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 on-site) targets intermediate IT professionals who wish to learn how to leverage AWS tools and services to efficiently build, train, and deploy AI models.

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

• Comprehend the AI/ML services offered by AWS.
• Set up and manage AI/ML environments on AWS.
• Acquire practical experience in building, training, and deploying AI models using Amazon SageMaker.
• Learn to apply various AWS AI services to specific use cases.

This instructor-led, live training in Évora (online or onsite) is designed for intermediate-level IT professionals aiming to develop the skills required 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 able to:

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

AWS Migration Essentials is a hands-on course designed to guide learners through the fundamental steps, tools, and best practices for migrating on-premises applications, servers, and databases to AWS.

This instructor-led, live training (available online or onsite) is tailored for intermediate IT professionals and cloud practitioners who want to assess, plan, execute, and validate migrations to AWS with minimal disruption to business operations.

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

• Define migration strategies and assess workload cloud readiness using discovery tools and migration frameworks.
• Utilize AWS Application Migration Service (MGN) to carry out lift-and-shift server migrations securely and efficiently.
• Plan and execute database migrations using AWS Database Migration Service with minimal downtime.
• Design network, security, and data transfer architectures to support migration and cutover activities.
• Validate migrated workloads, implement rollback plans, and apply post-migration optimization and cost controls.

Format of the Course

• Interactive lecture and discussion.
• Instructor-led demonstrations in the AWS console and CLI.
• Hands-on labs and a capstone migration scenario.

Course Customization Options

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

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

This instructor-led live training, available online or onsite, is designed for intermediate Python users seeking 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 able to:

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

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

AWS is Amazon’s cloud computing platform, offering a broad suite of services for computing, storage, networking, and application integration.

This instructor-led live training (available online or onsite) is designed for beginner-level cloud professionals seeking to master AWS fundamentals through practical experience.

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

• Grasp cloud computing concepts and understand AWS’s global infrastructure.
• Deploy and configure compute, storage, and networking services within AWS.
• Implement IAM policies and adhere to security best practices.
• Integrate various services to construct a basic cloud-based web application.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Practical implementation in a live-lab environment.

Course Customization Options

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

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.

Terraform is an open-source Infrastructure as Code (IaC) tool that enables the provisioning, management, and orchestration of cloud and on-premises resources using a declarative configuration language.

This instructor-led, live training (online or onsite) is aimed at beginner-level infrastructure and DevOps professionals who wish to learn Terraform fundamentals and apply IaC patterns to on-premises environments and Azure-managed virtual devices.

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

• Install and configure Terraform and essential tooling for on-premises and Azure integration.
• Author, validate, and apply Terraform configurations using HCL to create and manage infrastructure.
• Use remote state backends (Azure Storage) and state locking to collaborate safely.
• Manage Azure virtual devices (VMs, Virtual Desktop components) and on-prem resources via Terraform providers.
• Implement modules, variables, workspaces, and best practices for reusable IaC.
• Integrate Terraform with CI/CD pipelines and automate infrastructure deployments.
• Apply basic security, secrets management, drift detection, and operational practices for IaC in hybrid environments.

Format of the Course

• Interactive lecture and discussion.
• Guided hands-on labs and live demonstrations.
• Capstone project to design and deploy a sample on-prem + Azure device environment using Terraform.

Course Customization Options

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

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 designed for IT professionals at beginner to intermediate levels who wish to learn how to conduct an AWS security audit effectively and efficiently.

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

• Comprehending the fundamental concepts and advantages of AWS security audits.
• Utilizing AWS tools and services to conduct an AWS security audit.
• Analyzing and interpreting audit outcomes and recommendations.
• Applying audit findings to remediate identified issues.

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 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 Évora (online or onsite) is aimed at intermediate to advanced full-stack developers who wish to utilise AWS Cloud9 to streamline their development workflows.

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

• Set up and configure AWS Cloud9 for full-stack development.
• Develop and debug front-end applications using Cloud9.
• Build and deploy back-end services using AWS Cloud9.
• Integrate Cloud9 with AWS services for advanced deployments.
• Collaborate with team members in a cloud-based development environment.

This instructor-led live training in Évora (online or onsite) targets intermediate-level data engineers who wish to become proficient in using Azure Synapse Analytics for a wide range of data processing, analytics, and visualization tasks.

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

• Understand the core concepts, architecture, and components of Azure Synapse Analytics.
• Create, configure, and manage scalable data warehouses using Azure Synapse.
• Master the techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
• Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.

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.

This instructor-led, live training in Évora (online or onsite) is aimed at DevOps engineers with little or no previous experience managing infrastructure. Terraform will be used to automate the setup and deployment of infrastructure on and off the cloud.

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

• Install and configure Terraform.
• Implement an Infrastructure as Code approach to managing IT environments.
• Create, launch, and dismantle infrastructure from within a single tool.
• Write declarative configuration files that can be managed like any other source code in a version control system.
• Quickly update configuration files for effectively responding to changing compute resource needs.
• Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
• Improve transparency in the infrastructure procurement process.

This course is designed to familiarize participants with the OpenStack environment from both operational and administrative perspectives. Following a brief introduction to cloud computing, learners will set up their own OpenStack instance to perform practical operational and administrative tasks. The curriculum covers all fundamental OpenStack components, ranging from general architecture to cloud administration. Approximately 75% of the course consists of hands-on workshops conducted within a real OpenStack environment.

This instructor-led, live training in Évora offers a comprehensive overview of AWS products, services, and solutions. It is designed for individuals and teams who are:

• evaluating or preparing for an initial deployment of their IT infrastructure on AWS.
• evaluating or preparing to migrate their existing IT infrastructure to the AWS public cloud.

Upon completion of this training, participants will have a clear understanding of the key components that constitute Amazon's cloud offering. Through hands-on exercises, discussions, and in-class deployments, participants will gain the practical experience and feedback needed to feel confident and prepared to execute their own live deployments on AWS.

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

This intensive 7-day programme offers a comprehensive, hands-on exploration into the design, deployment, and operation of cloud-native applications through modern DevOps methodologies.

Participants will learn to architect scalable microservice systems, optimise containerised environments, and manage production workloads using Kubernetes. The curriculum encompasses advanced deployment techniques, GitOps-driven automation, and observability frameworks to guarantee system reliability and high performance.

Significant emphasis is placed on addressing real-world operational hurdles, such as incident management, failure simulation, and root cause analysis. The programme concludes with the integration of AI-powered tools designed to aid in troubleshooting and expedite operational decision-making processes.

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

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 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.

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

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

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 in Évora (online or onsite) targets intermediate-level IT leaders, architects, and governance professionals who wish to apply sovereign cloud strategy principles to design governance models, choose suitable cloud architectures, and prepare realistic cloud exit plans.

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

This instructor-led, live training in Évora (online or onsite) targets engineers who wish to use Terraform to plan and build cloud infrastructure.

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

• Install and configure Terraform.
• Implement an "infrastructure as code" approach to managing private and public cloud environments.
• Write declarative configuration files for more efficient change management and collaboration.
• Improve transparency in the infrastructure procurement process.
• Create, launch, and remove resources across different infrastructure providers (AWS, GCP, Azure, OpenStack, VMware, etc.) from within a single tool.