Containerized AI & ML Deployment with Docker Training Course

This instructor-led, live training in South Africa (online or on-site) is aimed at engineers who wish to advance their knowledge of Docker 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 tools integration processes.
• Secure their Docker applications.

CI/CD for AI is a structured approach to automating model packaging, testing, containerization, and deployment using continuous integration and continuous delivery pipelines.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to automate end-to-end AI model delivery workflows using Docker and CI/CD platforms.

As the training concludes, participants will be able to:

• Create automated pipelines for building and testing AI model containers.
• Implement version control and reproducibility for model lifecycles.
• Integrate automated deployment strategies for AI services.
• Apply CI/CD best practices tailored to 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 in 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) programme was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).

Kubernetes is currently the leading platform for container orchestration.

NobleProg has been delivering Docker and Kubernetes training since 2015. Having successfully completed over 360 training projects, we have established ourselves as one of the world's most recognised training providers in the field of containerisation.

Since 2019, we have also been assisting our customers in validating their performance in Kubernetes environments by preparing them to sit and pass 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.

Furthermore, the training focuses on gaining practical experience in Kubernetes Administration; therefore, we recommend participation even if you do not intend to take the CKA exam.

Format of the Course

• Interactive lecture and discussion.
• Ample exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

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

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

Furthermore, the training focuses on gaining practical experience in Kubernetes application development; therefore, we recommend participation even if you do not intend to sit for the CKAD exam.

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

Course Format

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

Course Customisation Options

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

Docker is an open-source platform designed for automating the process of building, shipping, and running applications within containers.

This instructor-led live training (available online or onsite) targets engineers who want to use Docker to deploy and manage software as containers rather than traditional standalone applications.

Upon completion of 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.

Format of the Course

• Interactive lecture and discussion.
• 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 Docker, please visit: https://www.docker.com

Learn how to build, deploy and administer 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 gain the skills needed to operate modern container platforms and troubleshoot applications across development and production environments.

In this instructor-led, live training South Africa (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.

Utilising Docker, a leading containerization platform, enables the creation of portable, scalable, and highly reproducible environments essential for robust ML systems.

Designed for intermediate to advanced technical professionals, this instructor-led, live training (available online or onsite) focuses on operationalizing and containerizing complete ML pipelines using Docker.

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

• Containerize workloads associated with ML training, validation, and inference.
• Architect and orchestrate comprehensive ML pipelines leveraging Docker and complementary tools.
• Establish versioning, reproducibility, and CI/CD workflows for ML components.
• Deploy, monitor, and scale ML services within containerized infrastructures.

Course Delivery Format

• Engaging lectures complemented by practical live demonstrations.
• Practical exercises dedicated to constructing authentic ML pipeline components.
• Live lab sessions implementing end-to-end containerized workflows.

Customisation Options

• For bespoke training aligned with specific ML infrastructure requirements, please get in touch to explore available options.

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

GPU acceleration is fundamental for executing high-performance deep learning workloads with both scalability and efficiency.

This instructor-led, live course, available online or onsite, is designed for intermediate technical professionals seeking to configure, optimise, and execute GPU-enabled AI workloads within Docker containers.

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

• Construct and run GPU-enabled containers for both training and inference tasks.
• Set up CUDA, drivers, and runtime libraries for containerised AI workflows.
• Enhance resource allocation and isolation for GPU-intensive applications.
• Deploy scalable, containerised deep learning services in production settings.

Course Format

• Interactive teaching reinforced by practical, real-world demonstrations.
• Exercised practice centred on GPU-enabled development.
• Hands-on implementation within a live-lab environment.

Course Customisation Options

• To arrange tailored training aligned with your specific infrastructure or GPU stack, please contact us.

Hybrid AI deployment involves executing artificial intelligence inference across cloud infrastructure, on-premise servers, and edge locations through unified, container-based processes.

This instructor-led live training session, available online or onsite, is designed for senior professionals aiming to architect and implement distributed AI inference systems across varied environments.

Upon completing this programme, participants will be equipped to:

• Develop secure, scalable containerised AI services suitable for multi-site operations.
• Deploy AI inference workloads to cloud platforms, local servers, and edge devices using Docker.
• Utilise orchestration tools to automate distributed AI operations.
• Enhance inference latency, reliability, and resilience across diverse infrastructure setups.

Course Format

• In-depth presentations facilitated by subject matter experts.
• Extensive practical exercises and hands-on application.
• Real-world experimentation within a controlled live-lab environment.

Customisation Options

• To tailor this course to your organisation’s specific infrastructure or use cases, please contact us to arrange customisation.

In this instructor-led live training held South Africa (onsite or remotely), participants will learn how to deploy sample servers within containers, then automate, scale, and manage these servers in a Kubernetes cluster. The training covers advanced topics, guiding participants through 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 held in South Africa, participants will learn the foundational aspects of building microservices using Spring Cloud and Docker. Attendees will put their knowledge to the test through practical exercises and the incremental development of sample microservices.

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

• Understand the core concepts of microservices.
• Utilize Docker to construct 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.
• Apply Docker Compose for end-to-end integration testing.

This instructor-led, live training in South Africa (online or onsite) targets intermediate-level developers and DevOps engineers aiming to build, deploy, and manage microservices via Spring Cloud and Docker.

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

• Developing microservices leveraging Spring Boot and Spring Cloud.
• Containerising applications with Docker and Docker Compose.
• Implementing service discovery, API gateways, and inter-service communication.
• Monitoring and securing microservices within production environments.
• Deploying and orchestrating microservices using Kubernetes.

OpenShift is one of the leading Kubernetes-based platforms for deploying and managing containerised applications in cloud, hybrid and on-premises environments.

This hands-on training teaches participants how to install, administer and troubleshoot OpenShift clusters while applying security, networking and storage best practices. Through practical exercises, participants gain the skills needed to confidently manage production-ready OpenShift environments.