CENGN Courses

CENGN’s Cloud System Specialist program provides solid grounding in the essential concepts and hands-on skills required to work successfully in a cloud systems environment. Modules focus on: Linux and open-source tools; containerization with Docker and Kubernetes; network configuration; cloud deployment with OpenStack.

CENGN’s Docker & Kubernetes Basics covers the key concepts and skills required to deploy and orchestrate containerized applications. Docker and Kubernetes, the industry leading container runtime and orchestration tools, are used throughout. In particular, the course covers Kubernetes architecture and key objects including replication controllers, deployments and services. The course culminates with a guided Kubernetes troubleshooting exercise.

Containerization and DevOps are revolutionizing the Information Technology world and introducing new paradigms into everything related to network-aware application development and deployment. This course continues on from CENGN’s Docker & Kubernetes Basics course, taking the learner on an in-depth journey that starts with container creation, adds storage and networking, secures that container and configures monitoring for an Internet accessible Kubernetes-based service

DevOps is sweeping the IT world, but what is it exactly? This short course clarifies the problems that led to DevOps, defines DevOps and explains how it can benefit any organization involved in developing and deploying software. Topics include: the pillars of DevOps, with a focus on people and culture; phases and tools in the DevOps lifecycle; connections to CI/CD practices; and a preview of new developments in DevOps.

Machine Learning is a rapidly growing field that has captured the interest of the global community. Given all the buzz around, it can be difficult to understand what exactly it is. This course will help you grasp what machine learning is and what it is not, as well as understand the motivations and use cases related to machine learning. You will see why Python has become the tool of choice for machine learning, and then use it to solve multiple types of machine learning problems.

As virtualization has become commonplace, various tools have emerged that treat virtualized infrastructure as code. This course introduces learners to the concepts behind Infrastructure as Code (IaC), the benefits of automating infrastructure deployment, and the tools that make it possible. Labs present real-world scenarios that build practical skills with Terraform, Chef, Puppet and Ansible. In particular, Terraform and Ansible are investigated and applied in depth.