NobleProg provides specialized Containers and Virtual Machines (VMs) training courses across Mississippi, catering to professionals and organizations seeking expert-led instruction. With a focus on accessible and high-quality education, we deliver comprehensive learning solutions tailored to the unique needs of learners in this region.
Whether delivered virtually or at a designated location, instructor-led instruction regarding Containers and Virtual Machines (VMs) utilizes practical exercises to illustrate core principles and sophisticated applications for government entities.
This educational offering is accessible as either remote or on-site instruction. Remote sessions are conducted via an interactive remote desktop environment, while on-site options may be facilitated locally in Mississippi or at NobleProg’s corporate training facilities in Mississippi.
NobleProg -- Your Local Training Provider
Flowood, MS – Regus at Market Street
232 Market Street, Flowood, United States, 39232
The venue is centrally located at Market Street Flowood, just off US‑25/Lakeland Drive and Old Fannin Road, with plentiful free on-site and nearby municipal parking. From Jackson‑Medgar Wiley Evers International Airport (JAN), about 10 miles northwest, a taxi or rideshare takes around 15 minutes via I‑55 North and Lakeland Drive. Public transit is available via JATRAN buses serving Lakeland Drive with stops just steps from the entrance, making it accessible even without a car. The pedestrian-friendly plaza also includes shaded seating and walking paths connecting retail and dining options.
Gulfport, MS
1600 E Beach Blvd, Gulfport, United States, 39501
The venue is conveniently accessible by car via US‑90/Beach Boulevard, with on-site parking available for a daily fee. For those arriving by air, Gulfport–Biloxi International Airport (GPT) is just a short 5-minute drive away, approximately 5 miles via East Beach Boulevard. Public transportation is also an option, with Coast Transit Authority routes serving the area and the Gulfport Amtrak Station located about 0.7 miles from the venue. Rideshare services and local shuttles provide additional convenient transportation options.
Jackson, MS - Regus at East Capitol Street
317 East Capitol Street, Jackson, United States, 39201
The venue is conveniently accessible by car via I‑55 and I‑20, with public parking options available near the Capitol area. For those using public transportation, several Capital Area Transit System (CATS) bus lines stop along East Capitol Street, providing easy access to the venue. Travelers arriving at Jackson–Medgar Wiley Evers International Airport (JAN) can reach the location in approximately 15 minutes by car, taking I‑55 North and East Capitol Street for a quick 10-mile drive.
Edge computing architectures prioritize executing machine learning inference near the origin of data streams to ensure minimal latency, operational efficiency, and scalable processing capabilities.
This faculty-led instructional program, available in online or onsite formats, targets intermediate to advanced professionals seeking to deploy, orchestrate, and optimize artificial intelligence workloads within Kubernetes-enabled edge environments for government applications.
Upon successful completion of this curriculum, participants will be equipped to:
Configure lightweight Kubernetes distributions suitable for edge infrastructure deployments.
Effectively implement AI inference workloads across resource-constrained edge nodes.
Address connectivity limitations and manage synchronization protocols.
Enhance performance metrics, storage utilization, and network configurations for real-world edge operations.
Course Structure
Instructor-guided presentations integrated with practical case studies.
Scenario-based laboratory exercises and hands-on edge deployment trials.
Direct engagement with Kubernetes edge framework technologies.
Training Adaptability
For organizations requiring a customized curriculum aligned with specific edge platform requirements, please contact our team to arrange appropriate accommodations.
Kubernetes serves as a widely adopted container orchestration framework for the management of distributed applications in large-scale environments.
This instructor-led live training, available online or onsite, is designed for advanced practitioners seeking to leverage artificial intelligence and machine learning methodologies to enhance Kubernetes resource utilization, scheduling logic, and autoscaling protocols.
Upon successful completion of this program, participants will be equipped to:
Deploy AI/ML models to refine workload scheduling outcomes within Kubernetes clusters.
Utilize predictive analytics to optimize the allocation of CPU, GPU, and memory resources for government systems.
MLOps on Kubernetes provides a structured framework for automating the training, validation, packaging, and deployment of machine learning models through containerized pipelines and GitOps methodologies. This approach supports efficient operational workflows for government data science initiatives.
This instructor-led, live training (available online or onsite) is designed for intermediate-level practitioners seeking to establish automated and scalable MLOps pipelines on Kubernetes infrastructure. The curriculum addresses specific requirements for government systems.
Upon completion of this training, participants will be equipped to:
Architect end-to-end continuous integration and delivery (CI/CD) pipelines for machine learning applications.
Implement GitOps workflows to manage model deployment and version control.
Automate the training, testing, and packaging processes for ML models.
Integrate comprehensive monitoring, alerting mechanisms, and rollback strategies.
Format of the Course
Instructor-guided presentations and technical deep dives.
Hands-on exercises that build real-world CI/CD workflows.
Live-lab practice deploying ML workloads to Kubernetes.
Course Customization Options
Organizations may request tailored content aligned with their internal MLOps tools and infrastructure.
Kubeflow serves as an open-source framework intended to optimize the construction, execution, and deployment of machine learning operations within Kubernetes environments.
This facilitated live instruction, available via remote or on-location delivery, targets professionals with introductory to intermediate expertise who seek to establish dependable machine learning pipelines utilizing Kubeflow tools.
Upon concluding this program, participants will acquire the capability to:
Traverse the Kubeflow environment and its fundamental elements.
Develop consistent workflows using Kubeflow Pipelines.
Execute scalable training tasks on Kubernetes infrastructure.
Deploy machine learning models efficiently through Kubeflow Serving.
Course Format
Structured presentations combined with collaborative dialogue.
Practical laboratory sessions utilizing active Kubeflow components.
Applied exercises for constructing complete machine learning workflows.
Customization Options
Tailored iterations of this training are available to ensure alignment with an organization’s specific technology infrastructure and operational mandates, particularly for government entities requiring specialized compliance or integration standards.
Continuous Integration and Continuous Delivery for artificial intelligence represents a systematic methodology for automating the packaging, validation, containerization, and deployment of models through established CI/CD pipelines.
This instructor-led program, available in online or onsite formats, targets intermediate professionals seeking to automate end-to-end AI model delivery processes utilizing Docker and CI/CD platforms.
Upon completion of this training, participants will demonstrate the ability to:
Develop automated pipelines for the construction and testing of AI model containers.
Establish version control mechanisms to ensure reproducibility throughout the model lifecycle.
Incorporate automated deployment strategies for artificial intelligence services.
Apply CI/CD best practices specifically adapted for machine learning operations.
Course Format
Instructor-guided presentations and technical discussions.
Practical laboratories and hands-on implementation exercises.
Realistic CI/CD workflow simulations conducted in a controlled environment.
Customization Options
For government entities requiring customized pipeline workflows or specific platform integrations, please contact us to tailor this course.
This facilitated, real-time instructional program, offered in Mississippi via virtual or physical delivery methods, targets senior-level Kubernetes administrators and DevOps practitioners seeking to augment their observability capabilities for Kubernetes infrastructure utilizing Prometheus and Grafana.
Upon completion of this curriculum, learners will demonstrate proficiency in the following areas:
Deploying and configuring Prometheus and Grafana for Kubernetes environment monitoring.
Tracking essential performance indicators across pods, nodes, and services.
Developing interactive dashboards to visualize system health and operational metrics.
Establishing alerting protocols to enable proactive incident management.
Executing established best practices for expanding monitoring architectures within Kubernetes deployments, tailored specifically for government operations.
The deployment of hybrid artificial intelligence involves executing inference processes across cloud, on-premises, and edge infrastructures through standardized containerized workflows.
This instructor-led training session, available in online or onsite formats, targets advanced professionals seeking to architect and implement distributed AI inference systems within heterogeneous environments. The curriculum emphasizes operational frameworks for government
Upon successful completion of this program, participants will demonstrate the ability to:
Establish secure and scalable containerized AI services for multi-site deployments.
Execute AI inference workloads across cloud platforms, local servers, and edge devices utilizing Docker technology.
Implement orchestration tools to automate distributed AI operational processes.
Enhance inference latency, reliability, and resilience across diverse infrastructure components.
Training Format
Structured presentations facilitated by subject matter experts.
Comprehensive hands-on labs and applied practical exercises.
Real-world application within a controlled live-lab environment.
Customization Capabilities
For tailored modifications to align this curriculum with specific organizational infrastructure or use cases, please contact the training provider to arrange customization.
Kubernetes is an open-source system designed to automate the deployment, scaling, and management of applications within containerized environments.
This instructor-led live training, available via online or onsite delivery, targets beginner to intermediate IT professionals seeking to master core Kubernetes concepts and leverage its capabilities for large-scale container management. This program is specifically designed for government agencies and entities looking to enhance their cloud infrastructure governance.
Upon completion of this training, participants will be equipped to:
Analyze Kubernetes architecture and its fundamental components.
Deploy and oversee containers within a Kubernetes cluster.
Configure networking protocols, storage solutions, and scaling mechanisms for various workloads.
Diagnose common operational issues and adhere to best practices for cluster maintenance.
Course Format
Interactive lectures and group discussions.
Extensive exercises and practical application.
Hands-on implementation within a live laboratory environment.
Customization Opportunities
To request specialized training tailored to specific agency requirements, please contact our support team to arrange a session.
This instructor-led, live training delivered in Mississippi (via remote session or at your facility) is designed for DevOps engineers and software developers seeking to leverage Kubernetes to construct, deploy, and administer containers and cluster components within a secure and scalable framework. This curriculum is specifically tailored for government agencies and professionals requiring robust cloud-native capabilities.
Upon completion of this training, participants will be equipped to:
Analyze the architecture, fundamental principles, and constituent elements of the Kubernetes ecosystem.
Establish, install, and configure a Kubernetes cluster to facilitate container orchestration.
Execute Kubernetes operational tasks using command-line utilities.
Gain practical experience performing basic to advanced Kubernetes operations and administration.
Docker serves as a containerization framework designed to establish portable, isolated, and secure deployment environments for artificial intelligence inference services.
This instructor-led, live training session (available online or onsite) targets beginner to intermediate technical professionals seeking to develop secure, portable AI inference microservices that can be consistently deployed across local workstations, servers, or cloud virtual machines. This curriculum is structured specifically for government applications.
Upon completion of this workshop, participants will demonstrate the ability to:
Create lightweight inference containers suitable for local and cloud deployment.
Apply best-practice security protocols to protect containerized AI services.
Execute portable microservice workflows to ensure environmental consistency.
Deploy AI inference endpoints across heterogeneous infrastructure environments.
Course Format
Guided instruction integrated with practical demonstrations.
Hands-on exercises designed to reinforce deployment and security methodologies.
Live laboratory practice for constructing and operating portable inference services.
Customization Options
To adapt this training to your specific infrastructure or AI tooling requirements, please contact us to arrange custom provisions.
This instructor-led live training, offered in Mississippi via onsite or remote delivery, provides participants with the skills to deploy sample servers within containers and automate their scaling and management within a Kubernetes environment. The curriculum further addresses advanced operational requirements, guiding attendees through essential processes for securing, networking, and monitoring a Kubernetes cluster. This program is designed for government audiences requiring robust infrastructure management capabilities.
Upon completion of this training, participants will be able to:
Establish and operate Docker containers.
Deploy containerized databases and server applications.
Configure integrated Docker and Kubernetes clusters.
Leverage Kubernetes to orchestrate multiple environments within a single cluster.
Implement security protocols, scaling strategies, and monitoring systems for Kubernetes clusters.
Graphical processing unit acceleration is critical for executing high-performance deep learning tasks in a scalable and resource-efficient framework.
This instructor-led, live training program (delivered online or on-site) is designed for intermediate-level technical specialists intending to configure, optimize, and operate GPU-enabled artificial intelligence workloads within Docker container environments.
Upon completion of this course, participants will demonstrate the ability to:
Construct and execute containers with graphical processing capabilities for both training and inference phases.
Configure CUDA, drivers, and runtime libraries to support containerized artificial intelligence workflows for government applications.
Optimize resource allocation and isolation strategies for applications with intensive graphical processing requirements.
Deploy scalable, containerized deep learning services suitable for production environments.
Course Delivery Methodology
Interactive instruction reinforced by practical, real-world demonstrations.
Exercise-based practical sessions centered on graphical processing unit-enabled development.
Direct implementation activities conducted within a live laboratory environment.
Customization Options for the Course
For training specifically aligned with your infrastructure or graphical processing stack, please contact our office for coordination.
This instructor-led, live training session in Mississippi (available via online or onsite delivery) is designed for intermediate-level professionals seeking to effectively deploy, manage, and scale containerized applications utilizing Kubernetes. This program is developed specifically for government audiences.
Upon completion of this course, participants will be able to:
Comprehend the Kubernetes architecture and its constituent components.
Effectively isolate resources by employing Namespaces.
Administer and customize workloads utilizing Deployments, StatefulSets, and DaemonSets.
Define computational resource requirements through Requests and Limits.
Execute Jobs and CronJobs to manage scheduled tasks.
Understand the functionality of Services and DNS within the Kubernetes environment.
Expose applications via Ingress resources.
Administer ConfigMaps, Secrets, and Persistent Volumes.
Scale and upgrade Kubernetes clusters utilizing advanced strategies.
Analyze and troubleshoot operational issues within Kubernetes.
Deploy resources efficiently through the use of Helm Charts.
This instructor-led, live training in Mississippi (online or onsite) is designed for intermediate to advanced developers, DevOps engineers, and architects who seek to design, deploy, and manage resilient applications using microservices, containers, and continuous integration/continuous deployment (CI/CD) pipelines. This program provides essential technical capabilities for government IT modernization efforts.
Upon completion of this training, participants will be able to:
Understand and implement microservices architecture.
Deploy and manage containerized applications with Docker and Kubernetes.
Set up and optimize CI/CD pipelines for automated deployments.
Apply best practices for security, monitoring, and observability.
This instructor-led, live training in Mississippi (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.
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.
Docker serves as a containerization platform for establishing reproducible, portable, and scalable environments for ML systems.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced technical professionals seeking to containerize and operationalize end-to-end ML pipelines using Docker.
Upon successful completion of this training, participants will be able to:
Containerize ML training, validation, and inference workloads.
Design and orchestrate comprehensive ML pipelines using Docker and complementary tools.
Implement versioning, reproducibility, and CI/CD protocols for ML components.
Deploy, monitor, and scale ML services within containerized environments.
Instructional Format
Interactive lectures accompanied by practical demonstrations.
Hands-on exercises dedicated to constructing functional ML pipeline components.
Live-lab implementation for end-to-end containerized workflows.
Customization Options
For training tailored to specific ML infrastructure requirements, please contact our office to discuss available options.
Docker serves as a containerization platform that facilitates consistent, portable, and reproducible operational environments for artificial intelligence and machine learning tasks.
This instructor-led, live training program (available online or onsite) is designed for intermediate-level professionals seeking to standardize the packaging of machine learning codebases, dependencies, and models using Docker for reliable development-to-production workflows.
Upon completion of this course, participants will be equipped to:
Construct and maintain Docker images specifically tailored for artificial intelligence and machine learning applications.
Standardize machine learning pipelines, tools, and dependencies through containerization.
Enhance Docker environments to optimize performance and ensure portability.
Deploy containerized machine learning services across diverse runtime environments.
Course Delivery Method
Conceptual demonstrations accompanied by structured professional discussion.
This instructor-led, live training in Mississippi (online or onsite) is aimed at beginner-level developers who wish to learn the basics of Kubefirst and how it simplifies, secures, and accelerates Kubernetes and Swarm cluster management at enterprise scale.
By the end of this training, participants will be able to:
Set up a Kubefirst development environment.
Write and run a basic Kubefirst program.
Annotate code with Kubefirst directives and clauses.
Use Kubefirst API and libraries.
Profile and debug Kubefirst programs.
This curriculum is designed for government audiences seeking to enhance their capabilities in container orchestration management.
This instructor-led, live training in Mississippi (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.
This instructor-led, live training in Mississippi (online or onsite) is designed for intermediate-level developers and DevOps engineers who intend to build, deploy, and manage microservices utilizing Spring Cloud and Docker. This program provides essential knowledge for government applications.
Upon completion of this training, participants will be capable of:
Creating microservices with Spring Boot and Spring Cloud.
Containerizing applications using Docker and Docker Compose.
Configuring service discovery, API gateways, and inter-service communication.
Monitoring and securing microservices within production environments.
Deploying and orchestrating microservices via Kubernetes.
This instructor-led, live training session Mississippi (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.
During this instructor-led live training conducted in Mississippi (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.
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
This instructor-led live training, available Mississippi either online or onsite, provides participants with the knowledge to establish and oversee production-grade container ecosystems utilizing Kubernetes on Azure Kubernetes Service (AKS).
Upon completion of this course, attendees will be equipped to:
Configure and administer Kubernetes environments on AKS.
Deploy, operate, and scale Kubernetes clusters effectively.
Deploy Docker-based applications within the Azure ecosystem.
Facilitate the migration of on-premises Kubernetes infrastructure to the AKS cloud platform.
Integrate Kubernetes with external continuous integration (CI) tools.
Establish high availability and disaster recovery protocols for Kubernetes deployments.
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.
This instructor-led training, available via online or onsite delivery, is designed for engineers seeking to automate, secure, and monitor containerized applications within large-scale Kubernetes environments.
Upon completion of this program, participants will be equipped to:
Utilize Kubernetes to deploy and manage multiple environments within a single cluster
Implement security measures, scaling protocols, and monitoring systems for Kubernetes clusters
Course Structure
Interactive lectures coupled with facilitated discussions
Extensive practical exercises and application-based learning
Direct implementation experience in a live laboratory setting
Customization Opportunities
Organizations requiring tailored training solutions for government or other sectors may contact our team to arrange specific adjustments.
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.
The Mississippi offering equips attendees with foundational knowledge of Rancher and facilitates practical experience in deploying and administering Kubernetes clusters. This program is designed specifically for government audiences seeking to implement robust infrastructure management solutions for government use cases.
Istio is an open-source service mesh solution that operates on Kubernetes to facilitate secure, observable, and manageable connectivity between microservices. By utilizing Istio’s Envoy-based sidecar proxies, organizations can enforce policy controls, ensure secure communications via mutual TLS (mTLS), achieve comprehensive traffic observability, and enhance reliability at scale.
This instructor-led, live training, available in online or onsite formats, is designed for intermediate-level engineers who intend to deploy, secure, and manage microservices applications using Istio on Kubernetes. The curriculum aligns with best practices for government infrastructure, providing essential knowledge for critical system management.
Upon completion of this training, participants will be able to:
Install and configure Istio within Kubernetes clusters.
Understand and apply service mesh concepts, including traffic management, security, and observability.
Deploy microservices applications within an Istio service mesh environment.
Secure service-to-service communications using mutual TLS (mTLS) and Zero Trust principles.
Monitor, trace, and troubleshoot microservices using Prometheus, Grafana, and Jaeger.
Integrate Istio with Calico to implement advanced network policies and security measures.
Format of the Course
Interactive lecture and discussion.
Frequent exercises and practical application.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
The rapid advancement of microservices and containerization technologies has fundamentally altered the lifecycle of software engineering, encompassing design, development, deployment, and execution. Contemporary systems demand optimization for scalability, elasticity, resilience, and adaptability. In response to these evolving operational requirements, modern architectural frameworks necessitate distinct patterns and methodologies. This instructional session evaluates strategies to recognize, comprehend, and implement adjustments aligned with these contemporary infrastructure demands for government and enterprise environments.
Audience
This curriculum is designed for professionals who possess foundational knowledge of container technologies and Kubernetes principles but seek to bridge the gap between theoretical understanding and practical application. Drawing upon documented use cases and operational lessons derived from extensive project implementations, this course aims to equip participants with the competencies necessary to develop and manage robust cloud-native systems effectively.
Software Developers
System Operations Specialists
DevOps Engineers
Quality Assurance Analysts
IT Project Managers
Course Format
Interactive lectures and structured discussion
Comprehensive hands-on exercises and practice sessions
Practical implementation within a live laboratory environment
Customization Options
To arrange specialized training tailored to specific organizational requirements, please contact the administrative office.
This instructor-led, live training in Mississippi (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.
This instructor-led, live training delivered in Mississippi (online or onsite) is designed for DevOps engineers seeking to leverage Kubernetes and Gitlab to automate the DevOps lifecycle. This curriculum is developed for government agencies and professionals who require robust, scalable solutions.
Upon completion of this program, participants will be equipped to:
Streamline application builds, testing protocols, and deployment processes.
Establish an automated infrastructure for continuous integration and delivery.
Execute application deployments within containerized cloud environments.
This guided educational program in Mississippi (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 instructor-led, live training in Mississippi (online or onsite) is designed for developers and DevOps engineers seeking to implement a serverless strategy for enterprise applications within Kubernetes environments. This program provides essential knowledge for government systems that require scalable, secure, and efficient infrastructure solutions for government operations.
Upon completion of this training, participants will be able to:
Configure the Kubernetes environment to facilitate development using a serverless architecture.
Grasp the core concepts and principles governing serverless computing.
Manage the toolchains required for serverless development and integrate them with Kubernetes components.
Apply Python programming skills to implement serverless systems effectively.
Secure enterprise applications deployed via a serverless framework on Kubernetes.
Employ modern cloud computing methods to optimize DevOps task processing workflows.
This instructor-led, live training in Mississippi (online or onsite) is aimed at engineers who wish to secure a Kubernetes cluster beyond the default security settings.
By the end of this training, participants will be able to:
Understand the vulnerabilities that are exposed by a default Kubernetes installation.
Prevent unauthenticated access to the Kubernetes API, database, and other services.
Protect a Kubernetes cluster from accidental or malicious access.
Put together a comprehensive security policy and set of best practices.
This instructor-led, live training session, available via Mississippi (online or onsite), is designed for engineering professionals seeking to expand their expertise in Docker. The program focuses on deploying applications at scale while ensuring strict operational control.
Upon completion of this coursework, participants will be equipped to:
Create custom Docker images.
Deploy and manage a high volume of Docker-based applications.
Assess various container orchestration platforms and select the optimal solution for their environment.
Establish continuous integration workflows specifically for Docker deployments.
Integrate Docker solutions with existing continuous integration frameworks, providing robust tools for government agencies.
Implement security best practices to protect Docker applications.
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.
Docker provides an open-source framework designed to automate the construction, distribution, and execution of applications within containerized environments.
This instructor-led live training, available online or on-site, is intended for engineering personnel seeking to utilize Docker for deploying and managing software as containers rather than relying on conventional standalone architectures. The program supports federal workforce development for government entities and their contractors.
Upon completion of this curriculum, participants will be equipped to:
Install and configure the Docker platform.
Comprehend and apply software containerization principles.
Administer applications built on Docker technology.
Establish network connectivity among Dockerized applications and systems.
Navigate and modify Docker registries.
Course Structure
Incorporates interactive lectures and policy-aligned discussions.
Features extensive exercises and practical application.
Provides hands-on implementation within a secure live-lab environment.
Customization Availability
To request a tailored training module for this course, please contact the administration to arrange logistics.
For additional information regarding Docker capabilities, visit: https://www.docker.com
This instructor-led, live training in Mississippi (online or onsite) is designed for intermediate to advanced DevOps engineers and system administrators seeking to deploy and manage self-hosted Kubernetes clusters independent of cloud providers. This program supports professionals developing capabilities for government environments by emphasizing on-premises infrastructure management.
Upon completion of this course, participants will be equipped to: deploy production-grade Kubernetes clusters using kubeadm on bare-metal or virtual machine infrastructures; configure high-availability control planes and etcd datastores; implement container networking and storage solutions for self-managed environments; and establish monitoring and observability frameworks utilizing self-hosted tools.
This instructor-led, hands-on training session in Mississippi provides a comprehensive overview of developing microservices architectures via Spring Cloud and Docker. The curriculum blends theoretical concepts with practical application, requiring participants to demonstrate competency through guided exercises and the sequential creation of sample microservice components.
Upon completion of this program, attendees will be equipped to:
Demonstrate a foundational understanding of microservices principles.
Utilize Docker to construct containers for microservice-based applications.
Develop and deploy containerized microservices utilizing Spring Cloud and Docker technologies.
Implement integrations between microservices, discovery mechanisms, and the Spring Cloud API Gateway.
Conduct end-to-end integration testing through the use of Docker Compose.
Red Hat OpenShift serves as a premier Kubernetes platform designed for the deployment and management of containerized applications across cloud, hybrid, and on-premises infrastructures, providing robust support for federal IT modernization efforts.
This instructional course equips participants with the technical proficiency required to install, administer, and troubleshoot OpenShift clusters, while adhering to established security, networking, and storage standards. Through practical exercises, attendees develop the competencies necessary to manage production-grade environments that meet the rigorous operational and accountability requirements for government.
The Red Hat OpenShift Administration II: Configuring a Production Cluster (DO280) training program equips OpenShift Cluster Administrators with the expertise required to manage daily operational tasks for clusters supporting applications from internal development groups and external providers. The curriculum emphasizes enabling self-service capabilities for users with varied roles, as well as deploying applications requiring specific privileges, such as CI/CD systems, performance monitoring tools, and security scanners. This course addresses the configuration of multi-tenancy and security frameworks within OpenShift, along with the management of operator-based add-ons, providing essential knowledge for government infrastructure management.
This curriculum provides instruction on the development, deployment, and administration of containerized applications utilizing OpenShift, a prominent Kubernetes-based platform designed for cloud-native engineering. The comprehensive training addresses critical operational areas including application deployment, container management, networking infrastructure, CI/CD pipelines, and DevOps methodologies, equipping participants with the requisite competencies to construct and sustain modern applications within production settings tailored for government.
This in-depth technical course is designed to provide participants with the advanced skills needed to manage Proxmox VE-based virtualized infrastructure, focusing on storage, backup, high availability, security, and monitoring. Through theoretical lessons and numerous practical exercises, participants will learn how to:
Manage local and remote storage, leveraging ZFS for advanced features and integrating Ceph for distributed storage scenarios.
Implement backup and disaster recovery strategies using snapshots, replication, restore, and Proxmox Backup Server.
Design and administer high-availability clusters, enabling live VM migration and load balancing.
Apply best practices for security reinforcement, configure firewalls, and protect VMs and containers.
Monitor performance and logs with integrable tools like Zabbix, Prometheus, and Grafana, for comprehensive visibility into the infrastructure.
Develop real-world use cases in academic and corporate settings, including DevOps environments, production service hosting, and HPC clusters.
The course is highly practical and operational, with hands-on sessions guiding participants from initial configuration to failover scenario simulation.
This instructor-led, live training provided via Mississippi (online or onsite) is designed for intermediate-level virtualization administrators seeking to transition from VMware using open-source platforms. This program is specifically tailored for government
Upon completion of this training, participants will be capable of:
Installing and configuring KVM, oVirt, and Proxmox VE.
Migrating virtual workloads from VMware environments.
Implementing high availability and disaster recovery solutions.
Optimizing performance within open-source virtualization ecosystems.
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Testimonials (6)
CI/CD Best Practices (gitflow and gitops), Application strategies, idempotency and drift, remote state management, Pod Disruption Budgets and Best Practices
McKayla Fusco - NSWC Dahlgren Division - DNA
Course - Resilient Architecture: Microservices, Containers, and CI/CD
basic understanding of container/kubernetes and how they interact
features of the openshift plattform
Eric Scholze - NOW IT GmbH
Course - Introduction to Containers, Kubernetes & OpenShift
Training being interactive. He engaged us a lot by asking questions and imaginary use cases. He shifted away from his agenda to explain more of the things we are demanded.
Berk Ozdilek - Deutsche Bank
Course - Kubernetes Advanced
About the microservices and how to maintenance kubernetes
Yufri Isnaini Rochmat Maulana - Bank Indonesia
Course - Advanced Platform Engineering: Scaling with Microservices and Kubernetes
The training met expectations with its clear explanations, real-world examples, and hands-on labs that made complex topics easy to understand. It provided valuable insights into container orchestration, security, scaling and many other advanced topics.
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