At Port Harcourt Data School, you learn DevOps by doing real work. From week one, you deploy AWS infrastructure, build Docker containers, manage Kubernetes clusters, and create CI/CD pipelines yourself.
Instead of watching demos, you work on live cloud systems. As a result, you gain real experience fast.
Start Strong with Real Tools from Day One
First, you enter a real engineering environment. Then, you begin building immediately.
You will:
- Deploy AWS and GCP resources
- Build and run Docker containers
- Manage Kubernetes clusters
- Automate deployments with CI/CD
Because of this approach, you don’t just learn DevOps, you practice it daily.
Why Live Projects Matter
Many people study DevOps. However, few can actually build real systems.
Today, employers want proof of skills. They look for:
- Real AWS deployments
- Working CI/CD pipelines
- Kubernetes applications
- Infrastructure-as-code projects
Therefore, certificates alone are no longer enough.
At Port Harcourt Data School, you solve this problem. You build real projects every week. Consequently, you graduate with a complete portfolio, not just notes.
Learn by Building, Not Watching
Traditional training focuses on theory first. Then, students complete one final project.
In contrast, this programme flips the model:
- You start building immediately
- You practise every week
- You complete multiple real projects
From your first class:
- You log into real AWS accounts
- You open Linux terminals
- You deploy actual infrastructure
So, instead of observing, you engineer systems yourself.
Programme Structure at a Glance
- Training style: Live project-based
- Practice ratio: 80% hands-on
- Projects: 6 real-world deployments
- Cloud access: Provided per student
As a result, you gain job-ready skills faster.
The Six Live Projects You Will Build
Throughout the programme, you complete six structured projects. Each one builds on the previous.
Project 1: Linux Automation
First, you write Bash scripts to automate:
- Server setup
- User management
- Backups
In addition, you apply real security hardening techniques.
Project 2: AWS Three-Tier Architecture
Next, you build a full cloud system:
- VPC with public/private subnets
- EC2 servers behind a load balancer
- RDS database
- S3 storage
Because of this, you understand real production architecture.
Project 3: Docker Microservices App
After that, you containerise a full application:
- Frontend
- Backend API
- Database
- Cache
Then, you manage everything with Docker Compose.
Project 4: Kubernetes Deployment (EKS)
Now, you move to orchestration.
You:
- Deploy an EKS cluster
- Run your containerised app
- Configure scaling and networking
As a result, you gain real Kubernetes experience.
Project 5: Full CI/CD Pipeline
Next, you automate everything.
You build a pipeline that:
- Tests code
- Builds Docker images
- Deploys to Kubernetes
Therefore, you understand modern DevOps workflows.
Project 6: Capstone DevOps Platform
Finally, you combine everything.
You add:
- Monitoring (Prometheus, Grafana)
- Logging (ELK Stack)
- Security (Vault, Trivy)
At this stage, you create a complete production-grade system.
Why This Training Stands Out
Many schools teach DevOps. However, few provide real infrastructure access.
Here’s what makes this programme different:
1. Real Cloud Labs
You work on real AWS and GCP systems.
You do not use simulations.
2. Practising Engineers as Instructors
Your trainers actively work in the industry.
Therefore, you learn current best practices.
3. Six Portfolio Projects
By graduation, you have:
- Six completed projects
- Full documentation
- A strong GitHub profile
As a result, you stand out to employers.
4. Certification Preparation Included
You also prepare for:
- AWS Cloud Practitioner
- AWS Solutions Architect
- Google Cloud Engineer
- Kubernetes Administrator
So, you gain both skills and certifications.
5. Job Placement Support
In addition, the school connects you to employers.
Graduates work in:
- Nigeria
- The UK
- Canada
- Remote global roles
Because of this, many students secure jobs quickly.
Week-by-Week Learning (Simplified)
The programme follows a clear path.
Weeks 1–3: Foundations
You learn:
- Linux
- Git & GitHub
- AWS basics
Then, you start your first projects.
Weeks 4–6: Cloud & Containers
Next, you work with:
- Advanced AWS
- GCP & Azure
- Docker
At this point, you begin building real applications.
Weeks 7–9: Orchestration & Automation
You move into:
- Kubernetes
- CI/CD pipelines
- Terraform & Ansible
Therefore, your systems become fully automated.
Weeks 10–12: Monitoring, Security & Career Prep
Finally, you focus on:
- Observability tools
- Cloud security
- Portfolio and job readiness
As a result, you graduate fully prepared.
Tools You Will Use
You will actively work with tools such as:
- AWS, GCP, Azure
- Docker, Kubernetes
- Terraform, Ansible
- GitHub Actions, Jenkins
- Prometheus, Grafana
Importantly, you don’t just see these tools, you use them in real projects.
Who Should Enroll?
This programme suits:
- Developers who want deployment skills
- IT administrators moving to cloud
- Network engineers exploring DevOps
- Graduates entering tech
- Career changers
In each case, you gain practical experience quickly.
Career Outcomes
DevOps roles are among the highest-paying tech jobs.
Typical roles include:
- Cloud Engineer
- DevOps Engineer
- Kubernetes Engineer
- Remote Cloud Engineer
Because of the hands-on training, many graduates secure roles within months.
Final Thoughts
Port Harcourt Data School focuses on one thing: real experience.
You:
- Build real infrastructure
- Work on real cloud platforms
- Create real projects
Therefore, you graduate ready to work, not just ready to learn https://www.portharcourtdataschool.com
