Kubeflow Essentials: Build, Train & Serve with Kubernetes Training Course

Upon completion of this instructional module, participants will demonstrate proficiency in the following areas:

• Construct custom Docker container images.
• Deploy and manage high volumes of Docker-based applications.
• Assess various container orchestration platforms to select the most appropriate solution for organizational needs.
• Establish continuous integration workflows tailored for Docker environments.
• Integrate Docker applications with existing CI/CD toolchains.
• Implement security best practices for Docker workloads.
• Utilize Kubernetes to deploy and manage diverse environments within a single cluster.
• Secure, scale, and monitor Kubernetes clusters effectively.

This instructor-led, live training in US (online or onsite) is intended for advanced-level platform engineers and DevOps professionals seeking to master the scaling of applications through microservices and Kubernetes. The curriculum is specifically designed for government agencies and public sector entities requiring robust technical expertise.

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

• Architecting and implementing scalable microservices infrastructures.
• Deploying and managing applications within Kubernetes clusters.
• Leveraging Helm charts to streamline service deployment processes.
• Monitoring and sustaining the operational health of microservices in production environments.
• Implementing security and compliance best practices within Kubernetes ecosystems.

Kubernetes serves as a leading container orchestration system extensively adopted for managing distributed applications in large-scale environments.

This instructor-led training program, available both online and onsite, is designed for advanced technical personnel seeking to apply artificial intelligence and machine learning techniques to optimize resource utilization, scheduling logic, and autoscaling protocols in Kubernetes.

Upon successful completion of this curriculum, participants will possess the ability to:

• Integrate AI/ML models to enhance workload scheduling accuracy in Kubernetes environments.
• Leverage predictive analytics to refine the allocation of CPU, GPU, and memory resources.
• Implement intelligent autoscaling mechanisms utilizing reinforcement learning and metric forecasting.
• Minimize infrastructure costs and latency through automated resource optimization processes.

Instructional Format

• Facilitated technical briefings and detailed analytical discussions.
• Practical laboratory exercises utilizing active Kubernetes clusters.
• Applied scenarios demonstrating the implementation of AI models in real-world operations.

Curriculum Customization Provisions

• To adapt this training to specific platform configurations or operational mandates, interested parties are advised to contact the provider for tailored modifications.

The Certified Kubernetes Administrator (CKA) credential is administered by The Linux Foundation in partnership with the Cloud Native Computing Foundation (CNCF).

Kubernetes has established itself as a premier platform for container orchestration.

NobleProg has provided Docker and Kubernetes instruction since 2015. Having successfully completed over 360 training initiatives, the organization is recognized globally as a leading provider of expertise in containerization solutions for government and public sector workflows.

Since 2019, we have assisted clients in validating their Kubernetes proficiency by preparing them for the CKA and CKAD certification examinations.

This instructor-led live training, available either online or onsite, is designed for system administrators and Kubernetes practitioners seeking to validate their expertise through the CKA examination process.

Additionally, the curriculum emphasizes practical administrative skills; therefore, participation is recommended even for those who do not plan to pursue official certification.

Course Format

• Interactive lectures and facilitated discussions.
• Extensive exercises and practice opportunities.
• Hands-on implementation within a live laboratory environment.

Customization Options

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

The Certified Kubernetes Application Developer (CKAD) curriculum was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which hosts Kubernetes.

This instructor-led live training, available online or on-site, is designed for Developers seeking to validate their proficiency in designing, building, configuring, and exposing cloud native applications within Kubernetes environments.

Furthermore, the program emphasizes practical application development skills; participation is recommended for professional development, regardless of an intent to sit for the CKAD examination.

NobleProg has provided Docker and Kubernetes training since 2015. With over 360 successfully completed projects, the organization has become a leading provider globally in containerization education. Since 2019, we have assisted clients in demonstrating their capabilities within k8s environments by preparing them to pass the CKA and CKAD exams.

Course Format

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

Customization Options

• To arrange customized training for this course, please contact our team.
• For additional information regarding CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

This professional development resource is designed for government agencies and contractors seeking to enhance their technical capabilities.

This guided educational program in US (available via remote or in-person modalities) is designed for Kubernetes professionals preparing for the Certified Kubernetes Security Specialist (CKS) certification. The course content is specifically curated for government agencies and entities requiring rigorous security standards.

Upon completion, attendees will be equipped to implement robust security controls for Kubernetes clusters and containerized applications across all lifecycle phases, including build, deployment, and runtime operations.

This seven-day curriculum offers an extensive, practical exploration of the design, deployment, and operation of cloud-native applications through contemporary DevOps methodologies. It is tailored for government professionals seeking to enhance their technical capabilities.

Attendees will examine scalable microservices architecture design, container environment optimization, and production workload management via Kubernetes. The coursework addresses advanced deployment techniques, GitOps-driven automation, and observability standards to guarantee system stability and performance.

Emphasis is placed on addressing real-world operational complexities, such as incident management, failure injection testing, and root cause analysis. The program concludes with the application of artificial intelligence tools to facilitate troubleshooting and expedite operational decision-making processes.

Upon completion of the training, participants will possess a thorough understanding of how to construct, deploy, monitor, and sustain resilient distributed systems within a Kubernetes framework.

This practical, skills-based curriculum delivers foundational instruction on containers, Kubernetes, and OpenShift. Tailored for developers, DevOps practitioners, and IT specialists, the program equips participants with the competencies required to develop containerized applications, orchestrate workloads, administer Kubernetes resources, and leverage OpenShift to optimize application delivery within cloud and hybrid infrastructure environments for government.

This comprehensive five-day instructional program provides federal personnel with the necessary expertise to construct, implement, and manage containerized infrastructure utilizing Docker, Kubernetes, and OpenShift technologies. The curriculum delivers rigorous, practical instruction on critical domains including container image management, Kubernetes workload orchestration, cluster networking configurations, persistent storage solutions, security protocols, monitoring frameworks, and operational administration of OpenShift environments. By completing this training for government professionals, attendees will acquire the competencies required to sustain contemporary container platforms and effectively diagnose application issues within both development and production workflows.

During this instructor-led live training conducted in US (either onsite or remotely), attendees will acquire the skills necessary to create and administer Docker containers and subsequently deploy a sample application within such an environment. The curriculum also covers the automation, scaling, and management of containerized workloads within a Kubernetes cluster. Furthermore, the instruction addresses advanced subjects, guiding participants through the procedures for securing, expanding capacity, and monitoring Kubernetes infrastructure. This comprehensive approach ensures that personnel are equipped with the technical expertise required for effective government operations and is designed specifically for government use cases.

Upon completion of this course, participants will demonstrate the ability to:

• Configure and operate Docker containers.
• Deploy containerized servers and web-based applications.
• Construct and oversee Docker images.
• Establish a combined Docker and Kubernetes cluster environment.
• Utilize Kubernetes to deploy and manage clustered web applications.
• Implement security measures, scaling protocols, and monitoring systems for a Kubernetes cluster.

This instructor-led, live training in US (online or onsite) is aimed at engineers who wish to use Helm to streamline the process of installing and managing Kubernetes applications.

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

• Install and configure Helm.
• Create reproducible builds of Kubernetes applications.
• Share applications as Helm charts.
• Run third-party applications saved as Helm charts.
• Manage releases of Helm packages.

This instructor-led, live training in US (delivered online or onsite) is designed for developers and data scientists aiming to build, deploy, and manage machine learning workflows on Kubernetes.

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

• Install and configure Kubeflow on-premises and in the cloud.
• Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
• Run entire machine learning pipelines on diverse architectures and cloud environments.
• Using Kubeflow to spawn and manage Jupyter notebooks.
• Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.

This instructor-led, live training session US (delivered online or in person) is designed for software developers and DevOps practitioners with beginner to intermediate proficiency who seek to establish and administer a local Kubernetes environment utilizing Minikube. This curriculum is specifically tailored for government agencies requiring secure and efficient container orchestration capabilities.

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

• Installing and configuring Minikube on local workstations.
• Comprehending the fundamental principles and architectural framework of Kubernetes.
• Deploying and managing containers through kubectl commands and the Minikube dashboard interface.
• Implementing persistent storage and networking configurations for Kubernetes clusters.
• Leveraging Minikube to facilitate application development, testing, and debugging processes.

This instructor-led, live training in US (available online or onsite) is designed for intermediate-level developers and DevOps engineers seeking to incorporate Minikube into their development workflows. This course provides government agencies with essential skills for containerized application management.

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

• Establish and administer a local Kubernetes environment using Minikube.
• Deploy, manage, and troubleshoot applications within the Minikube platform.
• Incorporate Minikube into existing continuous integration and deployment pipelines.
• Enhance development efficiency by leveraging advanced Minikube capabilities.
• Implement industry-standard best practices for local Kubernetes development.