple application in any language
Lab and infrastructure
- One laptop per learner with at least 8 GB RAM and virtualization enabled (for Docker)
- Permission to install Docker, kubectl and Terraform
- Cloud accounts: we agree in the proposal whether to use your organization's accounts, education credits or free tiers, and how costs are capped
- Unrestricted outbound internet for pulling images and packages
How it is delivered
The same cloud & devops content can be delivered in different formats, on-site or live online.
Technical workshops
A workshop suits a contained outcome such as containerising an application and deploying it through a CI pipeline.
Semester training
A semester course can take one application from a laptop to a Kubernetes cluster, adding Terraform and CI/CD along the way.
Faculty development (FDP)
Faculty sessions focus on running cloud labs within institutional budgets and grading infrastructure work.
Corporate training
Corporate programs can work against your own cloud provider, pipeline tooling and deployment process.
Cloud & DevOps Training FAQs
Do learners need paid cloud accounts?
Not necessarily. Many labs run on free tiers or education credits, and Docker and Kubernetes work can run locally. We plan accounts and cost limits with you before the program starts.
AWS or Azure?
We teach either or both. For colleges we usually suggest the platform that matches your students' target employers; for companies, the platform you run on.
Will our lab network allow this?
Container and cloud labs need outbound internet and the ability to install tools. We share a pre-session checklist so your IT team can confirm access before day one.
Does this prepare learners for cloud certifications?
The content overlaps with associate-level cloud certifications, but this is hands-on skills training, not an exam-cram course. Certification is the learner's choice and is not part of our completion certificate.
Can you train our operations team on our own pipeline?
Yes. We can review your current pipeline tooling and build exercises around it, so the team practises on the systems they maintain.
Planning a broader program? See all technology training programs.
Plan Cloud & DevOps training for your cohort
Share your cohort, current skill level, timeline and lab setup. We will prepare a tailored syllabus and proposal.