Docker Training in Burlington

CI/CD for AI is a structured approach to automating the packaging, testing, containerization, and deployment of machine learning models using continuous integration and continuous delivery pipelines.

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

Upon completion of the training, 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, ensuring alignment with public sector workflows, governance, and accountability.

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, specifically designed to meet the needs of government agencies.

Course Customization Options

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

Hybrid AI deployment involves running AI inference across cloud, on-premise, and edge environments using unified container-based workflows. This instructor-led, live training (online or onsite) is designed for advanced-level professionals who aim to design and deploy distributed AI inference systems across diverse environments for government and other sectors. Upon completion of this training, participants will be able to: - Build secure and scalable containerized AI services for multi-location environments. - Deploy AI inference workloads to cloud, local servers, and edge devices using Docker. - Integrate orchestration tools to automate distributed AI operations. - Optimize inference latency, reliability, and resilience across diverse infrastructure. **Format of the Course** - Guided presentations and expert-led discussions. - Extensive hands-on practice and applied exercises. - Real-world experimentation in a controlled live-lab setup. **Course Customization Options** - For tailored adjustments to align this course with your organization’s infrastructure or use cases, please contact us to customize the training for government or other specific needs.

Docker is a containerization platform used to create portable, isolated, and secure deployment environments for AI inference services. This instructor-led, live training (online or onsite) is designed for government technical professionals at beginner to intermediate levels who aim to build secure, portable AI inference microservices that can be deployed consistently across local machines, servers, or cloud VMs for government use. By the conclusion of this workshop, participants will be able to: - Build lightweight inference containers suitable for both local and cloud deployment. - Secure containerized AI services using best-practice techniques. - Implement portable microservice workflows for consistent environments. - Deploy AI inference endpoints across diverse infrastructures. **Format of the Course** - Guided lectures paired with practical demonstrations. - Hands-on exercises to reinforce deployment and security techniques. - Live-lab practice for building and running portable inference services. **Course Customization Options** - To tailor this training to your specific infrastructure or AI tooling stack, please contact us to arrange.

In this instructor-led, live training in Burlington (onsite or remote), participants will learn how to deploy sample servers within containers, then automate, scale, and manage these containerized servers using a Kubernetes cluster. The training progresses to more advanced topics, guiding participants through the processes of securing, networking, and monitoring a Kubernetes cluster for government use.

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

• Set up and operate a Docker container.
• Deploy containerized databases and servers.
• Configure a Docker and Kubernetes cluster.
• Utilize Kubernetes to deploy and manage multiple environments within the same cluster.
• Secure, scale, and monitor a Kubernetes cluster for government operations.

GPU acceleration is essential for executing high-performance deep learning workloads in a scalable and efficient manner. This instructor-led, live training (online or onsite) is designed for intermediate-level technical professionals who wish to configure, optimize, and run GPU-enabled AI workloads within Docker containers. At the conclusion of this course, participants will be able to: - Build and run GPU-enabled containers for both training and inference. - Configure CUDA, drivers, and runtime libraries for containerized AI workflows. - Optimize resource allocation and isolation for GPU-intensive applications. - Deploy scalable, containerized deep learning services in production environments. **Format of the Course** - Interactive instruction supported by real-world demonstrations. - Practice exercises focused on GPU-enabled development. - Hands-on implementation in a live-lab environment. **Course Customization Options** - For tailored training aligned with your infrastructure or GPU stack for government, please contact us to arrange.

Docker is a containerization platform designed to create reproducible, portable, and scalable environments for machine learning (ML) systems. This instructor-led, live training (available online or onsite) is targeted at intermediate to advanced technical professionals who aim to containerize and operationalize comprehensive ML pipelines using Docker. Upon completion of 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 complementary tools. - Implement versioning, reproducibility, and continuous integration/continuous deployment (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 constructing 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 tailored for government and other public sector entities.

Docker is a containerization platform that enables consistent, portable, and reproducible environments for artificial intelligence (AI) and machine learning (ML) workloads. This instructor-led, live training (online or onsite) is designed for intermediate-level professionals who wish to package ML codebases, dependencies, and models using Docker for reliable development-to-production workflows in government settings. After completing this course, participants will be able to: - Build and manage Docker images tailored for AI and ML applications. - Containerize machine learning pipelines, tools, and dependencies. - Optimize Docker environments for performance and portability. - Deploy containerized ML services across different runtime environments. **Format of the Course** - Concept demonstrations supported by guided discussion. - Hands-on exercises focused on real-world containerization tasks. - Practical implementation using live-lab Docker environments. **Course Customization Options** - To customize this training for government or your organizational environment, please contact us to arrange.

This instructor-led, live training (online or onsite) is designed for intermediate-level developers and DevOps engineers who aim to build, deploy, and manage microservices using Spring Cloud and Docker. By the end of this training, participants will be able to: - Develop microservices with Spring Boot and Spring Cloud. - Containerize applications using 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, ensuring alignment with best practices for government workflows and governance.

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

In this instructor-led, live training in [location] (onsite or remote), participants will learn how to create and manage Docker containers, then deploy a sample application within a container. They will also gain the skills to automate, scale, and manage their containerized applications within a Kubernetes cluster. The training further delves into advanced topics, guiding participants through securing, scaling, and monitoring a Kubernetes cluster for government use. 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 for government operations.

The Certified Kubernetes Administrator (CKA) program was developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF). Kubernetes has become a leading platform for container orchestration in modern computing environments. 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 premier training organizations globally in the field of containerization. Since 2019, we have also assisted our clients in validating their performance in Kubernetes environments by preparing them to pass the CKA and CKAD exams. This instructor-led, live training (available online or on-site) is designed for System Administrators and Kubernetes users who wish to confirm their expertise by passing the CKA exam. Additionally, the training focuses on gaining practical experience in Kubernetes administration, making it valuable even for those not planning to take the CKA exam. **Format of the Course:** - Interactive lectures and discussions. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options:** - To request a customized training program for government or other specific needs, please contact us to arrange. - For more information about CKA certification, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

In this instructor-led, live training in Burlington, participants will learn how to manage the Red Hat OpenShift Container Platform for government environments.

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

• Create, configure, manage, and troubleshoot OpenShift clusters for government use.
• Deploy containerized applications on-premises, in public clouds, or on hosted clouds for government operations.
• Secure the OpenShift Container Platform to meet government security standards.
• Monitor and gather metrics to ensure compliance with government regulations.
• Manage storage solutions that align with government data management policies.

The Certified Kubernetes Application Developer (CKAD) program has been developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which hosts Kubernetes. This instructor-led, live training (online or onsite) is designed for Developers who wish to validate their skills in designing, building, configuring, and exposing cloud native applications for government use on Kubernetes. The training also emphasizes gaining practical experience in Kubernetes application development. We recommend participating in this course even if you do not plan to take 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 best-known training companies worldwide in the field of containerization. Since 2019, we have also been assisting our clients in confirming their proficiency in Kubernetes environments by preparing them and encouraging them to pass the CKA and CKAD exams. **Format of the Course** - Interactive lecture and discussion. - Numerous exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange. - For more information about CKAD, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

This instructor-led, live course in Burlington offers participants a comprehensive overview of Rancher, tailored for government use. Through hands-on practice, attendees will learn how to effectively deploy and manage a Kubernetes cluster using Rancher, ensuring alignment with public sector workflows and governance requirements.

This instructor-led, live training in Burlington (online or onsite) is aimed at engineers who wish to enhance their knowledge of Docker for government purposes, enabling them to deploy applications on a larger scale while maintaining control. By the end of this training, participants will be able to: - Construct their own Docker images. - Deploy and manage multiple Docker applications efficiently. - Evaluate various container orchestration solutions and select the most appropriate one. - Establish a continuous integration process for Docker applications. - Integrate Docker applications with existing continuous integration tooling processes. - Secure their Docker applications effectively.

By the end of this training, participants will be able to: - Construct their own Docker images. - Deploy and manage a large number of Docker applications. - Assess various container orchestration solutions and select the most appropriate one for government needs. - Establish a continuous integration process for Docker applications. - Integrate Docker applications with existing continuous integration tools and processes. - Secure their Docker applications effectively. - Utilize Kubernetes to deploy and manage different environments within the same cluster. - Ensure the security, scalability, and monitoring of a Kubernetes cluster.

This instructor-led, live training in Burlington (online or onsite) is aimed at engineers who wish to utilize Docker for deploying and managing software as containers, rather than traditional standalone applications. 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. This training is designed to align with public sector workflows, governance, and accountability, ensuring that participants are well-equipped to leverage Docker for government projects.

In this instructor-led, live training in Burlington, participants will gain a comprehensive understanding of building microservices using Spring Cloud and Docker. The training includes hands-on exercises and the step-by-step development of sample microservices to reinforce participant knowledge.

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

• Understand the core principles and benefits of microservices architecture.
• Utilize Docker to create and manage containers for microservice applications.
• Develop and deploy containerized microservices using Spring Cloud and Docker, ensuring alignment with best practices for government projects.
• Integrate microservices with discovery services and the Spring Cloud API Gateway to enhance system reliability and scalability.
• Employ Docker Compose for comprehensive end-to-end integration testing, ensuring robustness and efficiency in deployment processes for government applications.

OpenShift Container Platform v4 is an enterprise-ready Kubernetes platform developed by Red Hat, designed to automate the deployment, scaling, and management of containerized applications for government and other public sector organizations.

This instructor-led, live training (available online or onsite) is aimed at system administrators and DevOps engineers who wish to deploy, manage, and operate OpenShift clusters in production environments for government use.

The course offers a hands-on approach to installing and managing OpenShift 4 clusters, working with Operators, securing workloads, and operating applications at scale within the context of public sector workflows, governance, and accountability.