Containers and Virtual Machines (VMs) Training in Belo Horizonte

Edge AI represents a paradigm focused on executing machine learning inference close to data sources to achieve low-latency, efficient, and scalable processing.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced practitioners looking to deploy, orchestrate, and optimize AI workloads within Kubernetes-based edge environments.

Upon completing this course, participants will be able to:

• Establish lightweight Kubernetes distributions suitable for edge deployments.
• Effectively deploy AI inference workloads across resource-constrained edge nodes.
• Address connectivity challenges and implement synchronization patterns.
• Optimize performance, storage, and networking tailored to real-world edge scenarios.

Course Format

• Guided presentations backed by real-world examples.
• Scenario-based labs and practical edge deployment exercises.
• Hands-on experience working with Kubernetes edge frameworks.

Customization Options

• For customized training tailored to your specific edge platform requirements, please contact us to arrange.

Kubernetes is a widely adopted container orchestration platform for managing distributed applications at scale.

This instructor-led live training, available online or on-site, targets advanced practitioners seeking to leverage AI and machine learning techniques to optimize Kubernetes resource usage, scheduling decisions, and autoscaling strategies.

Upon completing this program, participants will be able to:

• Apply AI/ML models to enhance workload scheduling decisions in Kubernetes.
• Utilize predictive analytics to optimize CPU, GPU, and memory allocation.
• Implement intelligent autoscaling using reinforcement learning and metric forecasting.
• Reduce infrastructure costs and latency through automated resource optimization.

Format of the Course

• Instructor-guided technical presentations and in-depth discussions.
• Hands-on lab work with real Kubernetes clusters.
• Practical exercises applying AI models to real operational scenarios.

Course Customization Options

• To tailor this course to your platform setup or operational requirements, please contact us for customization.

MLOps on Kubernetes is a framework designed to automate the training, validation, packaging, and deployment of machine learning models through containerized pipelines and GitOps workflows.

This instructor-led, live training (available online or on-site) is targeted at intermediate-level practitioners looking to build automated, scalable MLOps pipelines on Kubernetes.

Upon completing this training, participants will be able to:

• Design end-to-end CI/CD pipelines for machine learning.
• Implement GitOps workflows for model deployment and versioning.
• Automate the training, testing, and packaging of ML models.
• Integrate monitoring, alerting, and rollback strategies.

Course Format

• 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 is an open-source platform designed to streamline building, training, and deploying machine learning workloads on Kubernetes.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to build reliable ML workflows using Kubeflow.

Upon completion of this training, attendees will gain the skills to:

• Navigate the Kubeflow ecosystem and core components.
• Build reproducible workflows with Kubeflow Pipelines.
• Run scalable training jobs on Kubernetes.
• Serve machine learning models efficiently using Kubeflow Serving.

Format of the Course

• Guided presentations and collaborative discussions.
• Hands-on labs with real Kubeflow components.
• Practical exercises to build end-to-end ML workflows.

Course Customization Options

• Customized versions of this training can be arranged to align with your team’s technology stack and project requirements.

CI/CD for AI represents a structured methodology for automating the packaging, testing, containerization, and deployment of AI models through continuous integration and delivery pipelines.

This instructor-led live training, available online or onsite, is designed for intermediate-level professionals seeking to automate end-to-end AI model delivery workflows using Docker alongside CI/CD platforms.

Upon completion of the training, participants will be equipped to:

• Develop automated pipelines for constructing and testing AI model containers.
• Establish version control and ensure reproducibility throughout the model lifecycle.
• Incorporate automated deployment strategies for AI services.
• Apply CI/CD best practices specifically adapted for machine learning operations.

Course Format

• Instructor-led presentations accompanied by technical discussions.
• Practical labs and hands-on implementation exercises.
• Realistic CI/CD workflow simulations conducted in a controlled environment.

Course Customization Options

• Should your organization require customized pipeline workflows or specific platform integrations, please reach out to us to tailor this course to your needs.

This instructor-led live training in Belo Horizonte (online or onsite) is designed for advanced-level Kubernetes administrators and DevOps engineers who aim to enhance their monitoring skills for Kubernetes clusters using Prometheus and Grafana.

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

• Set up Prometheus and Grafana for Kubernetes monitoring.
• Monitor key metrics for pods, nodes, and services.
• Create dynamic dashboards to visualize cluster health and performance.
• Implement alerting strategies for proactive issue resolution.
• Apply best practices for scaling monitoring solutions in Kubernetes environments.

Kubernetes is an open-source platform designed to automate the deployment, scaling, and management of containerized applications.

This instructor-led, live training (available online or on-site) targets beginner to intermediate-level IT professionals who wish to learn the core concepts and components of Kubernetes and use it to manage containerized applications at scale.

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

• Understand Kubernetes architecture and components.
• Deploy and manage containers in a Kubernetes cluster.
• Configure networking, storage, and scaling for workloads.
• Troubleshoot common issues and follow best practices for cluster operations.

Format of the Course

• Interactive lecture and discussion.
• 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.

This live, instructor-led training in Belo Horizonte (online or onsite) is designed for DevOps engineers and developers who aim to use Kubernetes to build, deploy, and manage containers and cluster components in a secure and scalable environment.

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

• Understand the architecture, core concepts, and components of a Kubernetes ecosystem.
• Set up, install, and configure a Kubernetes cluster for container orchestration.
• Learn how to execute Kubernetes operations using the command line tools.
• Get a hands-on experience from basic to advanced Kubernetes operations and administration.

In this instructor-led live training in Belo Horizonte (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.

This instructor-led, live training in Belo Horizonte (online or onsite) is aimed at intermediate-level professionals who wish to effectively deploy, manage, and scale containerized applications using Kubernetes.

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

• Understand the Kubernetes architecture and its components.
• Isolate resources effectively using Namespaces.
• Manage and customize workloads with Deployments, StatefulSets, and DaemonSets.
• Define computational resources using Requests and Limits.
• Work with Jobs and CronJobs for scheduled tasks.
• Understand Services and DNS within Kubernetes.
• Expose applications using Ingress.
• Manage ConfigMaps, Secrets, and Persistent Volumes.
• Scale and upgrade Kubernetes clusters using advanced strategies.
• Analyze and troubleshoot Kubernetes issues.
• Deploy resources efficiently using Helm Charts.

This instructor-led live training in Belo Horizonte (online or onsite) is aimed at intermediate to advanced developers, DevOps professionals, and architects who wish to design, deploy, and manage resilient applications using microservices, containers, and continuous integration/continuous deployment (CI/CD) pipelines.

By the end 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 Belo Horizonte (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications using microservices and Kubernetes.

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

• Design and implement scalable microservices architectures.
• Deploy and manage applications on Kubernetes clusters.
• Utilize Helm charts for efficient service deployment.
• Monitor and maintain the health of microservices in production.
• Apply best practices for security and compliance in a Kubernetes environment.

DO180 serves as an entry point into the world of containers, Kubernetes basics, and Red Hat OpenShift concepts, emphasizing practical, hands-on experience.

This instructor-led, live training (available online or on-site) is designed for technical professionals at beginner to intermediate levels who aim to master container workflows, understand Kubernetes primitives, and learn how to deploy and manage applications on OpenShift.

Upon completing this training, participants will be able to:

• Construct and manage container images and registries, adhering to best practices for security and reproducibility.
• Deploy and administer Kubernetes resources, such as pods, deployments, and services, within an OpenShift environment.
• Leverage OpenShift capabilities, including routes, build configurations, and the web console, to accelerate application delivery.
• Set up persistent storage, manage configurations, and handle secrets for stateful workloads.
• Apply fundamental security measures, Role-Based Access Control (RBAC), and monitoring techniques to ensure cluster and application health.

Course Format

• Interactive lectures and discussions.
• Daily hands-on labs conducted in a live OpenShift environment.
• Exercises and troubleshooting workshops driven by real-world scenarios.

Customization Options

• To arrange a customized training session for this course, please get in touch with us.

Docker serves as a containerization platform designed to build reproducible, portable, and scalable environments for machine learning systems.

This instructor-led live training, available either online or on-site, targets intermediate to advanced technical professionals looking to containerize and operationalize complete ML pipelines using Docker.

Upon completing 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 CI/CD practices for ML components.
• Deploy, monitor, and scale ML services within containerized environments.

Course Format

• Interactive lectures supported by practical demonstrations.
• Hands-on exercises focused on constructing real-world ML pipeline components.
• Live lab implementation for end-to-end containerized workflows.

Customization Options

• For training tailored to specific ML infrastructure requirements, please contact us to discuss available options.

Docker serves as a containerization platform that facilitates consistent, portable, and reproducible environments for artificial intelligence and machine learning workloads.

This instructor-led live training, available online or onsite, targets intermediate professionals aiming to package ML codebases, dependencies, and models using Docker to establish reliable development-to-production workflows.

Upon completing this course, participants will be able to:

• Create and manage Docker images specifically designed for AI and ML applications.
• Containerize machine learning pipelines, tools, and dependencies.
• Optimize Docker environments for improved performance and portability.
• Deploy containerized ML services across various runtime environments.

Course Format

• Concept demonstrations supported by guided discussions.
• Hands-on exercises centered on real-world containerization tasks.
• Practical implementation using live-lab Docker environments.

Customization Options

• To tailor this training to your organization's specific environment, please contact us to make arrangements.

This instructor-led, live training in Belo Horizonte (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 instructor-led, live training in Belo Horizonte (online or onsite) is designed for intermediate-level developers and DevOps engineers aiming to use Minikube as part of their development workflow.

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

• Set up and manage a local Kubernetes environment using Minikube.
• Understand how to deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines.
• Optimize their development process using Minikube's advanced features.
• Apply best practices for local Kubernetes development.

This instructor-led, live training in Belo Horizonte (online or onsite) is designed for beginner to intermediate-level developers, system administrators, and DevOps engineers seeking to master Kubernetes and cloud-native principles.

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

• Establishing a development environment integrated with Kubernetes.
• Building microservices applications using Kubernetes.
• Deploying, managing, and scaling applications within Kubernetes.
• Troubleshooting common issues in Kubernetes environments.

This instructor-led, live training in Belo Horizonte (online or on-site) is targeted at beginner to intermediate software developers and DevOps professionals who want to learn how to set up and manage a local Kubernetes environment using Minikube.

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

• Install and configure Minikube on their local machine.
• Grasp the fundamental concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Set up persistent storage and networking solutions for Kubernetes.
• Utilize Minikube for developing, testing, and debugging applications.

This instructor-led, live training in Belo Horizonte (online or onsite) is aimed at developers or anyone who wishes to learn how to use Skupper to create secure communication within a hybrid multi-cloud environment.

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

• Learn and understand the fundamentals of Skupper.
• Setup and configure Skupper in multiple namespaces.
• Configure Skupper security and allow multi-cloud communication for applications.

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

This instructor-led live training, located in Belo Horizonte (onsite or remote), will teach participants how to create and manage Docker containers and deploy a sample application within one. Participants will also learn to automate, scale, and manage their containerized applications inside a Kubernetes cluster. Furthermore, the training covers advanced topics, guiding 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.

The Certified Kubernetes Administrator (CKA) program was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).

Kubernetes has emerged as a leading platform for container orchestration.

NobleProg has been delivering Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognized training providers globally in the field of containerization.

Since 2019, we have also been helping our customers validate their performance in Kubernetes environments by preparing them and encouraging them to 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.

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

Course Format

• Interactive lectures and discussions.
• 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 it.
• To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

In this instructor-led live training in Belo Horizonte (online or on-site), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.

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

• Configure and manage Kubernetes on AKS.
• Deploy, manage and scale a Kubernetes cluster.
• Deploy containerized (Docker) applications on Azure.
• Migrate an existing Kubernetes environment from on-premise to AKS cloud.
• Integrate Kubernetes with third-party continuous integration (CI) software.
• Ensure high availability and disaster recovery in Kubernetes.

In this instructor-led, live training in Belo Horizonte, participants will learn how to manage Red Hat OpenShift Container Platform.

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

• Create, configure, manage, and troubleshoot OpenShift clusters.
• Deploy containerized applications on-premises, in public clouds, or on hosted cloud environments.
• Secure OpenShift Container Platform
• Monitor the platform and gather metrics.
• Manage storage.

This instructor-led live training, available either online or onsite, is designed for engineers who want to automate, secure, and monitor containerized applications within large-scale Kubernetes clusters.

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

• Utilize Kubernetes to deploy and manage diverse environments within a single cluster
• Secure, scale, and monitor a Kubernetes cluster

Course Format

• Interactive lectures and discussions
• Extensive exercises and practical practice
• Hands-on implementation in a live lab environment

Customization Options

• To request a customized training session for this course, please contact us to arrange.

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

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

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

NobleProg has been delivering Docker & Kubernetes training since 2015. With more than 360 successfully completed training projects, we have become one of the most recognized training companies worldwide in the field of containerization. Since 2019, we have also been assisting 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.
• Abundant 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 it.
• To learn more about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

This instructor-led, live course in Belo Horizonte provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.

Istio is an open-source service mesh designed to operate on Kubernetes, enabling secure, observable, and manageable connections between microservices. By utilizing Istio's Envoy-based sidecar proxies, development teams can enforce policies, secure communications through mTLS, gain deep insights into traffic patterns, and enhance reliability at scale.

This instructor-led live training, available online or on-site, targets intermediate-level engineers looking to deploy, secure, and manage microservices applications using Istio within a Kubernetes environment.

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

• Installing and configuring Istio on Kubernetes clusters.
• Understanding and applying service mesh concepts, including traffic management, security, and observability.
• Deploying microservices applications within an Istio service mesh.
• Securing service-to-service communications using mutual TLS (mTLS) and Zero Trust principles.
• Monitoring, tracing, and troubleshooting microservices using Prometheus, Grafana, and Jaeger.
• Integrating Istio with Calico for advanced network policies and security.

Course Format

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

Customization Options for the Course

• For requests regarding customized training for this course, please contact us to make arrangements.

The rapid evolution of microservices and container technologies has fundamentally transformed how we design, develop, deploy, and operate software. Today's applications need to excel in scalability, elasticity, resilience to failure, and adaptability to change. To meet these modern demands, architects must adopt a distinct set of patterns and practices. This training explores how to identify, comprehend, and adapt to these evolving requirements.

Audience
This course is designed for professionals who have some familiarity with container technology and Kubernetes concepts but may lack extensive practical experience. Drawing on use cases and lessons learned from real-world projects, the goal is to inspire participants to create and manage superior cloud-native applications.

• Developers
• Operations staff
• DevOps engineers
• QA Engineers
• IT Project Managers

Course Format

• Interactive lectures and discussions
• Numerous exercises and hands-on practice
• Practical implementation in a live laboratory environment

Course Customization Options

• For customized training arrangements for this course, please contact us.

This instructor-led, live training in Belo Horizonte (online or onsite) is designed for engineers who want to use Helm to streamline the installation and management of Kubernetes applications.

Upon completion 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 Belo Horizonte (available online or onsite) is designed for DevOps engineers who aim to use Kubernetes and Gitlab to automate the DevOps lifecycle.

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

• Automate application builds, tests, and deployments.
• Create an automated build infrastructure.
• Deploy an application to a containerized cloud environment.

In this instructor-led, live training in Belo Horizonte, participants will learn how to set up and manage a production-scale container environment using Kubernetes on Google Cloud.

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

• Configure and manage Kubernetes on Google Cloud.
• Deploy, manage and scale a Kubernetes cluster.
• Deploy containerized (Docker) applications on Google Cloud.
• Migrate an existing Kubernetes environment from on-premise to Google Cloud.
• Integrate Kubernetes with third-party continuous integration (CI) software.
• Ensure high availability and disaster recovery in Kubernetes.

This instructor-led, live training in Belo Horizonte (online or onsite) is designed for Kubernetes practitioners who wish to prepare for the CKS exam.

By the end of this training, participants will know how to secure Kubernetes environments and container-based applications throughout the different stages of an application's life cycle: build, deployment and runtime.

This instructor-led live training, held in Belo Horizonte (online or onsite), is designed for developers and DevOps engineers who wish to adopt a serverless approach for building enterprise applications on Kubernetes.

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

• Set up and configure the Kubernetes system to initiate development using a serverless architecture.
• Understand the foundational concepts and principles of serverless environments.
• Operate the toolchains required for serverless development and integrate them with Kubernetes components.
• Practice Python programming skills to implement serverless systems.
• Secure enterprise applications deployed through a serverless framework on Kubernetes.
• Utilize modern cloud computing methods to optimize DevOps task processing workflows.

This instructor-led live training in Belo Horizonte (online or onsite) is designed for engineers who want to enhance Kubernetes cluster security beyond the default configurations.

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

• Identify vulnerabilities inherent in a default Kubernetes installation.
• Prevent unauthorized access to the Kubernetes API, database, and other services.
• Protect the Kubernetes cluster from accidental or malicious intrusions.
• Develop a comprehensive security policy and establish a set of best practices.

This guided, live training in Belo Horizonte (online or in-person) targets engineers who want to advance their Docker knowledge to deploy applications at a larger scale while maintaining control.

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

• Creating custom Docker images.
• Deploying and managing a high volume of Docker applications.
• Assessing various container orchestration solutions to select the most appropriate one.
• Establishing a continuous integration pipeline for Docker applications.
• Integrating Docker applications with existing CI tooling.
• Securing Docker applications.

This intensive 7-day programme delivers a thorough, practical exploration of designing, deploying, and managing cloud-native applications through contemporary DevOps methodologies.

Attendees will learn to craft scalable microservices architectures, optimize containerized environments, and manage production workloads using Kubernetes. The curriculum encompasses advanced deployment techniques, GitOps-driven automation, and observability standards to guarantee system reliability and high performance.

Great emphasis is placed on addressing real-world operational hurdles, such as incident response, failure simulation, and root cause analysis. The programme wraps up by leveraging AI-powered tools to facilitate troubleshooting and expedite operational decision-making.

Upon completion, participants will possess a solid grasp of how to construct, deploy, monitor, and sustain resilient distributed systems within a Kubernetes-based ecosystem.

DC/OS (Distributed Cloud Operating System) is an open-source distributed operating system founded on the Apache Mesos project. Developed following the same architectural principles as the Linux kernel, Mesos operates at a distinct level of abstraction. The Mesos kernel is deployed across every machine, providing applications like Hadoop, Spark, Kafka, and Elasticsearch with APIs for resource management and scheduling throughout datacenter and cloud environments. By abstracting CPU, memory, storage, and other compute resources from individual machines (whether physical or virtual), Mesos enables the creation of fault-tolerant and elastic distributed systems that are easy to build and operate efficiently.

DC/OS unites Mesos with over 30 applications into a cohesive system, much like a Linux distribution packages the kernel with applications to form a functional operating system.

This course offers participants a comprehensive overview of Apache Mesos and DC/OS, demonstrating through practical, hands-on exercises how to deploy and manage a complete Data Center Operating System.

Audience

• System administrators
• DevOps engineers

Course Format

• Part lecture, part discussion, with heavy emphasis on hands-on practice

This instructor-led, live training in Belo Horizonte (online or onsite) is designed for engineers who wish to utilize Docker to deploy and manage software as containers, moving away from 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.

This instructor-led live training in Belo Horizonte (online or onsite) is aimed at DevOps engineers and developers who wish to use Fedora CoreOS to reduce the maintenance and upgrade costs of running containerized applications on Kubernetes.

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

• Install and configure Fedora CoreOS.
• Set up Kubernetes cluster on Fedora CoreOS.
• Run and manage Kubernetes deployments on Fedora CoreOS.
• Automatically update Fedora OS with the latest OS improvements, bug fixes, and security updates.

This instructor-led, live training Belo Horizonte (available online or onsite) is designed for DevOps engineers and developers who aim to use Java and Kubernetes (K8s) to create, build, test, debug, and deploy high-performance, scalable applications.

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

• Configure the necessary development environment to build Java applications.
• Understand the features and architecture of Kubernetes.
• Learn about the key concepts and tools for DevOps.
• Get a refresher on Java programming fundamentals.
• Containerize Java microservices using Docker.
• Build, scale, and deploy Java applications on Kubernetes.

Kubernetes serves as an open-source platform designed to automate every stage of the development lifecycle for containerized applications. Design patterns represent proven, iterative solutions to software development challenges related to system architecture. Meanwhile, Kubernetes extensions play a crucial role in configuring and supporting Kubernetes clusters. By leveraging these design patterns and extensions, platform users can implement CI/CD strategies while ensuring the scalability and flexibility of their software applications.

This instructor-led live training, available online or on-site, targets developers and DevOps engineers aiming to harness Kubernetes design patterns and extensions to build enterprise-grade applications on Kubernetes clusters.

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

• Provision a Kubernetes cluster and configure essential DevOps tools.
• Grasp the core concepts of software design patterns and Kubernetes extensions.
• Apply Kubernetes extensions and design patterns when interacting with the Kubernetes API.
• Create custom Kubernetes resources and deploy dynamic controllers within a cluster.
• Administer and secure any Kubernetes environment utilizing Kubernetes plugins.
• Incorporate DevOps networking models into current and future Kubernetes projects.

Course Format

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

Customization Options

• For those seeking tailored training for this course, please reach out to us to arrange a session.

This instructor-led, live training in Belo Horizonte (online or onsite) is aimed at intermediate to advanced DevOps engineers and system administrators who wish to deploy and manage self-hosted Kubernetes clusters without cloud dependencies.

By the end of this training, participants will be able to: deploy production-ready Kubernetes clusters using kubeadm on bare-metal or virtual machines; configure high-availability control planes and etcd clusters; implement container networking and storage for self-managed environments; set up monitoring and observability using self-hosted solutions.

This instructor-led, live training in Belo Horizonte (online or on-site) is designed for DevOps engineers and developers who want to deploy and manage OpenStack services within cloud infrastructures using Kubernetes.

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

• Deploy, configure, and manage MOS and its components.
• Access OpenStack APIs.
• Execute common OpenStack operational tasks (such as backup and restoration).
• Upgrade OpenStack deployments.

OpenShift Container Platform v4 is an enterprise-grade Kubernetes platform created by Red Hat, designed to automate the deployment, scaling, and management of containerized applications.

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

The course provides a hands-on approach to installing and managing OpenShift 4 clusters, working with Operators, securing workloads, and operating applications at scale.

In this instructor-led, live training in Belo Horizonte (online or onsite), participants will learn how to create, update, and maintain applications using OpenShift Container Platform.

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

• Understand OCI (Open Containers Initiative) and its implications for using container engines like Docker in OpenShift.
• Understand the relationship between the different versions of OpenShift (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.).
• Automate the software delivery pipeline.
• Apply DevOps principles to deliver software continuously.

This instructor-led live training in Belo Horizonte (online or onsite) is designed for penetration testers who wish to perform network penetration tests on Kali Linux using Python.

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

• Create Python programs to identify network vulnerabilities.
• Explore and use Kali web shells and shellcode in exploits.
• Apply various Kali tools for penetration testing.
• Exploit systems with Python.

This hands-on course is designed for system administrators, developers, embedded engineers, and general desktop users (including managers) seeking an introduction to virtualization. Upon completion, administrators will be equipped to build private clouds for production environments, while developers will gain the ability to test their code across multiple operating systems without requiring a second PC or non-x86 hardware.

We recognize that the topics covered in this course span a broad spectrum that may not be equally relevant to every participant. When registering for this course, please specify your specific goals for using QEMU or KVM. We will customize the curriculum by reallocating time from less critical areas to focus on the topics most important to you.

This instructor-led, live training in Belo Horizonte (online or onsite) is tailored for intermediate-level virtualization administrators who intend to use open-source platforms to migrate away from VMware.

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

• Install and configure KVM, oVirt, and Proxmox VE.
• Migrate virtual workloads from VMware.
• Implement high availability and disaster recovery mechanisms.
• Optimize performance in open-source virtualization environments.