Hybrid AI Deployment: Docker, Cloud, and Edge Integration Training Course

This live, instructor-led training in Uzbekistan, offered online or onsite, is designed for engineers seeking to enhance their Docker knowledge to deploy applications at a larger scale while maintaining control.

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

• Build their own Docker images.
• Deploy and manage a large number of Docker applications.
• Evaluate different container orchestration solutions and choose the most suitable one.
• Set up a continuous integration process for Docker applications.
• Integrate Docker applications with existing continuous integration processes.
• Secure their Docker applications.

Upon completion of this training, participants will be capable of:

• Creating custom Docker images.
• Deploying and managing a large number of Docker applications.
• Evaluating various container orchestration solutions to select the most appropriate one.
• Establishing a continuous integration process for Docker applications.
• Integrating Docker applications with existing continuous integration toolchains.
• Implementing security measures for Docker applications.
• Utilizing Kubernetes to deploy and manage diverse environments within a single cluster.
• Securing, scaling, and monitoring a Kubernetes cluster.

Discover how to build, deploy, and administer containerized environments using Docker, Kubernetes, and OpenShift. This five-day, interactive training spans container images, Kubernetes workloads, cluster networking, storage solutions, security measures, monitoring techniques, and practical OpenShift administration. Participants will acquire the necessary skills to operate modern container platforms and troubleshoot applications across both development and production settings.

Through this instructor-led live training in Uzbekistan (onsite or remote), participants will acquire the skills to create and manage Docker containers, as well as deploy a sample application within one. The curriculum also covers automating, scaling, and managing containerized applications inside a Kubernetes cluster. Furthermore, the training progresses to advanced topics, guiding participants through securing, scaling, and monitoring a Kubernetes cluster.

Upon completion of this training, participants will be able to:

• Set up and operate a Docker container.
• Deploy a containerized server and web application.
• Construct and oversee Docker images.
• Establish a Docker and Kubernetes cluster.
• Utilize Kubernetes to deploy and manage a clustered web application.
• Secure, scale, and monitor a Kubernetes cluster.

Training objectives: Acquire both theoretical and practical skills in Docker and Kubernetes.

The "Advanced Docker and Kubernetes" course is a comprehensive training covering the Kubernetes platform and its ecosystem. It is designed for participants with varying levels of experience, offering a full range of both fundamental and advanced Kubernetes functionalities. Key topics include Containers, Labels, Controllers, Services, Secrets, Persistent Volumes, Claims, Namespaces, Resource Quotas, the Container Networking Model, Service Discovery, Scaling, Load Balancing, Cluster Management, Kubernetes Installation, Cluster Security, Access Control, High Availability of Control Planes, Monitoring and Logging, Self-Healing of Applications, Advanced Scheduling, Microservices-Based Applications, Application Design Patterns, and Deployment of Applications on Kubernetes Clusters.

In this instructor-led, live training Uzbekistan (onsite or remote), participants will learn to deploy sample servers within containers, followed by automating, scaling, and managing these servers in a Kubernetes cluster. The training advances to sophisticated topics, guiding participants through the processes 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 instructor-led, live training in Uzbekistan, participants will learn the fundamentals of building microservices using Spring Cloud and Docker. Their knowledge will be tested through hands-on exercises and the step-by-step development of sample microservices.

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

• Understand the core principles of microservices.
• Use Docker to build containers for microservice applications.
• Build and deploy containerized microservices using Spring Cloud and Docker.
• Integrate microservices with discovery services and the Spring Cloud API Gateway.
• Use Docker Compose for end-to-end integration testing.