Cloud Computing Training in Évora

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

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

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

This instructor-led, live training in Évora (online or onsite) is designed for intermediate-level IT professionals aiming to build expertise in managing cloud infrastructure and services on Google Cloud.

Upon completion 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 resources.
• Deploy and monitor applications within GCP environments.
• Implement security best practices and identity management strategies.
• Utilize Google Cloud tools for automation and troubleshooting.

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

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

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

This instructor-led, live training in Évora (online or onsite) targets 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.

Cloud computing offers a scalable and flexible model for delivering IT resources and services on demand.

This instructor-led live training, available online or onsite, is designed for cloud practitioners ranging from beginner to advanced levels who wish to master AWS and Azure technologies while preparing for globally recognised certifications.

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

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

Format of the Course

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

Course Customisation Options

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

This instructor-led, live training in Évora (available online or onsite) is designed for intermediate-level data engineers, cloud architects, and business intelligence professionals aiming to master data management within industry-specific cloud environments.

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

• Grasp the fundamental principles and components of data fabrics.
• Design and deploy data integration and orchestration solutions.
• Uphold data quality and governance standards within industry cloud platforms.
• Leverage data fabrics to facilitate industry-specific data analysis and strategic decision-making.
• Remain abreast of emerging trends and technologies in cloud data management.

This instructor-led, live training in Évora (online or onsite) is targeted at IT professionals, business analysts, and project managers at the beginner level who wish to grasp the fundamentals of cloud computing and its applications across 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.
• Recognise 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 Évora (online or onsite) is designed for intermediate-level cloud engineers and operations managers seeking to improve their cloud infrastructure management via 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 Évora (online or onsite) is aimed at IT professionals who wish to learn the fundamentals of Alibaba Cloud and how to use its cloud computing services.

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

• Understand the Alibaba Cloud solution architecture.
• Learn about the Alibaba Cloud core products and services.
• Understand the capabilities of Alibaba Cloud in dealing with big data and databases.

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

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

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

This instructor-led, live training in Évora (online or onsite) is designed for developers, system administrators, and cloud enthusiasts wishing to acquire practical knowledge of OpenNebula and apply it to 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.

In this instructor-led live training held in Évora, participants will learn how to establish and manage a production-scale container environment using Kubernetes on Google Cloud.

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

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

This instructor-led, live training in Évora (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data.

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

• Install and configure Power BI.
• Evaluate the various data solutions offered by cloud providers such as Azure.
• Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
• Apply tools and techniques to clean data in preparation for analysis.
• Build reporting and analytics solutions based on on-premise as well as cloud data.
• Integrate data analytics solutions with a data warehouse.
• Mitigate data security risks and ensure data privacy.

This instructor-led, live training in Évora (online or on-site) is aimed at developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices.

By the end of this training, participants will be able to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.

Target Audience

Software Engineers and Computer Scientists who possess a solid understanding of algorithms and proficiency in at least one programming or scripting language, but lack practical experience with Cloud Computing.

This instructor-led, live training in Évora (online or onsite) is aimed at sysadmins or IT administrators who wish to use Citrix Hypervisor to deploy, manage, and optimize data center virtualization across desktop, servers, and cloud.

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

• Set up the necessary environment to start managing desktop, server, and cloud virtualization with Citrix Hypervisor.
• Simplify virtualization management and operations by utilizing the full features and architecture of Citrix Hypervisor.
• Configure and manage the Citrix Hypervisor environment using XenCenter and CLI commands.
• Learn how to install, configure, and manage virtual machines, GPUs, and storage repositories.
• Optimize the overall performance of Citrix Hypervisor pools by implementing high availability and workload balancing.

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

Attendees will investigate techniques for architecting scalable microservices infrastructures, refining container environments, and handling production workloads via Kubernetes. The curriculum encompasses sophisticated deployment tactics, GitOps-driven automation, and observability strategies to guarantee system dependability and efficiency.

Significant emphasis is placed on addressing practical operational difficulties, such as incident handling, failure simulation, and root cause analysis. The programme finishes by integrating AI-powered tools to facilitate troubleshooting and expedite operational decision-making.

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

Day 1 offers comprehensive coverage of fundamental cloud computing principles, linking them to both technological foundations and business implications. This module is organized into distinct sections, each supported by practical, hands-on exercises.

Day 2 delves into technology-centric aspects of cloud computing platforms. Rather than focusing on implementation specifics or coding, the content remains at a conceptual level, emphasizing cloud service architecture, security threats and countermeasures, virtualization techniques, and data processing strategies.

Day 3 provides technical insight into core cloud computing platforms. It examines Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS) environments as complex patterns composed of distinct and shared building blocks. Structured as a guided exploration of these architectural layers, the module describes primary and shared components, explaining how they are assembled and implemented through cloud computing mechanisms and best practices.

Day 4 expands on Day 3 to explore elastic, resilient, and multitenant technology architectures, alongside specialized solution architectures such as cloud bursting and cloud balancing. By studying architectural mechanisms, industry technologies, and design patterns, the course details the core and extended components that enable elasticity, resiliency, and multitenancy—key characteristics of cloud platforms. Leveraging native and enhanced scalability and failover features, it describes specialized architectures that facilitate bursting between clouds and on-premise environments, as well as the balancing of runtime loads across clouds for optimal performance and reliability.

Day 5 presents participants with a series of exercises and problem-solving scenarios designed to assess their ability to apply the knowledge acquired throughout the course.

This instructor-led live training in Évora (online or onsite) is designed for technical professionals seeking a practical understanding of available cloud solutions, the data analysis processes required for working with cloud data, and hands-on practice applying tools such as Power BI for data analysis.

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

• Installing and configuring Power BI.
• Assessing the diverse data solutions provided by cloud vendors such as Azure.
• Understanding the various structures, modeling techniques, and data warehouse architectures employed to store, manage, and access Big Data.
• Utilizing tools and methods to cleanse data in preparation for analysis.
• Developing reporting and analytics solutions leveraging both on-premise and cloud data sources.
• Integrating data analytics solutions with a data warehouse.
• Mitigating data security risks and ensuring data privacy.

This course is crafted to equip non-technical professionals—including managers, business analysts, QA testers, and operations staff—with a solid foundational knowledge of cloud computing. Participants will delve into the core principles, advantages, and practical uses of cloud technology to make more informed decisions and actively support cloud migration efforts. The curriculum focuses on clarifying cloud terminology, contrasting cloud and on-premise infrastructure, understanding service models, and appreciating how cloud technology affects various organizational roles.

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

• Grasping the essential 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)
• Comparing on-premises infrastructure with cloud-based solutions
• Understanding cloud benefits such as scalability, agility, availability, and cost efficiency
• Recognizing leading cloud platforms (AWS, Azure, GCP) and their respective service offerings
• Comprehending cloud responsibility frameworks, including the shared responsibility model and role-based access
• Appreciating the influence of cloud computing on software testing, deployment, and monitoring
• Contributing effectively to cloud adoption and migration projects
• Understanding the basics of cloud security, compliance, and governance principles

This instructor-led, live training in Évora (online or onsite) is aimed at system administrators, DevOps professionals, and developers who wish to use CloudForms to manage virtual infrastructures via a centralized interface.

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

• Install and configure CloudForms on different virtual machine and cloud platforms (OpenStack, OpenShift, and VMware).
• Create a centralized management interface for monitoring multiple clusters.
• Enhance the security control and configuration policies of an entire infrastructure.
• Transform a distributed virtual infrastructure into a unified hybrid environment.
• Optimize workload performance and efficiency by automating orchestration and workflows.

This intensive 3-day course is designed to equip participants with a robust understanding of cloud computing principles, complemented by practical, hands-on experience across the top cloud providers: AWS, Microsoft Azure, and Google Cloud Platform (GCP). The curriculum is divided into four sessions, with the first dedicated to core cloud concepts, followed by deep dives into each major platform. Upon completion, learners will possess a clear grasp of cloud fundamentals, intimate knowledge of platform architectures and services, and the practical skills required to deploy and manage resources in real-world environments.

This instructor-led live training in Évora (online or onsite) is designed for IT architects and consultants seeking to apply best practices for cloud infrastructure and services.

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

• Utilize cloud infrastructure and services for business implementation.
• Implement advanced cloud security measures aligned with Cloud Security Alliance standards.
• Migrate legacy systems to the cloud by leveraging the synergy between SOA and PaaS.
• Automate the on-demand provisioning of resources for asynchronous cloud services.

• Gain foundational knowledge of Citrix Virtual Apps and Desktops 7
• Learn how to install, configure, and manage a Citrix Virtual Apps and Desktops 7 site and Cloud connectors
• Understand the considerations and differences between Citrix Virtual Apps and Desktops on-premises and the Citrix Virtual Apps and Desktops Service
• Discover how to deliver app and desktop resources

Designed for cloud administrators, cloud architects, technology leaders, and financial analysts, this instructor-led live training in Évora (online or on-site) equips participants with the skills to record, manage, monitor, and process organisational financial assets within cloud environments.

Upon completion of this training, participants will be adept at applying FinOps methodologies to forecast costs, streamline processes, and execute financial management tasks in the cloud.

This instructor-led, live training in Évora (online or onsite) is designed for cloud engineers who wish to store objects and unstructured data using MinIO.

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

• Use the MinIO Client as an alternative to Unix Commands.
• Utilize MinIO to build high-performance infrastructures for machine learning, analytics, and more.
• Deploy MinIO on Kubernetes for orchestrated scaling.

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

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

Terraform is an open-source infrastructure-as-code tool that enables teams to define and provision data centre infrastructure using a declarative configuration language. When combined with self-hosted backends and on-premise providers, Terraform becomes a powerful instrument for sovereign infrastructure management, effectively eliminating dependency on cloud vendors.

This instructor-led, live training (available online or onsite) is designed for intermediate infrastructure engineers looking to leverage Terraform to manage self-hosted environments, including Proxmox, VMware, libvirt, and bare-metal provisioning.

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

• Write robust Terraform configurations for on-premise and hybrid resources.
• Securely manage state using self-hosted backends such as PostgreSQL, S3-compatible storage, and Gitea.
• Utilize provisioners and custom providers to manage the entire bare-metal lifecycle.
• Implement efficient workspaces, modular architectures, and variable hierarchies.
• Integrate Terraform into CI/CD pipelines for automated infrastructure delivery.

Course Format

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

Course Customization Options

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