About course
Cloud Computing and DevOps are at the core of modern software delivery, enabling organizations to build, deploy, and manage applications efficiently in cloud environments. This 22-week self-paced program provides a structured learning journey from Linux and networking fundamentals to cloud platforms, infrastructure automation, containers, Kubernetes, CI/CD, monitoring, security, and AI-assisted operations.
Throughout the program, learners gain hands-on experience with industry-standard technologies including AWS, Azure, Terraform, Docker, Kubernetes, GitHub Actions, Prometheus, and Grafana, while working on practical projects that simulate real-world cloud and DevOps environments. The curriculum also introduces modern practices such as Site Reliability Engineering (SRE), DevSecOps, FinOps, and AIOps, helping learners develop production-ready infrastructure skills.
In addition to technical training, the program includes portfolio development, resume building, interview preparation, and job-search guidance. By the end of the course, learners will have completed multiple hands-on projects and gained the skills needed to pursue careers in Cloud Computing, DevOps, and Infrastructure Engineering.
Tools & Technologies
Modern Cloud and DevOps teams rely on a diverse ecosystem of tools to automate infrastructure, streamline deployments, improve system reliability, and maintain security. This program provides hands-on exposure to the technologies commonly used in enterprise environments.
Learners will work with AWS and Microsoft Azure to understand cloud architecture, networking, storage, compute services, and resource management. Infrastructure automation is introduced through Terraform, enabling learners to create reproducible cloud environments using Infrastructure as Code principles.
For application deployment and orchestration, learners will gain practical experience with Docker and Kubernetes, two of the most widely adopted technologies in modern cloud-native environments. CI/CD workflows are implemented using Git, GitHub, and GitHub Actions, while monitoring and observability are explored through Prometheus and Grafana.
The program also introduces DevSecOps and AI-powered operational tools, helping learners understand how security, automation, and artificial intelligence are shaping the future of cloud operations.
Technologies Covered
Cloud Platforms
- Amazon Web Services (AWS)
- Microsoft Azure
Infrastructure Automation
- Terraform
- Infrastructure as Code (IaC)
Containers & Orchestration
- Docker
- Kubernetes
- Helm
CI/CD & Automation
- Git
- GitHub
- GitHub Actions
Monitoring & Observability
- Prometheus
- Grafana
Security & DevSecOps
- Trivy
- Snyk
- Checkov
AI-Augmented Operations
- GitHub Copilot
- Amazon Q
- AIOps Platforms
Skills You Will Gain
Cloud and DevOps professionals are expected to manage infrastructure, automate deployments, ensure system reliability, and maintain secure cloud environments. Throughout this program, learners will progressively build these capabilities through practical implementation and real-world projects.
By completing the program, you will gain expertise in Linux administration and networking fundamentals, enabling you to understand how modern infrastructure operates. You will learn to provision and manage cloud resources across AWS and Azure, automate infrastructure using Terraform, and implement Infrastructure as Code practices that improve scalability and consistency.
The program also develops skills in containerization and orchestration, allowing learners to package applications using Docker and deploy them efficiently using Kubernetes. In addition, learners will build CI/CD pipelines, implement monitoring and observability solutions, apply DevSecOps practices, and explore modern operational approaches such as Site Reliability Engineering (SRE), FinOps, and AIOps.
Key Competencies
- Cloud Infrastructure Deployment & Management
- Infrastructure as Code (Terraform)
- Docker Containerization
- Kubernetes Administration
- CI/CD Pipeline Automation
- Monitoring & Observability
- Cloud Security & DevSecOps
- Site Reliability Engineering
- Cloud Cost Optimization
- AI-Assisted Operations
Hands-On Project Experience
Practical experience is a core component of this program. Rather than learning concepts in isolation, learners apply their knowledge through projects that simulate real-world cloud and DevOps environments.
Each project is designed to reinforce technical concepts while helping learners build a professional portfolio that demonstrates their ability to deploy, automate, secure, and manage modern infrastructure.
Learners will design cloud environments, automate infrastructure provisioning, deploy containerized applications, build CI/CD pipelines, implement monitoring solutions, and apply security best practices. These projects provide valuable experience with the tools and workflows used by modern engineering teams.
Featured Projects
Cloud Infrastructure Deployment
Design and deploy scalable cloud infrastructure using industry best practices across leading cloud platforms.
Infrastructure Automation with Terraform
Implement Infrastructure as Code to automate provisioning, configuration, and management of cloud resources.
Containerized Application Deployment
Package and deploy applications using Docker while following modern containerization practices.
Kubernetes Workload Management
Deploy, scale, and manage containerized applications using Kubernetes orchestration.
CI/CD Automation Pipeline
Build automated pipelines that support continuous integration, testing, and deployment workflows.
Monitoring & Observability Platform
Implement monitoring dashboards, alerting systems, and performance visibility using Prometheus and Grafana.
DevSecOps Security Pipeline
Integrate security scanning and compliance checks into modern deployment workflows.