Whether conducted online or onsite, instructor-led live Cloud Computing training courses demonstrate the fundamentals of cloud computing and how to benefit from cloud computing through hands-on practice.
Cloud Computing training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Cloud Computing trainings in Lyon can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Lyon, Swisslife Tower
NobleProg Lyon, 10 Place Charles Béraudier, Lyon, france, 69000
Located 200 meters far from the train station TGV, Swisslife Tower is today the most representative building of this quarter of Lyon. The Business Center offers you a perfect location for your training.
Gares TGV
100meters from Gare TGV Part-Dieu , porte du Rhône Exit
Aéroport
30 minutes from Lyon Saint Exupéry (Satolas)
Rhône Express from Saint Exupéry airport (Terminus Gare part-Dieu)
This instructor-led, live training in Lyon (online or onsite) is designed for beginner-level data engineers seeking to utilize Azure Data Factory for implementing scalable and efficient cloud-based data integration solutions.
By the end of this training, participants will be able to:
Comprehend the core concepts and architecture of Azure Data Factory (ADF).
Create, schedule, and monitor data pipelines.
Integrate with diverse 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 Lyon (online or onsite) is designed for intermediate-level IT professionals who wish to gain expertise in managing cloud infrastructure and services on Google Cloud.
By the end of this training, participants will be able to:
Set up and configure cloud environments using Google Cloud services.
Manage and configure virtual machines, storage, and networking.
Deploy and monitor applications in GCP environments.
Implement security best practices and identity management.
Utilize Google Cloud tools for automation and troubleshooting.
Google Colab Pro provides a cloud-based environment for scalable Python development, offering high-performance GPUs, longer runtimes, and increased memory capacity for demanding AI and data science workloads.
This instructor-led, live training (available online or onsite) targets intermediate-level Python users who wish to leverage Google Colab Pro for machine learning, data processing, and collaborative research within 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 also allows for the evaluation of participants.
Interactive lecture and discussion.
Extensive 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 conducted in Lyon (either online or on-site) is directed at intermediate-level data scientists and healthcare professionals eager to harness AI for sophisticated healthcare applications using Google Colab.
By the conclusion of this training, participants will be able to:
Implement healthcare-specific AI models using Google Colab.
Utilize AI for predictive modeling within healthcare data.
Analyze medical images employing AI-driven techniques.
Investigate ethical considerations inherent in AI-based healthcare solutions.
This instructor-led, live training in Lyon (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.
This instructor-led, live training in Lyon (online or onsite) is designed for 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 Lyon (online or onsite) is aimed at intermediate-level data professionals who wish to apply time series forecasting techniques to real-world data using Google Colab.
By the end of this training, participants will be able to:
Understand the fundamentals of time series analysis.
Use Google Colab to work with time series data.
Apply ARIMA models to forecast data trends.
Utilize Facebook’s Prophet library for flexible forecasting.
Visualize time series data and forecasting results.
This instructor-led live training in Lyon (available online or onsite) is targeted 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.
This live, instructor-led training in Lyon (available online or in-person) targets advanced professionals eager to deepen their understanding of reinforcement learning and its practical applications in AI development using Google Colab.
By the conclusion of this training, participants will be able to:
Comprehend the core concepts of reinforcement learning algorithms.
Implement reinforcement learning models using TensorFlow and OpenAI Gym.
Develop intelligent agents that learn through trial and error.
Optimize agents' performance using advanced techniques such as Q-learning and deep Q-networks (DQNs).
Train agents in simulated environments using OpenAI Gym.
Deploy reinforcement learning models for real-world applications.
This instructor-led, live training in Lyon (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 Lyon (online or onsite) is designed for advanced-level professionals who want to expand their knowledge of machine learning models, improve their hyperparameter tuning skills, and learn how to effectively deploy models 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 represents a scalable and flexible approach to delivering IT resources and services on demand.
This instructor-led live training, available online or on-site, is designed for cloud practitioners ranging from beginner to advanced levels who aim to master AWS and Azure technologies while preparing for globally recognized certifications.
Upon completing this program, participants will be equipped to:
Grasp foundational cloud principles across both AWS and Azure platforms.
Effectively configure, secure, and manage Azure resources.
Implement AWS compute, storage, networking, and security services.
Apply architectural best practices and integrate generative AI concepts for executive-level strategic planning.
Course Format
Instructor-guided sessions complemented by real-world cloud demonstrations.
Extensive hands-on exercises across both AWS and Azure environments.
Practical labs designed to prepare participants for multiple certification exams.
Customization Options
To align the content specifically with your organization's cloud roadmap, please contact us to tailor this training.
This instructor-led live training in Lyon (online or onsite) is designed for intermediate-level data scientists and developers who aim to apply NLP techniques using Python in Google Colab.
By the conclusion of this training, participants will be able to:
Comprehend 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 Lyon (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 Lyon (online or onsite) is designed for intermediate-level data engineers, cloud architects, and business intelligence professionals seeking to master data management within industry-specific cloud environments.
Upon completion of this training, participants will be able to:
Grasp the core principles and components of data fabrics.
Design and deploy data integration and orchestration solutions.
Ensure data quality and governance within industry cloud platforms.
Leverage data fabrics to facilitate industry-specific data analysis and decision-making.
Remain abreast of emerging trends and technologies in cloud data management.
VMware vSphere 8 is a leading virtualization platform designed to drive modern data center infrastructures.
This instructor-led, live training (available online or on-site) is tailored for IT professionals with intermediate-level expertise who aim to install, configure, and manage VMware vSphere environments, particularly in preparation for the VCP certification.
By the end of the course, learners will acquire the following skills:
Install and configure ESXi hosts.
Deploy and administer vCenter Server.
Configure vSphere networking and storage.
Create, deploy, and optimize virtual machines.
Course Format
Instructor-led presentations and technical discussions.
Extensive hands-on lab work and scenario-based exercises.
Practical configuration and management within a dedicated vSphere environment.
Customization Options
For customized VMware vSphere training solutions, please contact us to explore available options.
This instructor-led, live training in Lyon (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 Lyon (available online or onsite) is designed for intermediate-level cloud engineers and operations managers who aim 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.
This instructor-led live training in Lyon (online or onsite) is designed for 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 builds upon foundational vSphere administration skills, delivering 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 also allows for the evaluation of participants.
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 Lyon (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 stands as a premier virtualization platform, facilitating the streamlined management of virtual infrastructure across data centers and hybrid cloud environments.
This instructor-led live training, available either online or onsite, is designed for IT professionals ranging from beginner to intermediate levels who aim to install, configure, and manage VMware vSphere environments.
Upon completion of this training, participants will be capable of:
Installing and configuring ESXi hosts and vCenter Server.
Creating and managing virtual machines and vApps.
Configuring virtual networking and storage resources.
Implementing user permissions, monitoring, and fundamental troubleshooting techniques.
Course Format
Interactive lectures and discussions.
Hands-on lab exercises and demonstrations.
Practical, real-world implementation scenarios.
Customization Options for the Course
To arrange customized training for this course, please reach out to us for further details.
This instructor-led, live training in Lyon (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 Lyon (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:
Grasp the fundamentals of the Python programming language.
Write and run Python code within the Google Colab environment.
Apply control structures to manage the flow of a Python program.
Develop functions to organize and reuse code effectively.
Explore and utilize basic libraries for Python programming.
VMware vSphere serves as a premier virtualization platform, enabling the creation of resilient IT infrastructure.
This instructor-led live training (available online or onsite) targets intermediate IT professionals seeking to acquire practical skills for identifying and resolving issues within VMware vSphere environments.
Upon completion of this training, participants will be able to:
Diagnose and resolve common problems associated with virtual machines and vSphere services.
Leverage VMware tools to analyze and address performance and configuration challenges.
Troubleshoot virtual networking and storage configurations.
Conduct root cause analysis in production environments.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation in a live-lab environment.
Customization Options
To request customized training for this course, please contact us to make arrangements.
This instructor-led live training, available in Lyon (online or onsite), is designed for intermediate to advanced-level integration developers and system administrators who wish to acquire advanced Boomi skills for constructing, managing, and deploying cloud-based solutions on integration platforms.
By the end of this course, participants will be able to:
Utilize AtomSphere and manipulate Boomi documents.
Design and create complex integration processes to support advanced logic and data processing.
Manage the deployment of integration processes, including logging and reporting.
Identify and handle errors effectively.
Apply industry best practices and techniques for integrating with Boomi.
This instructor-led live training in Lyon (online or onsite) targets 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:
This instructor-led, live training in Lyon (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 Lyon (online or onsite) is designed for intermediate-level developers, system administrators, and cloud architects who want to leverage NoCloud for their cloud solutions.
Upon completion of this training, participants will be able to:
Set up a development environment incorporating NoCloud, Docker, Kubernetes, and Helm.
Create and manage cloud services using NoCloud.
Understand the lifecycle of a cloud service within NoCloud.
Integrate NoCloud with existing infrastructure or virtual resources.
Troubleshoot common issues in a NoCloud environment.
This instructor-led, live training in Lyon (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 Lyon (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:
Comprehend the architecture and key components of VMware vSphere and vCenter Server.
Install, configure, and administer VMware ESXi and vCenter Server.
Deploy advanced networking and storage configurations.
Provision, manage, and migrate virtual machines.
Guarantee high availability and disaster recovery capabilities within the virtualized environment.
Automate vSphere tasks and handle lifecycle management and upgrades.
Troubleshoot common issues and implement industry best practices.
This course is designed to help participants become proficient in the OpenStack environment from both operator and administrator perspectives. Following a brief introduction to cloud computing, you will be provided with your own OpenStack instance to perform practical operational and administrative tasks. The curriculum covers all fundamental components of OpenStack, ranging from general architecture to cloud administration. Approximately 75% of the course consists of hands-on workshops conducted in a real OpenStack environment.
This course offers a comprehensive training program on OpenStack. It begins with an introduction to the system and proceeds through hands-on workshops to provide practical knowledge for managing OpenStack-based private clouds. The curriculum also covers troubleshooting and advanced architectural topics. The objective is to familiarize participants with the OpenStack ecosystem and establish a strong foundation for further expansion and refinement of OpenStack clouds. The course includes all necessary topics to prepare for the OpenStack Administrator certification exam. Seventy-five percent of the course consists of hands-on workshops in a 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.
This course offers in-depth training on OpenStack networking. It begins with an introduction to OpenStack and its architecture, then clarifies core OpenStack projects such as Identity service (Keystone), Image service (Glance), Compute service (Nova), and Block storage (Cinder) 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 Lyon (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 Lyon (onsite or remote) is designed for developers who wish to leverage AWS Lambda to build and deploy cloud services and applications, without the burden of provisioning the execution environment (servers, VMs, 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 Lyon (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. This course explores core paradigms spanning virtualization, hypervisors, network layering, and distributed architectures, alongside practical strategies for cost optimization and security. It equips participants with a hands-on understanding of major platforms including AWS, Azure, and Google Cloud, covering compute services, virtual networks, managed databases, and serverless deployments, ultimately building confidence in designing high-availability solutions across public cloud ecosystems.
This intensive 7-day programme offers a practical, in-depth exploration of designing, deploying, and managing cloud-native applications through contemporary DevOps methodologies.
Attendees will learn to architect scalable microservices, optimize containerized environments, and manage production workloads within Kubernetes. The curriculum encompasses advanced deployment techniques, GitOps-driven automation, and observability strategies essential for ensuring system reliability and performance.
Significant emphasis is placed on addressing real-world operational challenges, such as incident management, failure simulation, and root cause analysis. The programme culminates with the application of AI-powered tools to enhance troubleshooting capabilities and expedite operational decision-making.
Upon completion, participants will possess a clear understanding of how to build, deploy, monitor, and sustain resilient distributed systems within a Kubernetes ecosystem.
This course is crafted to equip non-technical professionals—including managers, business analysts, QA testers, and operations staff—with a solid grounding in cloud computing. Participants will delve into essential concepts, advantages, and real-world applications of the cloud to facilitate better decision-making and active involvement in cloud migration efforts. The focus will be on clarifying cloud terminology, contrasting cloud solutions with on-premise setups, exploring service models, and understanding how cloud technology influences different organizational roles.
Upon completing this course, participants will be capable of:
Comprehending the primary definitions and vocabulary of cloud computing
Identifying various cloud service models (IaaS, PaaS, SaaS)
Distinguishing between cloud deployment models (Public, Private, Hybrid, Multi-Cloud)
Comparing on-premises infrastructure with cloud-based solutions
Understanding cloud benefits: scalability, agility, availability, and cost-effectiveness
Recognizing leading cloud platforms (AWS, Azure, GCP) and their offerings
Understanding cloud accountability: the shared responsibility model and role-based access
Appreciating the influence of cloud on software testing, deployment, and monitoring
Contributing effectively to cloud adoption and migration projects
Valuing fundamental cloud security, compliance, and governance principles
This three-day training program is crafted to equip participants with a robust understanding of cloud computing concepts, complemented by practical experience across leading cloud platforms: AWS, Microsoft Azure, and Google Cloud Platform (GCP). The curriculum is divided into four sessions, with the first dedicated to general cloud principles and subsequent sessions focusing on each major cloud provider. Upon completion, participants will possess a comprehensive grasp of cloud fundamentals, detailed knowledge of platform architectures and services, and the ability to deploy and manage resources in real-world contexts.
This instructor-led live training in Lyon (online or onsite) is targeted at IT architects and IT consultants seeking to apply 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.
This instructor-led live training in Lyon (online or on-site) targets cloud administrators, cloud architects, technology leaders, and financial analysts looking to record, manage, monitor, and process their organization's financial assets in the cloud.
By the end of this training, participants will be able to utilize FinOps practices to forecast expenses, optimize workflows, and carry out financial management activities in the cloud.
Gaining a clear understanding of IoT architecture and its core functions.
Exploring the concept of "Things" and "Sensors," the fundamentals of the Internet of Things, and how to map business requirements to effective 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 Facility Management (FM) and Data Visualization (DV), alerting/alarm systems, sensor and "thing" onboarding, and geo-fencing.
Mastering the 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.
This instructor-led, live training in Lyon (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.
This course offers comprehensive training on OpenStack. It initiates with a system introduction, followed by hands-on workshops that provide practical expertise in managing OpenStack-based private clouds. The program concludes with coverage of troubleshooting and advanced architectural topics. The primary objective is to familiarize learners with the OpenStack ecosystem while establishing a robust foundation for further cloud expansion and optimization. The curriculum encompasses all necessary subjects to prepare participants for the OpenStack Administrator Certificate exam.
This instructor-led live training (online or onsite) is tailored for system administrators and infrastructure engineers seeking to design, deploy, and manage private OpenStack cloud infrastructure for enterprise settings.
By the end of the course, participants will understand OpenStack architecture, deploy private cloud infrastructure, manage compute and storage resources, implement security via Keystone, and apply enterprise best practices.
This instructor-led live training in Lyon (online or in-person) targets intermediate-level IT leaders, architects, and governance professionals who wish to apply sovereign cloud strategy principles to design governance frameworks, select appropriate cloud architectures, and develop realistic cloud exit plans.
Upon completion 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 Lyon (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.
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Testimonials (9)
Caring for everyone's needs
Gabriel Mototolea - OSE
Course - Cloud Fundamentals
pacing for the most part was fantastic. Michal was very good at ensuring the audience were engaged and ensured everyone was following along for the most part
Asif Shaikh - Carpmaels & Ransford
Course - Terraform on Microsoft Azure
All of the training was great. Especially liked the training documentation to reference. Looking forward to the Advanced Training, when we are ready.
Amy Gregg - Qualfon
Course - Boomi Integration Fundamentals
Checking all the details in practice - by writing real code
Michal Pipala - EY
Course - Advanced Terraform: Efficient Infrastructure as Code
The part of the LAB. Trying failing redo success ... Is needed for courage that is needed to work with Nutanix.
Course - Terraform for Managing Cloud Infrastructure
The practical examples and going above and beyond with them.
Anamaria-Daniela Sprinceana
Course - Terraform : Advanced
It was a really good training course, well prepared and explained by the trainer with great hands on experience on GCP.
Mircea
Course - Google Cloud Platform Basics and Management
Ahmed's knowledge on the topics presented. The fact that he could provide real life examples and simplify abstract concepts in a manner that made the entire training very enjoyable.
Aurelian
Course - Cloud Essentials: Understanding the Fundamentals of Cloud Computing for Non-Developers
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