GPU-Accelerated AI & Deep Learning with Docker Containers Training Course

This instructor-led, live training in Kenya (online or onsite) is aimed at engineers who wish to advance their knowledge of Docker so as 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 manager 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 tools integration processes.
• Secure their Docker applications.

Docker serves as a containerization platform that facilitates consistent, portable, and reproducible environments for artificial intelligence and machine learning workloads.

This instructor-led, live training, available either online or onsite, targets intermediate-level professionals aiming to package machine learning codebases, dependencies, and models using Docker to ensure reliable workflows from development to production.

Upon completing this course, participants will be equipped to:

• Create and manage Docker images specifically designed for AI and ML applications.
• Containerize machine learning pipelines, tools, and dependencies.
• Optimize Docker environments for enhanced performance and portability.
• Deploy containerized ML services across various runtime environments.

Course Format

• Concept demonstrations supported by guided discussions.
• Hands-on exercises centered on real-world containerization tasks.
• Practical implementation utilizing live-lab Docker environments.

Course Customization Options

• To tailor this training to your organizational environment, please contact us to arrange.

CI/CD for AI represents a structured methodology for automating the packaging, testing, containerization, and deployment of AI models through continuous integration and delivery pipelines.

This instructor-led live training, available online or onsite, targets intermediate-level professionals aiming to streamline end-to-end AI model delivery workflows using Docker and CI/CD platforms.

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

• Establishing automated pipelines for the construction and testing of AI model containers.
• Ensuring version control and reproducibility throughout the model lifecycle.
• Integrating automated deployment strategies for AI services.
• Applying CI/CD best practices specifically adapted for machine learning operations.

Format of the Course

• Instructor-guided presentations and technical discussions.
• Practical labs and hands-on implementation exercises.
• Realistic CI/CD workflow simulations within a controlled environment.

Course Customization Options

• If your organization requires customized pipeline workflows or platform integrations, please contact us to tailor this course.

The Certified Kubernetes Administrator (CKA) certification was established by The Linux Foundation in collaboration with the Cloud Native Computing Foundation (CNCF).

Today, Kubernetes stands as a premier platform for container orchestration.

NobleProg has been delivering Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognized training providers globally in the field of containerization.

Since 2019, we have also been assisting our customers in validating their performance in Kubernetes environments by preparing them and encouraging them to take the CKA and CKAD exams.

This instructor-led live training (available online or onsite) is designed for System Administrators and Kubernetes users who wish to validate their knowledge by passing the CKA exam.

Additionally, the training emphasizes gaining practical experience in Kubernetes Administration; therefore, we recommend participating even if you do not plan to take the CKA exam.

Course Format

• Interactive lectures and discussions.
• Ample exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange it.
• For more information about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The Certified Kubernetes Application Developer (CKAD) programme was developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the host organisation of Kubernetes.

This instructor-led, live training (available online or onsite) is designed for Developers who wish to validate their skills in designing, building, configuring, and exposing cloud native applications on Kubernetes.

Furthermore, the training emphasises gaining practical experience in Kubernetes application development. Therefore, we recommend participating even if you do not intend to sit for the CKAD exam.

NobleProg has been delivering Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognised training companies globally in the field of containerisation. Since 2019, we have also assisted our customers in validating their performance in k8s environments by preparing them and encouraging them to pass the CKA and CKAD exams.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.
• To learn more about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

Docker serves as a platform designed for developers and system administrators to manage distributed applications. It comprises a runtime environment for executing containers alongside a service that facilitates the sharing of containers.

By utilizing Docker, applications can operate seamlessly across laptops, dedicated servers, and virtual machines without requiring modifications.

This course dedicates its initial two days to teaching the fundamental usage of Docker, offering valuable insights for both developers and system administrators. The curriculum is enriched with extensive practical exercises, allowing participants to engage directly within their own Docker environments and construct their unique Docker images.

On the final day, participants will explore advanced tools that complement Docker, specifically Docker Machine, Docker Compose, and Docker Swarm.

This instructor-led, live training in Kenya (online or onsite) is designed for engineers who aim to utilize Docker for deploying and managing software as containers, moving away from traditional standalone software models.

After this training, participants will be able to:

• Install and configure Docker.
• Understand and implement software containerization.
• Manage Docker-based applications.
• Network different Docker applications and systems.
• Understand and edit Docker registries.

Docker serves as a robust platform enabling developers and system administrators to manage distributed applications effectively. It comprises a runtime environment for executing containers alongside a service designed for sharing them.

With Docker, applications can run consistently across laptops, dedicated servers, and virtual servers without any modifications.

This course covers the fundamental usage of Docker, providing value to both developers and system administrators. Throughout the two-day session, participants will engage in numerous hands-on exercises, working within their own Docker environments to create their own Docker images.

This instructor-led, live training in Kenya (online or onsite) is designed for DevOps engineers aiming to optimize and simplify the CI/CD process using Docker and Jenkins.

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

• Automate code delivery and pipeline deployment with Jenkins.
• Build applications using Docker and Dockerfiles.
• Configure authentication options to strengthen security.

This instructor-led live training, available online or onsite, is aimed at engineers who wish to evaluate each of these services to make an informed decision about which to deploy within their organization.

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

• Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
• Set up, configure and deploy a series of demo containers using a number of different approaches.
• Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
• Automate the deployment of Docker containers.
• Set up a continuous integration and deployment pipeline.
• Integrate Docker and Kubernetes into an existing continuous integration system.

In this instructor-led, live training in Kenya, participants will learn how to manage Red Hat OpenShift Container Platform.

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

• Create, configure, manage, and troubleshoot OpenShift clusters.
• Deploy containerized applications on-premise, in public cloud or on a hosted cloud.
• Secure OpenShift Container Platform
• Monitor and gather metrics.
• Manage storage.

In this instructor-led live training in Kenya (onsite or remote), participants will learn how to create and manage Docker containers before deploying a sample application inside one. Attendees will also discover how to automate, scale, and manage their containerized applications within a Kubernetes cluster. The training progresses to more advanced topics, guiding participants through the processes 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.

Docker serves as a containerization platform designed to create reproducible, portable, and scalable environments for machine learning systems.

This instructor-led, live training (available online or onsite) targets intermediate to advanced technical professionals aiming to containerize and operationalize complete ML pipelines using Docker.

Upon completing this training, participants will be able to:

• Containerize ML training, validation, and inference workloads.
• Design and orchestrate end-to-end ML pipelines using Docker and supporting tools.
• Implement versioning, reproducibility, and CI/CD for ML components.
• Deploy, monitor, and scale ML services in containerized environments.

Format of the Course

• Interactive lectures supported by practical demonstrations.
• Hands-on exercises focused on building real ML pipeline components.
• Live-lab implementation for end-to-end containerized workflows.

Course Customization Options

• For customized training aligned with specific ML infrastructure needs, please contact us to discuss options.

Course Delivery Format

• Engaging lectures coupled with interactive discussions.
• Ample opportunities for exercises and practical application.
• Real-world implementation exercises within a live-lab setting.

Customization Options

• For organizations seeking a tailored training experience, please reach out to us to make the necessary arrangements.

This hands-on course is designed to equip participants with all the essential tools needed to tackle the practical dimensions of Docker and Kubernetes. By the end of the program, attendees will have mastered the skills required to effectively manage and oversee these technologies.