Cloud Computing Training in Stockholm

This instructor-led, live training in Stockholm (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:

• Grasp 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 Stockholm (available online or onsite) is designed for intermediate-level IT professionals who aim to acquire the skills necessary to deploy, manage, and operate workloads on Google Cloud while preparing for the Google Certified Associate Cloud Engineer certification.

Upon completing this training, participants will be capable of:

• Setting up and managing Google Cloud projects, resources, networking, and storage services.
• Deploying and administering applications using Compute Engine, Google Kubernetes Engine (GKE), Cloud Run, and App Engine.
• Configuring identity and access management, security controls, billing budgets, alerts, and cost monitoring.
• Provisioning and automating cloud infrastructure with Terraform and Cloud Build.
• Monitoring, troubleshooting, and optimizing Google Cloud environments using Cloud Monitoring and Cloud Logging.
• Understanding the capabilities of Vertex AI and Google Cloud AI services for typical business and operational use cases.

Google Colab Pro provides a cloud-based environment designed for scalable Python development, delivering high-performance GPUs, extended runtimes, and increased memory capacity to handle intensive AI and data science workloads.

This instructor-led live training, available online or onsite, targets intermediate Python users looking to leverage Google Colab Pro for machine learning, data processing, and collaborative research within a powerful notebook interface.

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

• Setting up and managing cloud-based Python notebooks via Colab Pro.
• Accessing GPUs and TPUs to accelerate computational tasks.
• Streamlining machine learning workflows with popular libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Integrating with Google Drive and external data sources for collaborative projects.

Course Format

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

Customization Options

• For tailored training on this course, please contact us to arrange your specific requirements.

This instructor-led, live training in Stockholm (online or on-site) 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 Stockholm (online or onsite) targets intermediate-level data scientists and engineers who intend to utilise 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 Stockholm (online or onsite) targets 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 Stockholm (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 Stockholm (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 Stockholm (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of reinforcement learning and its practical applications in AI development using Google Colab.

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

• Understand 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 Stockholm (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 Stockholm (online or onsite) is designed for advanced-level professionals seeking to deepen their understanding of machine learning models, refine their hyperparameter tuning skills, and master effective model deployment techniques with Google Colab.

Upon completing this training, participants will be able to:

• Implement advanced machine learning models using widely-used frameworks such as Scikit-learn and TensorFlow.
• Enhance model performance through effective hyperparameter tuning.
• Deploy machine learning models in practical, real-world scenarios using Google Colab.
• Collaborate on and manage large-scale machine learning projects within Google Colab.

Cloud computing offers a scalable and flexible approach to providing IT resources and services on demand.

This instructor-led live training, available either online or onsite, targets 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 capable of:

• Grasping foundational cloud principles across both AWS and Azure.
• Effectively configuring, securing, and managing Azure resources.
• Implementing AWS services related to compute, storage, networking, and security.
• Applying architectural best practices and integrating generative AI concepts for executive-level planning.

Course Format

• Instructor-guided sessions reinforced 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.

Customization Options

• To tailor the content to your organization's cloud roadmap, please contact us for customized training.

This instructor-led, live training in Stockholm (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 Stockholm (online or on-site) is designed for intermediate-level data scientists and developers who wish to understand and apply deep learning techniques using the Google Colab environment.

Upon completion 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 Stockholm (online or onsite) is designed for intermediate-level data engineers, cloud architects, and business intelligence professionals who aim to master data management within 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 stands as a leading virtualization platform, designed to drive modern data center infrastructures.

This instructor-led, live training (available online or onsite) targets intermediate IT professionals seeking to install, configure, and manage VMware vSphere environments, while preparing for VCP certification.

Upon completing the course, participants will possess the skills to:

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

Course Format

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

Customization Options

• For tailored VMware vSphere training solutions, please reach out to discuss customization options.

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

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

• Develop and maintain Terraform projects at scale.
• Demonstrate expertise with HCL and some of the more-advanced expression language capabilities and practices.
• Utilize various automation tools and processes for managing Terraform ops in continuous integration and delivery pipelines, including testing and quality assurance tools and processes.
• Act as an expert in any existing or new Terraform project or module.

This instructor-led, live training in Stockholm (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 within datacenters and hybrid cloud settings.

This instructor-led training session, available both online and onsite, is designed for IT professionals at beginner to intermediate levels who aim to master the installation, configuration, and administration of VMware vSphere environments.

Upon completing this training, participants will be equipped to:

• Install and configure ESXi hosts and vCenter Server.
• Provision and manage virtual machines (VMs) and vApps.
• Set up virtual networking and storage resources.
• Administer user permissions, monitoring tools, and perform basic troubleshooting.

Course Format

• Interactive lectures and discussions.
• Practical lab exercises and demonstrations.
• Real-world implementation scenarios.

Customization Options

• For bespoke training arrangements, please contact us directly.

This instructor-led, live training in Stockholm (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 Stockholm (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 stands as a premier virtualization platform, essential for constructing robust and resilient IT infrastructure.

This instructor-led live training, available both online and onsite, is designed for intermediate-level IT professionals seeking to develop practical skills in diagnosing and resolving issues within VMware vSphere environments.

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

• Identifying and resolving common issues related to virtual machines and vSphere services.
• Leveraging VMware tools to analyze and rectify performance and configuration challenges.
• Troubleshooting configurations for virtual networking and storage.
• Conducting root cause analysis within production environments.

Course Format

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

Customization Options

• To request a tailored training session for this course, please reach out to us to make arrangements.

This instructor-led, live training in Stockholm (online or on-site) is designed for integration developers and system administrators with intermediate to advanced skills who want to master advanced Boomi techniques for building, managing, and deploying cloud-based solutions on integration platforms.

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

• Navigate AtomSphere and effectively manage Boomi documents.
• Design and create complex integration processes for advanced logic and data processing.
• Deploy integration processes, manage logging, and generate reports.
• Identify and resolve errors.
• Implement best practices and techniques for seamless Boomi integration.

This instructor-led live training in Stockholm (online or onsite) targets beginner-level data scientists and IT professionals wishing 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 Stockholm (online or onsite) is designed for 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 live, instructor-led training in Stockholm (available online or onsite) is designed for intermediate-level developers, system administrators, and cloud architects looking to utilize NoCloud for their cloud solutions.

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

• Set up a development environment encompassing NoCloud, Docker, Kubernetes, and Helm.
• Create and manage cloud services through NoCloud.
• Comprehend the lifecycle of a cloud service within the NoCloud ecosystem.
• Integrate NoCloud with pre-existing infrastructure or virtual resources.
• Resolve common issues arising in a NoCloud environment.

This instructor-led live training in Stockholm (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 Stockholm (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 primary objective of this course is to provide a comprehensive understanding of the OpenStack environment, addressing both operational and administrative perspectives. Following a concise overview of cloud computing fundamentals, participants will be provisioned with their own OpenStack instance to engage in practical operational and administrative tasks. The curriculum encompasses all essential OpenStack components, ranging from high-level architecture to day-to-day cloud administration. With approximately 75% of the course dedicated to hands-on workshops within a live OpenStack environment, learners gain valuable real-world experience.

This course offers comprehensive training on OpenStack. It begins with an introduction to the system, progresses through hands-on workshops to provide practical knowledge for managing OpenStack-based private clouds, and concludes with troubleshooting and advanced architectural topics. The primary goal is to familiarize participants with the OpenStack ecosystem while establishing a strong foundation for further cloud expansion and optimization. The curriculum covers all subjects required for the OpenStack Administrator certification exam, with 75% of the course dedicated to 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 provides in-depth training on OpenStack networking. It begins with an introduction to OpenStack and its architecture, followed by a clarification of core OpenStack projects: the Identity service (Keystone), Image service (Glance), Compute service (Nova), and Block storage (Cinder). This context helps describe the networking environment within OpenStack, with a primary focus on the Networking project (Neutron). The virtual network infrastructure is explained, drawing on the Open Virtual Network project, Open vSwitch, and OpenFlow. The course aims to help participants understand the basic operations and architecture of OpenStack while familiarizing them with the networking technologies underlying OpenStack, including extended information on OVN, flow tables, resources, and tools.

Customization options

The training can be condensed into a 2-day program focusing on core aspects relevant to the customer. Alternatively, the training can be expanded to cover administrative, design, networking, and/or troubleshooting topics related to OpenStack deployments. It is also possible to explore other underlying SDN solutions such as Linux Bridge or OvS.

This instructor-led, live training Stockholm (on-site or remote) is targeted at engineers who want 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 Stockholm (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 Stockholm (online or onsite) is targeted at integration developers, system administrators, 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 with cloud computing unveils the essential pathway to mastering modern infrastructure. This course explores core paradigms, including 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 such as AWS, Azure, and Google Cloud, covering compute services, virtual networks, managed databases, and serverless deployments, thereby building confidence in designing high-availability solutions across public cloud ecosystems.

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

Attendees will investigate techniques for architecting scalable microservices, refining container environments, and overseeing production workloads via Kubernetes. The curriculum encompasses sophisticated deployment strategies, GitOps-driven automation, and observability frameworks designed to guarantee system reliability and peak performance.

The programme places significant emphasis on tackling real-world operational hurdles, such as incident response, failure simulation, and root cause analysis. It concludes by leveraging AI-powered tools to facilitate troubleshooting and expedite operational decision-making.

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

This course is tailored to equip non-technical professionals—such as managers, business analysts, QA testers, and operations staff—with a solid foundational knowledge of cloud computing. Participants will delve into the core concepts, advantages, and real-world applications of the cloud to facilitate more informed decision-making and actively contribute to cloud migration efforts. The curriculum emphasizes demystifying cloud terminology, contrasting cloud and on-premises infrastructure, comprehending service models, and appreciating the cloud's influence on various organizational roles.

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

• Comprehending the primary definitions and terminology associated with cloud computing
• Identifying various cloud service models (IaaS, PaaS, SaaS)
• Distinguishing between cloud deployment models (Public, Private, Hybrid, Multi-Cloud)
• Contrasting on-premises infrastructure with cloud-based solutions
• Understanding cloud advantages such as scalability, agility, availability, and cost-efficiency
• Recognizing prominent cloud platforms (AWS, Azure, GCP) and their respective service offerings
• Grasping cloud responsibility frameworks, including the shared responsibility model and role-based access
• Understanding how the cloud influences software testing, deployment, and monitoring processes
• Participating effectively in cloud adoption and migration projects
• Appreciating the basics of cloud security, compliance, and governance principles

This three-day training program is designed to equip participants with a robust understanding of cloud computing concepts, combined with practical experience using leading cloud platforms: AWS, Microsoft Azure, and Google Cloud Platform (GCP). The course is divided into four sessions, each dedicated to one of the major cloud providers, starting with an initial session on general cloud computing principles. By the end of this course, participants will have a clear grasp of cloud 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 Stockholm (online or onsite) targets IT architects and consultants seeking to apply best practices for cloud infrastructure and services.

By the conclusion 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 Stockholm (online or onsite) targets cloud administrators, cloud architects, technology leaders, and financial analysts who wish 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 apply FinOps practices within an organization to forecast costs, optimize processes, and perform financial management operations in the cloud.

Summary:

• Grasping IoT architecture and its fundamental functions.
• Investigating the concepts of "Things" and "Sensors," the Internet of Things, and aligning business functions with IoT solutions.
• A thorough review of IoT software elements: hardware, firmware, middleware, cloud infrastructure, and mobile apps.
• Core IoT capabilities: fleet management, data visualization, SaaS-based facility and data visualization, alerting systems, onboarding sensors and "things," and geo-fencing.
• Basics of IoT device-to-cloud communication via MQTT.
• Linking IoT devices to AWS using MQTT and AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for processing and Amazon DynamoDB for data storage.
• Establishing a connection between a Raspberry Pi and AWS IoT Core for efficient data exchange.
• Practical laboratory session: constructing a smart device using Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and communicating via web interfaces.

This instructor-led, live training in Stockholm (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 provides comprehensive training on OpenStack. It starts with an introduction to the system, followed by practical workshops that equip participants with the skills to manage private clouds based on OpenStack. The program concludes with troubleshooting techniques and advanced architectural topics. The primary objective is to familiarize learners with the OpenStack ecosystem while establishing a solid foundation for further expansion and optimization of OpenStack clouds. The course covers all necessary topics to prepare for the OpenStack Administrator Certificate exam.

This instructor-led, live training (available online or on-site) 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 Stockholm (online or onsite) targets intermediate-level IT leaders, architects, and governance professionals who wish 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 build a practical exit roadmap.

This instructor-led, live training in Stockholm (online or on-site) targets intermediate-level virtualization administrators who wish to utilize 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.