Cloud Computing Training in Nantes

This instructor-led, live training in Nantes (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 Nantes (available online or onsite) is designed for intermediate-level IT professionals who want to develop the skills needed to deploy, manage, and operate workloads on Google Cloud while preparing for the Google Certified Associate Cloud Engineer certification.

Upon completion 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, 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.

This instructor-led, live training conducted in Nantes (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 Nantes (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 Nantes (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 Nantes (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 Nantes (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.
• Deploy and configure databases on GCP.

This live, instructor-led training in Nantes (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 Nantes (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 Nantes (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.

This instructor-led live training in Nantes (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 Nantes (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 Nantes (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.

This instructor-led, live training in Nantes (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 Nantes (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.
• Optimize cloud costs using AI-powered analytics.
• Enhance cloud security with AI-driven monitoring.

This instructor-led live training in Nantes (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.

This instructor-led, live training in Nantes (online or onsite) is tailored for DevOps engineers, system administrators, and system architects at beginner to advanced levels who wish to enhance their Terraform skills and proficiency in managing complex infrastructure deployments.

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

• Develop and maintain Terraform projects at scale.
• Demonstrate expertise in HCL, including advanced expression language capabilities and best practices.
• Utilize various automation tools and processes to manage Terraform operations within continuous integration and delivery pipelines, encompassing testing and quality assurance methodologies.
• Serve as an expert in any existing or new Terraform project or module.

This instructor-led, live training in Nantes (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.

This instructor-led, live training in Nantes (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 Nantes (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.

This instructor-led live training, available in Nantes (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 Nantes (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:

• 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 Nantes (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 Nantes (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 Nantes (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 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 instructor-led live training in Nantes (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 Nantes (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 Nantes (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.

This seven-day program offers a comprehensive, hands-on journey into designing, deploying, and managing cloud-native applications through modern DevOps practices.

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

A strong emphasis is placed on real-world operational challenges, including incident response, failure simulation, and root cause analysis. The program 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 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 Nantes (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 training, offered in Nantes (online or on-site), targets cloud administrators, cloud architects, technology heads, and financial analysts who wish to record, manage, monitor, and process organizational financial assets within the cloud.

By the end of this training, participants will be capable of implementing FinOps practices in their organization to forecast costs, optimize processes, and carry out financial management operations in the cloud.

This live, instructor-led training in Nantes is tailored for beginner-level business professionals seeking to prepare for the Google Cloud Digital Leader certification.

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

• Explain how Google Cloud drives digital and data transformation.
• Describe Google Cloud's AI/ML, infrastructure, security, and operations from a business perspective.
• Prepare for the certification exam using mock questions and structured reviews.

This instructor-led live training in Nantes (online or onsite) targets 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 who wish to design, deploy, and manage private OpenStack cloud infrastructure for enterprise environments.

By the end of this course, 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 Nantes (online or onsite) targets intermediate-level IT leaders, architects, and governance professionals aiming to apply sovereign cloud strategy principles to design governance models, select 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 construct a practical exit roadmap.

This instructor-led, live training in Nantes (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.