Containerized AI & ML Deployment with Docker Training Course

This instructor-led, live training in Latvia (delivered online or on-site) is designed for engineers aiming to elevate their Docker proficiency, facilitating large-scale application deployment while ensuring operational control.

By the conclusion of this training, participants will have the capability to:

• Create bespoke Docker images.
• Deploy and oversee large volumes of Docker applications.
• Evaluate various container orchestration solutions to select the optimal option.
• Implement a continuous integration pipeline for Docker applications.
• Integrate Docker applications with established continuous integration workflows.
• Fortify the security of Docker applications.

Master the construction, deployment, and administration of containerized environments using Docker, Kubernetes, and OpenShift. This five-day, hands-on training covers container images, Kubernetes workloads, cluster networking, storage, security, monitoring, and practical OpenShift administration. Participants will gain the competencies required to manage modern container platforms and troubleshoot applications across both development and production settings.

In this instructor-led, live training in Latvia (onsite or remote), participants will learn how to create and manage Docker containers, then deploy a sample application inside a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training goes on to more advanced topics, walking participants through the process of securing, scaling and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

• Set up and run a Docker container.
• Deploy a containerized server and web application.
• Build and manage Docker images.
• Set up a Docker and Kubernetes cluster.
• Use Kubernetes to deploy and manage a clustered web application.
• Secure, scale and monitor a Kubernetes cluster.

Training Objectives: Acquire theoretical and operational skills in Docker and Kubernetes.

In this live, instructor-led training in Latvia (onsite or remote), participants will learn how to deploy a collection of sample servers inside containers, then automate, scale, and manage their containerized servers within a Kubernetes cluster. The training goes on to more advanced topics, walking participants through the process of securing, networking and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

• Set up and run a Docker container.
• Deploy containerized databases and servers.
• Set up a Docker and Kubernetes cluster.
• Use Kubernetes to deploy and manage different environments under the same cluster.
• Secure, scale and monitor a Kubernetes cluster.

In this live, instructor-led training session in Latvia, participants will explore the fundamental principles of building microservices with Spring Cloud and Docker. Learners will test their expertise through guided exercises and the progressive development of sample microservices.

By the end of this training, participants will be able to:

• Comprehend the basics of microservices.
• Utilize Docker to build containers for microservice applications.
• Create and deploy containerized microservices using Spring Cloud and Docker.
• Integrate microservices with discovery services and the Spring Cloud API Gateway.
• Employ Docker Compose for end-to-end integration testing.

This instructor-led live training, conducted either online or onsite, is designed for intermediate developers and DevOps engineers seeking to build, deploy, and manage microservices using Spring Cloud and Docker.

By the end of this course, participants will be equipped to:

• Develop microservices using Spring Boot and Spring Cloud.
• Containerize applications with Docker and Docker Compose.
• Implement service discovery, API gateways, and inter-service communication.
• Monitor and secure microservices in production environments.
• Deploy and orchestrate microservices using Kubernetes.

OpenShift is a prominent Kubernetes-based platform for deploying and managing containerized applications within cloud, hybrid, and on-premises environments.

This practical training guides participants through the installation, administration, and troubleshooting of OpenShift clusters while adhering to best practices in security, networking, and storage. Through real-world exercises, participants acquire the skills necessary to confidently manage production-ready OpenShift environments.