Cloud Computing Training in Paro

This instructor-led, live training in Paro (online or onsite) is aimed at beginner-level data engineers who wish to use Azure Data Factory to implement scalable and efficient data integration solutions in the cloud.

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

• Understand the core concepts and architecture of Azure Data Factory (ADF).
• Learn to create, schedule, and monitor data pipelines.
• Integrate with various data sources, perform data transformation, and manage data flows.
• Implement best practices for error handling and performance optimization.
• Secure and monitor data pipelines for production environments.

This instructor-led, live training in Paro (online or onsite) is aimed at intermediate-level IT professionals who wish to develop the skills required to deploy, manage, and operate workloads on Google Cloud and prepare for the Google Certified Associate Cloud Engineer certification.

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

• Set up and manage Google Cloud projects, resources, networking, and storage services.
• Deploy and administer applications using Compute Engine, Google Kubernetes Engine (GKE), Cloud Run, and App Engine.
• Configure identity and access management, security controls, and billing budgets, alerts, and cost monitoring.
• Provision and automate cloud infrastructure using Terraform and Cloud Build.
• Monitor, troubleshoot, and optimize Google Cloud environments using Cloud Monitoring and Cloud Logging.
• Understand the capabilities of Vertex AI and Google Cloud AI services for common business and operational use cases.

Google Colab Pro is a cloud-based environment for scalable Python development, offering high-performance GPUs, longer runtimes, and more memory for demanding AI and data science workloads.

This instructor-led, live training (online or onsite) is aimed at intermediate-level Python users who wish to use Google Colab Pro for machine learning, data processing, and collaborative research in a powerful notebook interface.

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

• Set up and manage cloud-based Python notebooks using Colab Pro.
• Access GPUs and TPUs for accelerated computation.
• Streamline machine learning workflows using popular libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Integrate with Google Drive and external data sources for collaborative projects.

Format of the Course

• Interactive lecture and discussion.
• Lots of 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 instructor-led, live training in Paro (online or onsite) is aimed at intermediate-level data scientists and healthcare professionals who wish to leverage AI for advanced healthcare applications using Google Colab.

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

• Implement AI models for healthcare using Google Colab.
• Use AI for predictive modeling in healthcare data.
• Analyze medical images with AI-driven techniques.
• Explore ethical considerations in AI-based healthcare solutions.

This instructor-led, live training in Paro (online or onsite) is aimed at intermediate-level data scientists and engineers who wish to use Google Colab and Apache Spark for big data processing and analytics.

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

• Set up a big data environment using Google Colab and Spark.
• Process and analyze large datasets efficiently with Apache Spark.
• Visualize big data in a collaborative environment.
• Integrate Apache Spark with cloud-based tools.

This instructor-led, live training in Paro (online or onsite) is aimed at beginner-level system administrators who wish to learn essential concepts and practical skills required for effective management and optimization of Nutanix environments.

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

• Understand Nutanix Enterprise Cloud Platform and its components.
• Install, configure, and manage Nutanix Clusters.
• Gain proficiency in administering the Acropolis Hypervisor (AHV).
• Perform advanced management tasks and troubleshooting.
• Implement best practices for high availability, disaster recovery, and security.

This instructor-led, live training in Paro (online or onsite) is aimed at beginner-level IT professionals who wish to manage and operate the Google Cloud Platform.

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

• Understand the core services and infrastructure of GCP.
• Learn how to manage networks and virtual machines.
• Understand and apply general security best practices in GCP.
• Explore Kubernetes and container management in GCP.
• Learn about storage options and how to configure them.
• Deploy and configure databases on GCP.

This instructor-led, live training in Paro (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of computer vision and explore TensorFlow's capabilities for developing sophisticated vision models using Google Colab.

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

• Build and train convolutional neural networks (CNNs) using TensorFlow.
• Leverage Google Colab for scalable and efficient cloud-based model development.
• Implement image preprocessing techniques for computer vision tasks.
• Deploy computer vision models for real-world applications.
• Use transfer learning to enhance the performance of CNN models.
• Visualize and interpret the results of image classification models.

This instructor-led, live training in Paro (online or onsite) is aimed at advanced-level professionals who wish to enhance their knowledge of machine learning models, improve their skills in hyperparameter tuning, and learn how to deploy models effectively using Google Colab.

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

• Implement advanced machine learning models using popular frameworks like Scikit-learn and TensorFlow.
• Optimize model performance through hyperparameter tuning.
• Deploy machine learning models in real-world applications using Google Colab.
• Collaborate and manage large-scale machine learning projects in Google Colab.

Cloud Computing is a scalable, flexible model for delivering IT resources and services on demand.

This instructor-led, live training (online or onsite) is aimed at beginner-level to advanced-level cloud practitioners who wish to master AWS and Azure technologies while preparing for globally recognized certifications.

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

• Understand foundational cloud principles across AWS and Azure.
• Configure, secure, and manage Azure resources effectively.
• Implement AWS compute, storage, networking, and security services.
• Apply architectural best practices and integrate generative AI concepts for executive-level planning.

Format of the Course

• Instructor-guided sessions supported by real-world cloud demonstrations.
• Extensive hands-on exercises across both AWS and Azure environments.
• Practical labs designed to build readiness for multiple certification exams.

Course Customization Options

• For tailored content aligned with your organizational cloud roadmap, please contact us to customize this training.

This instructor-led, live training in Paro (online or onsite) is aimed at intermediate-level data scientists and developers who wish to apply NLP techniques using Python in Google Colab.

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

• Understand the core concepts of natural language processing.
• Preprocess and clean text data for NLP tasks.
• Perform sentiment analysis using NLTK and SpaCy libraries.
• Work with text data using Google Colab for scalable and collaborative development.

This instructor-led, live training in Paro (online or onsite) is aimed at intermediate-level data scientists and developers who wish to understand and apply deep learning techniques using the Google Colab environment.

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

• Set up and navigate Google Colab for deep learning projects.
• Understand the fundamentals of neural networks.
• Implement deep learning models using TensorFlow.
• Train and evaluate deep learning models.
• Utilize advanced features of TensorFlow for deep learning.

This instructor-led, live training in Paro (online or onsite) is aimed at intermediate-level data engineers, cloud architects, and business intelligence professionals who wish to master data management in industry-specific cloud environments.

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

• Understand the principles and components of data fabrics.
• Design and implement data integration and orchestration solutions.
• Ensure data quality and governance within industry cloud platforms.
• Utilize data fabrics to support industry-specific data analysis and decision-making.
• Stay current with emerging trends and technologies in cloud data management.

VMware vSphere 8 is a market-leading virtualization platform used to power modern data center infrastructures.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to install, configure, and manage VMware vSphere environments while preparing for the VCP certification.

At the conclusion of the course, learners will have the skills to:

• Install and configure ESXi hosts.
• Deploy and administer vCenter Server.
• Configure vSphere networking and storage.
• Create, deploy, and optimize virtual machines.

Format of the Course

• Instructor-guided presentations and technical discussions.
• Extensive lab work and scenario-based exercises.
• Practical configuration and management in a dedicated vSphere environment.

Course Customization Options

• For tailored VMware vSphere training solutions, please contact us to discuss customization options.

This instructor-led, live training in Paro (online or onsite) is aimed at beginner-level IT professionals, business analysts, and project managers who wish to understand the fundamentals of cloud computing and its applications in various industries.

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

• Identify the key characteristics and benefits of cloud computing.
• Understand the differences between various cloud service and deployment models.
• Recognize the importance of industry-specific cloud solutions.
• Assess the security and compliance aspects of cloud platforms.
• Explore emerging trends and future directions in cloud technology.

This instructor-led, live training in Paro (online or onsite) is aimed at intermediate-level cloud engineers and operations managers who wish to improve their cloud infrastructure management using Kubiya AI.

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

• Integrate Kubiya AI into cloud infrastructure.
• Automate cloud resource provisioning and management.
• Optimize cloud costs using AI-powered analytics.
• Enhance cloud security with AI-driven monitoring.

This instructor-led, live training in Paro (online or onsite) is aimed at intermediate-level data scientists and developers who wish to apply machine learning algorithms efficiently using the Google Colab environment.

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

• Set up and navigate Google Colab for machine learning projects.
• Understand and apply various machine learning algorithms.
• Use libraries like Scikit-learn to analyze and predict data.
• Implement supervised and unsupervised learning models.
• Optimize and evaluate machine learning models effectively.

VMware vSphere: Operate, Scale and Secure expands upon foundational vSphere administration to deliver best practices in security, performance tuning, scalability, and advanced operations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level IT professionals who wish to manage and optimize large-scale or mission-critical vSphere environments securely and efficiently.

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

• Monitor, analyze, and optimize vSphere performance.
• Secure vSphere components using encryption, certificates, and role-based controls.
• Scale vSphere deployments using advanced networking and storage features.
• Apply lifecycle and patch management using vSphere tools.

Format of the Course

• Interactive lecture and discussion.
• Hands-on lab exercises and troubleshooting scenarios.
• Real-world enterprise-focused implementations.

Course Customization Options

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

This instructor-led, live training in Paro (online or onsite) is aimed at beginner-level data scientists who wish to learn how to create meaningful and visually appealing data visualizations.

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

• Set up and navigate Google Colab for data visualization.
• Create various types of plots using Matplotlib.
• Utilize Seaborn for advanced visualization techniques.
• Customize plots for better presentation and clarity.
• Interpret and present data effectively using visual tools.

VMware vSphere is a leading virtualization platform that enables efficient management of virtual infrastructure across datacenters and hybrid cloud environments.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to install, configure, and manage VMware vSphere environments.

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

• Install and configure ESXi hosts and vCenter Server.
• Create and manage virtual machines and vApps.
• Configure virtual networking and storage resources.
• Implement user permissions, monitoring, and basic troubleshooting.

Format of the Course

• Interactive lecture and discussion.
• Hands-on lab exercises and demos.
• Real-world practical implementation.

Course Customization Options

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

This instructor-led, live training in Paro (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.

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

• Set up and configure AWS Cloud9 for DevOps workflows.
• Implement continuous integration and continuous delivery (CI/CD) pipelines.
• Automate testing, monitoring, and deployment processes using AWS Cloud9.
• Integrate AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Utilize source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training in Paro (online or onsite) is aimed at beginner-level developers and data analysts who wish to learn Python programming from scratch using Google Colab.

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

• Understand the basics of Python programming language.
• Implement Python code in Google Colab environment.
• Utilize control structures to manage the flow of a Python program.
• Create functions to organize and reuse code effectively.
• Explore and use basic libraries for Python programming.

VMware vSphere is a leading virtualization platform used to build resilient IT infrastructure.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to gain practical skills in identifying and resolving issues in VMware vSphere environments.

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

• Diagnose and resolve common problems related to virtual machines and vSphere services.
• Use VMware tools to analyze and fix performance and configuration issues.
• Troubleshoot virtual networking and storage configurations.
• Perform root cause analysis in production environments.

Format of the Course

• Interactive lecture and discussion.
• Lots of 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 instructor-led, live training in Paro (online or onsite) is aimed at intermediate to advanced-level integration developers and system administrators who wish to learn advanced Boomi techniques for building, managing, and deploying cloud-based solutions on integration platforms.

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

• Use AtomSphere and work with Boomi documents.
• Create and design complex integration processes for advanced logic and data processing.
• Manage deploy integration processes, logging, and reporting.
• Capture and handle errors.
• Apply best practices and techniques for integrating with Boomi.

This instructor-led, live training in Paro (online or onsite) is aimed at beginner-level data scientists and IT professionals who wish to learn the basics of data science using Google Colab.

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

• Set up and navigate Google Colab.
• Write and execute basic Python code.
• Import and handle datasets.
• Create visualizations using Python libraries.

This instructor-led, live training in Paro (online or onsite) is aimed at intermediate-level professionals who wish to learn how to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

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

• Understand the fundamentals of serverless architecture.
• Set up AWS Cloud9 for serverless application development.
• Develop, test, and deploy serverless applications using AWS Lambda.
• Integrate AWS Lambda with other AWS services such as API Gateway and S3.
• Optimize serverless applications for performance and cost efficiency.

This instructor-led, live training in Paro (online or onsite) is aimed at intermediate-level developers, system administrators, and cloud architects who wish to use NoCloud for their cloud solutions.

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

• Set up a development environment that includes NoCloud, Docker, Kubernetes, and Helm.
• Create and manage cloud services with NoCloud.
• Understand the lifecycle of a cloud service in NoCloud.
• Integrate NoCloud with existing infrastructure or virtual resources.
• Troubleshoot common issues in a NoCloud environment.

This instructor-led, live training in Paro (online or onsite) is aimed at developers, system administrators, and cloud enthusiasts who wish to gain practical knowledge of OpenNebula and use it for their cloud solutions.

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

• Set up a development environment that includes OpenNebula.
• Create and manage virtual machines in OpenNebula.
• Understand the lifecycle of a virtual machine.
• Integrate OpenNebula with existing infrastructure.
• Troubleshoot common issues in an OpenNebula environment.

This instructor-led, live training in Paro (online or onsite) is aimed at intermediate-level system administrators who wish to use VMware vCenter to manage complex virtual environments.

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

• Understand the architecture and components of VMware vSphere and vCenter Server.
• Install, configure, and manage VMware ESXi and vCenter Server.
• Implement advanced networking and storage configurations.
• Create, manage, and migrate virtual machines.
• Ensure high availability and disaster recovery in a virtualized environment.
• Automate vSphere tasks and manage lifecycle and upgrades.
• Troubleshoot common issues and apply best practices.

The aim of this course is to get familiar with the OpenStack environment both from the operator and administrator side. After a brief introduction to cloud computing you will get your own OpenStack instance and perform hands-on operational and administrative actions. The course covers all the basic components of the OpenStack from general architecture to administering the cloud. The format of the course comprises around 75% of hands-on workshop in the real OpenStack environment.

The course is a comprehensive training on OpenStack. It starts with the introduction to the system, then through hands-on workshops it gives practical knowledge on managing private clouds based on OpenStack, finally troubleshooting and advanced, architectural topics are present. The goal of this course is to familiarize with the OpenStack ecosystem as well as to give a strong background for further expansion and refinement of the OpenStack clouds. The course comprises all topics necessary to accomplish the Certificate OpenStack Administrator exam. 75% of the course is based on hands-on workshop in the real OpenStack training environment.

This intensive OpenStack training provides practical, hands-on experience in deploying, managing, troubleshooting, and optimizing private cloud environments based on OpenStack. Designed as an extended bootcamp, the course covers core administration topics, real-world troubleshooting scenarios, and advanced architectural concepts aligned with the Certified OpenStack Administrator exam objectives. With 75% workshop-based learning in a live OpenStack lab, participants build the skills needed to confidently administer and further develop enterprise OpenStack infrastructures.

The course is a profound training on OpenStack networking. It starts with the introduction to OpenStack and its architecture, then clarifies core OpenStack projects as Identity service (Keystone), Image service (Glance), Compute service (Nova), Block storage (Cinder) in order to describe the surroundings of the networks in OpenStack and mainly focus on Networking project (Neutron). Virtual network infrastructure is described and based on the Open Virtual Network project, Open vSwitch and OpenFlow. The goal of the course is to understand basic operations and architecture of OpenStack as well as to familiarize participants with various networking technologies behind OpenStack, extending information about OVN and underlying flows, resources and tools.

Customization options

The training can be contracted to 2 days, focusing on core aspects relevant for the customer. The training can be also extended regarding administrative, design, networking and/or troubleshooting topics concerning OpenStack deployments. It is possible to describe other underlying SDN solutions like Linux Bridge or OvS.

This instructor-led, live training in Paro (onsite or remote) is aimed at engineers who wish to deploy and manage IoT devices on AWS.

By the end of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on top of AWS.

This instructor-led, live training in Paro (onsite or remote) is aimed at developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without needing to worry about provisioning the execution environment (servers, VMs and containers, availability, scalability, storage, etc.).

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

• Configure AWS Lambda to execute a function.
• Understand FaaS (Functions as a Service) and the advantages of serverless development.
• Build, upload and execute AWS Lambda functions.
• Integrate Lambda functions with different event sources.
• Package, deploy, monitor and troubleshoot Lambda based applications.

This instructor-led, live training in Paro (online or onsite) is aimed at integration developers, sysadmins, and system integrators who wish to use Boomi to build, manage, and deploy integration platforms for cloud-based solutions.

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

• Set up the necessary environment to start building integrations with Boomi.
• Understand Boomi AtomSphere's features, architecture, and core concepts.
• Learn how to design, build, and deploy integration processes with Boomi.
• Use Boomi's dashboard and reporting options to monitor applications.
• Manage configurations and deployments for Atom, Molecule, and Atom Cloud.
• Enable web services and API integration and management with Boomi.

Gaining practical experience in cloud computing reveals a fundamental path to modern infrastructure mastery. Explores core paradigms spanning virtualization, hypervisors, network layering, and distributed architectures alongside practical strategies for cost optimization and security. Equips participants with hands-on understanding of major platforms including AWS, Azure, and Google Cloud, covering compute services, virtual networks, managed databases, and serverless deployments. Builds confidence designing high-availability solutions across public cloud ecosystems.

This 7-day programme provides a comprehensive, hands-on journey into designing, deploying, and operating cloud-native applications using modern DevOps practices.

Participants will explore how to design scalable microservices architectures, optimise container environments, and manage production workloads using Kubernetes. The course covers advanced deployment strategies, GitOps-based automation, and observability practices to ensure system reliability and performance.

A strong focus is placed on real-world operational challenges, including incident response, failure simulation, and root cause analysis. The programme concludes with the use of AI-powered tools to support troubleshooting and accelerate operational decision-making.

By the end of the training, participants will have a clear understanding of how to build, deploy, monitor, and maintain resilient distributed systems in a Kubernetes-based environment.

This course is designed to empower non-technical professionals—such as managers, business analysts, QA testers, and operations personnel—with a foundational understanding of cloud computing. Participants will explore the core concepts, benefits, and practical applications of the cloud to make more informed decisions and contribute effectively to cloud migration initiatives. Emphasis will be placed on demystifying cloud jargon, comparing cloud and on-premise infrastructure, understanding service models, and recognizing how cloud impacts various roles within an organization.

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

• Understand the key definitions and terminology of cloud computing
• Identify different cloud service models (IaaS, PaaS, SaaS)
• Differentiate between cloud deployment models (Public, Private, Hybrid, Multi-Cloud)
• Compare on-premises vs. cloud-based infrastructure
• Understand cloud advantages: scalability, agility, availability, and cost-efficiency
• Recognize common cloud platforms (AWS, Azure, GCP) and their service offerings
• Comprehend cloud responsibilities: shared responsibility model and role-based access
• Grasp the impact of cloud on software testing, deployment, and monitoring
• Participate effectively in cloud adoption and migration projects
• Appreciate cloud security basics, compliance, and governance principles

This 3-day training program is designed to provide participants with a solid foundation in cloud computing concepts, alongside hands-on experience with the leading cloud platforms: AWS, Microsoft Azure, and Google Cloud Platform (GCP). The course is structured in four sessions, each focusing on one of the major cloud platforms, with the initial session dedicated to general cloud computing principles. By the end of this course, participants will have a clear understanding of cloud computing fundamentals, practical knowledge of the architecture and services of each platform, and the skills to deploy and manage resources in real-world scenarios.

This instructor-led, live training in Paro (online or onsite) is aimed at IT architects and IT consultants who wish to employ the best practices for cloud infrastructure and services.

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

• Leverage cloud infrastructure and services for business implementation.
• Apply advanced cloud security with Cloud Security Alliance standards.
• Migrate legacy systems into the cloud using SOA and Paas synergy.
• Automate on demand resource provisioning for asynchronous cloud services.

Crossplane is an open-source multi-cloud control plane. As a Kubernetes add-on, Crossplane leverages the Kubernetes API. It allows you to extend a Kubernetes cluster to provision, manage, and orchestrate cloud infrastructure, services, and applications. 

Crossplane relies on these building blocks: Packages, Providers, Managed Resources, and Composite Resources.

Crossplane enables you to provision, compose, and consume infrastructure in any cloud service provider using the Kubernetes API. Using Crossplane you can create resources on the cloud using simple manifests and can then integrate this with your CI/CD or GitOps pipelines.

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

• Understand the best practices for utilizing Crossplane to deploy and manage cloud-native
  applications across multiple clouds.

Format of the Course

• Interactive lecture and discussion.
• Lots of 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.

Build a strong foundation in designing and managing a resilient edge computing infrastructure. Learn about open hybrid cloud infrastructures, managing workloads across diverse clouds, and ensuring flexibility and redundancy. This training provides essential knowledge on creating a scalable and secure infrastructure that supports the dynamic needs of modern applications with edge computing.

This instructor-led, live training in Paro (online or onsite) is aimed at cloud administrators, cloud architects, technology heads, and financial analysts who wish to record, manage, monitor, and process financial assets of an organization in the cloud.

By the end of this training, participants will be able to use FinOps practices in an organization to forecast costs, optimize processes, and perform financial management operations in the cloud.

Summary:

• Understanding IoT architecture and core functions.
• Exploring the concept of "Things" and "Sensors," the Internet of Things, and mapping business functions to IoT solutions.
• Comprehensive overview of IoT software components: hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Key IoT functions: Fleet management, data visualization, SaaS-based FM and DV, alerting/alarm systems, sensor and "thing" onboarding, and geo-fencing.
• Fundamentals of IoT device-to-cloud communication using MQTT.
• Connecting IoT devices to AWS via MQTT using AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computation and Amazon DynamoDB for data storage.
• Connecting a Raspberry Pi to AWS IoT Core for seamless data communication.
• Hands-on lab: Building a smart device using a Raspberry Pi and AWS IoT Core.
• Sensor data visualization and web interface communication.

OpenTelemetry is a set of APIs, SDKs, and tools for instrumenting, generating, collecting, and exporting telemetry data (metrics, logs, and traces) to analyze the performance and health of applications. It is an open-source project designed to provide a unified and vendor-neutral way to observe system

This instructor-led, live training in Paro (online or onsite) is aimed at intermediate-level IT professionals and technology decision-makers who wish to use open-source platforms and open standards to design portable, resilient, and sovereign software environments.

By the end of this training, participants will be able to: explain digital sovereignty concepts, assess portability risks, evaluate Kubernetes and open-source platform options, and define practical adoption steps.

The course is a comprehensive training on OpenStack. It starts with the introduction to the
system, then through hands-on workshops it gives practical knowledge on managing private
clouds based on OpenStack, finally troubleshooting and advanced, architectural topics are
present. The goal of this course is to familiarize with the OpenStack ecosystem as well as to
give a strong background for further expansion and refinement of the OpenStack clouds.
The course comprises all topics necessary to accomplish the Certificate OpenStack
Administrator exam.

This instructor-led, live training in (online or onsite) is aimed at system administrators and infrastructure engineers who wish to design, deploy, and manage private OpenStack cloud infrastructure for enterprise environments.

By the end of this training, participants will be able to understand OpenStack architecture, deploy private cloud infrastructure, manage compute and storage resources, implement security with Keystone, and apply enterprise best practices.

This instructor-led, live training in Paro (online or onsite) is aimed at intermediate-level IT leaders, architects, and governance professionals who wish to use sovereign cloud strategy principles to design governance models, choose suitable cloud architectures, and prepare realistic cloud exit plans.

By the end of this training, participants will be able to: define sovereignty requirements, evaluate architecture options, establish governance controls, and build a practical exit roadmap.

This instructor-led, live training in Paro (online or onsite) is aimed at intermediate-level virtualization administrators who wish 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.
• Optimize performance in open-source virtualization environments.