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

This instructor-led live training in India (online or onsite) 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 represents a systematic methodology for automating the packaging, testing, containerization, and deployment of models through continuous integration and delivery pipelines.

This instructor-led live training (available online or on-site) targets intermediate professionals eager to automate end-to-end AI model workflows using Docker alongside CI/CD platforms.

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

• Establish automated pipelines for constructing and testing AI model containers.
• Ensure version control and reproducibility throughout model lifecycles.
• Deploy automated strategies for AI service implementation.
• Adopt CI/CD best practices specifically adapted for machine learning operations.

Course Format

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

Customization Options

• If your organization needs tailored pipeline workflows or platform integrations, please reach out to us to customize this course.

The Certified Kubernetes Administrator (CKA) certification is jointly offered by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).

Kubernetes has emerged as a prominent platform for orchestrating containers.

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 globally recognized training providers in the field of containerization.

Since 2019, we have assisted our clients in validating their proficiency in Kubernetes (k8s) environments by preparing and encouraging them to take the CKA and CKAD examinations.

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

Furthermore, the training emphasizes gaining practical experience in Kubernetes administration. Therefore, we recommend participation even if you do not plan to take the CKA exam.

Course Format

• Interactive lectures and discussions.
• Extensive 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 make arrangements.
• For more information about the CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The Certified Kubernetes Application Developer (CKAD) certification program is jointly offered by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which hosts Kubernetes.

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

Additionally, the training emphasizes gaining practical experience in Kubernetes application development. Therefore, we recommend participating even if you do not plan to take the CKAD exam.

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

Course Format

• Interactive lectures and discussions.
• Extensive 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.
• 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, deploying, and running applications within containers.

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

By the end 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.
• Ample 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 conducted in India (onsite or remote), participants will learn to create and manage Docker containers and deploy a sample application within a container. Additionally, participants will learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. The training concludes with advanced topics, guiding participants through 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 robust containerization platform, enabling the creation of portable, reproducible, and scalable environments essential for modern ML systems.

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

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

• Encapsulate ML training, validation, and inference workloads within containers.
• Orchestrate and design comprehensive ML pipelines leveraging Docker and complementary tools.
• Establish versioning, reproducibility, and CI/CD practices for ML components.
• Deploy, monitor, and scale ML services within containerized infrastructures.

Course Format

• Engaging interactive lectures complemented by practical demonstrations.
• Hands-on exercises dedicated to constructing real-world ML pipeline components.
• Live lab sessions implementing end-to-end containerized workflows.

Customization Options

• For training tailored to specific ML infrastructure requirements, please reach out to discuss custom options.

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

Hybrid AI deployment involves executing AI inference across cloud, on-premise, and edge environments through unified container-based workflows.

This instructor-led live training (available online or onsite) targets advanced professionals aiming to design and deploy distributed AI inference systems across diverse environments.

Upon completing this course, participants will be equipped to:

• Create secure and scalable containerized AI services for multi-location setups.
• Deploy AI inference workloads to cloud platforms, local servers, and edge devices using Docker.
• Leverage orchestration tools to automate distributed AI operations.
• Enhance inference latency, reliability, and resilience across varied infrastructure.

Course Format

• Guided presentations and expert-led discussions.
• Extensive hands-on practice and applied exercises.
• Real-world experimentation within a controlled live-lab environment.

Customization Options

• To tailor this course to your organization’s specific infrastructure or use cases, please reach out to us for customization.

In this instructor-led, live training in India (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 instructor-led live training conducted at India, participants will master the essentials of building microservices using Spring Cloud and Docker. Through practical exercises and the step-by-step construction of sample microservices, participants will have their knowledge tested and refined.

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

• Understand the fundamentals 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.

This instructor-led, live training in India (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to build, deploy, and manage microservices using Spring Cloud and Docker.

By the end of this training, participants will be able 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 stands as a premier Kubernetes-based platform for deploying and managing containerized applications in cloud, hybrid, and on-premises environments.

This hands-on training instructs participants on installing, administering, and troubleshooting OpenShift clusters while integrating security, networking, and storage best practices. Through practical exercises, participants acquire the skills required to confidently manage production-ready OpenShift environments.