All Courses
Virtualization, Docker, and Kubernetes for Data Engineering
edX
Course
Beginner
Free to Audit
Certificate

Virtualization, Docker, and Kubernetes for Data Engineering

Pragmatic AI Labs

Master virtualization, Docker, and Kubernetes for data engineering. Gain hands-on experience with cloud development environments, container orchestration, and production best practices.

4 hrs/week4 weeksEnglish1,481 enrolled
Free to Audit

About this Course

Dive into the world of virtualization, containerization, and orchestration for data engineering: Understand virtualization fundamentals and work with virtual machines Explore Docker containers and build scalable microservices Orchestrate containers using Kubernetes and cloud platforms Utilize cloud development environments like GitHub Codespaces Learn production best practices, including monitoring, testing, and CI/CD Gain practical experience with industry-standard tools and techniques. Develop the skills to build, deploy, and manage containerized data solutions at scale. Whether you're a student or data professional, level up your data engineering capabilities.

What You'll Learn

  • Virtualization concepts and virtual machines
  • Docker containers and microservices
  • Kubernetes architecture and deployments
  • Cloud development with GitHub Codespaces
  • Container registries for Kubernetes
  • Cloud-based Kubernetes solutions
  • Production monitoring, testing, and CI/CD

Instructors

N

Noah Gift

Executive in Residence and Founder of Pragmatic AI Labs

K

Kennedy Behrman

Senior Data Engineer

Course Info

PlatformedX
LevelBeginner
PacingUnknown
CertificateAvailable
PriceFree to Audit

Start Learning Now