Cloud & AI Infrastructure Engineer Program

Why most people struggle to break into cloud engineering

Many learners want to move into cloud and DevOps, but they get stuck because the path is unclear.

They don’t know what to learn first
They watch tutorials without building real systems
They over-focus on certifications without practical skills
They lack projects that prove job readiness

This program solves that problem with a structured curriculum, guided labs, portfolio projects, and a clear path from fundamentals to modern infrastructure engineering.

Cloud & AI infrastructure is where the market is heading

Modern companies need engineers who can build and operate secure cloud systems, automate deployments, manage Kubernetes platforms, and support AI-ready infrastructure.

High demand Cloud, DevOps, platform, and AI infrastructure roles continue to expand across industries.

Career flexibility Pathways include Cloud Engineer, DevOps Engineer, Platform Engineer, SRE, and AI Infrastructure roles.

Portfolio-first hiring Real infrastructure projects dramatically improve credibility and interview readiness.

Program overview

The Cloud & AI Infrastructure Engineer Program prepares students to work with modern infrastructure platforms through practical, job-aligned training.

Linux administration and networking foundations
AWS cloud architecture and secure infrastructure
Terraform and DevOps automation workflows
Docker containers and Kubernetes operations
AI infrastructure concepts and deployment patterns

Two learner paths: beginner-friendly progression and an accelerated route for existing IT professionals.

Schedule an info session

Want to confirm fit before applying? Request an information session and get clarity on the program structure, weekly commitment, and learning path.

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Curriculum

A structured 24-week path designed to make students technically job-ready while building strong portfolio evidence.

Phase 1 — Foundations Linux • Networking • Git

Linux command line, permissions, filesystems, services, and troubleshooting
Networking fundamentals: IPs, DNS, routing, ports, protocols
Git workflows and developer collaboration basics

Phase 2 — Cloud Engineering AWS • VPC • IAM

AWS compute, storage, IAM, networking, load balancing, and monitoring
Secure cloud architecture and practical deployment patterns
Hands-on infrastructure design in real cloud environments

Phase 3 — DevOps Automation Terraform • CI/CD

Infrastructure as Code with Terraform
CI/CD pipelines and deployment automation
Version-controlled infrastructure and repeatable operations

Phase 4 — Containers & Kubernetes Docker • Kubernetes

Containerization, registries, Docker images, and workflows
Kubernetes deployments, services, ingress, scaling, and operations
Platform engineering concepts used in modern cloud environments

Phase 5 — AI Infrastructure & Career Launch Capstone • Portfolio • Career

AI infrastructure concepts, inference platform patterns, observability, and reliability
Capstone system design and portfolio refinement
Career prep, interview explanation practice, and job readiness support

Real projects you will build

This program emphasizes practical systems that students can show to employers and discuss in interviews.

Project 1 — AWS Infrastructure Platform

Design and deploy a production-style AWS environment with networking, compute, security, and monitoring.

VPC, subnets, routing
EC2, load balancer, IAM
Monitoring and secure design

Project 2 — DevOps Automation Platform

Automate infrastructure and application delivery using Terraform, Docker, and CI/CD pipelines.

Infrastructure as Code
Container build workflows
Automated deployment pipeline

Project 3 — Kubernetes Application Platform

Deploy and operate a containerized application using Kubernetes, service exposure, scaling, and rollout strategies.

Kubernetes deployment
Service and ingress
Scaling and reliability

Capstone Project

Students combine cloud, automation, containers, Kubernetes, and monitoring into a complete production-style platform project.

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Career outcomes

Graduates can pursue roles such as:

Cloud Engineer
DevOps Engineer
Platform Engineer
Site Reliability Engineer
AI Infrastructure Engineer

Certification preparation

The curriculum can align with industry certifications such as:

AWS Solutions Architect – Associate
AWS SysOps Administrator – Associate
Certified Kubernetes Administrator (CKA)

The main focus remains hands-on skill development and portfolio projects.

Instructor

Damian Igbe — Founder, Cloud Technology Experts

Cloud and DevOps instructor
Enterprise infrastructure and platform experience
Kubernetes and cloud-native specialist
Career-focused technical educator

Training is designed to be practical, structured, and aligned with real engineering work.

Who this program is for

Beginners who want a structured path into cloud and DevOps
IT professionals who want to level up into cloud/platform engineering
Career changers building practical infrastructure skills
Learners who want projects, labs, and job-oriented guidance

Tuition & financing

The goal is to make the next step clear and accessible while supporting serious learning outcomes.

Program tuition

$9,000 – $13,999

Hands-on labs
Projects and portfolio development
Career guidance and support

Payment options

Flexible payment plans
Scholarship pathways
Employer sponsorship where available

Workforce funding

WIOA or workforce-supported pathways
Eligibility guidance
Documentation support where applicable

Not ready yet? Start with the roadmap.

Download the free Cloud Engineer Career Roadmap and see the step-by-step path from foundations to cloud, DevOps, Kubernetes, and AI infrastructure.

Get the Roadmap

FAQ

Do I need prior IT experience?

No. The program is designed to support beginners, though motivated IT professionals can also move through an accelerated path.

How many hours per week should I expect?

Plan for about 5–6 hours of live instruction and 6–8 hours of labs and project work each week.

Is the program online?

The program can be delivered online or hybrid depending on your operational setup and cohort model.

Do projects really matter more than certifications?

Yes. Certifications help, but real projects and the ability to explain your architecture are often more valuable in interviews.

Apply to the program

Submit your application and we’ll follow up with next steps. If you’re still exploring, you can request an information session instead.

Beginners: structured learning path from zero to job-ready
IT professionals: accelerate into cloud, DevOps, and platform roles
Outcome: labs, projects, portfolio, and career support

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Ready to build the infrastructure behind modern cloud systems?

Apply now or start with the roadmap if you want to understand the path first.

Apply Now Download Roadmap