Ementorhub

What you'll learn

Master virtualization, containerization, and Docker, including Dockerfile creation and multi-container orchestration with Compose and Airflow.

Develop expertise in Kubernetes core concepts, cluster architecture, and deployment using cloud environments, GitHub Codespaces, and AI-driven tools.

Navigate data scenarios mastering containerization, deploying apps, and addressing production issues with cloud orchestration and SRE practices.

Skills you'll gain

Kubernetes

GitHub

Cloud Development

Devops Tools

Virtual Machines

Application Deployment

Virtualization

Docker (Software)

Site Reliability Engineering

Software Development Tools

Scalability

Software Development

Microservices

Development Environment

Containerization

Database Management

There are 4 modules in this course

Throughout this course, you'll explore virtualization, containerization, and Kubernetes, mastering the very tools that power data engineering in the industry. Each week presents a new set of tools and platforms that are indispensable in data engineering. From mastering Docker and Kubernetes to exploring advanced topics such as AI-driven coding with GitHub Copilot, efficient container image management with Azure and Amazon Elastic Container Registries, and Site Reliability Engineering (SRE) practices, you'll go beyond the basics and acquire the expertise needed to thrive in the dynamic and data-driven landscape of advanced data engineering. Whether you're a current student looking to expand your skills or a working professional aiming to take your expertise to the next level, this course is tailored to equip you with the advanced knowledge and hands-on experience necessary for success.

Using Docker

Kubernetes: Container Orchestration in Action

Building Kubernetes Solutions