Why Learn About Containers?
Containers solve the reliability problems that arise when software moves from one computing environment to another. This could be when moving applications from a developer’s laptop to a test environment, from a staging environment to production, or even when moving apps from on on-premise data venter to virtual machines in a public or private cloud. Containers do this by encapsulating the application code along with its dependencies, libraries, other binaries, and all configuration files needed to run it in one package. Containerizing the app and its dependencies means that differences in OS distributions and underlying infrastructure are abstracted away.
While containers have been a part of Linux for a long time, it was only when Docker exploded on the scene in 2013 that their usage has swept the IT landscape. These days there are plenty of competitors to Docker, including containerd, CRI-O, and Kata. In addition to the container runtimes, there are a lot of options when it comes to container orchestration, like Docker Swarm, Amazon ECS, Apache Mesos, and the wildly popular Kubernetes.
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Deep Learning, basic Docker fundamentals using images from NVIDIA GPU cloud, working with various frameworks, and networks to train, test and validate results. Skills Gained Students will be able to...