Cloud Computing Training in Cascais

This instructor-led, live training in Cascais (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 Cascais (online or onsite) targets intermediate-level Java developers, software engineers, and cloud enthusiasts eager to harness the power of Azure OpenAI to create intelligent applications.

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

• Grasping the core principles of Generative AI and its practical applications.
• Provisioning and managing Azure OpenAI services.
• Integrating OpenAI models into Java-based applications.
• Deploying AI-driven features within web applications.

This instructor-led, live training in Cascais (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 Cascais (online or onsite) targets intermediate data scientists and healthcare professionals keen on leveraging AI for advanced medical applications via Google Colab.

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

• Deploy AI models for healthcare using Google Colab.
• Use AI for predictive modelling in healthcare data.
• Analyze medical images with AI-driven techniques.
• Explore ethical considerations in AI-based healthcare solutions.

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

This instructor-led, live training in Cascais (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 Cascais (online or onsite) is aimed at beginner-level developers who wish to set up and use AWS Cloud9 for cloud-based projects.

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

• Understand the AWS Cloud9 environment and its components.
• Set up their own AWS Cloud9 development workspace.
• Develop and run simple applications within AWS Cloud9.
• Familiarize themselves with the collaboration features of AWS Cloud9.

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 Cascais (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 Cascais (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 Cascais (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 Cascais (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.

This instructor-led, live training in Cascais (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 Cascais (online or onsite) is aimed at intermediate-level data engineers who wish to learn how to use Azure Data Lake Storage Gen2 for effective data analytics solutions.

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

• Understand the architecture and key features of Azure Data Lake Storage Gen2.
• Optimize data storage and access for cost and performance.
• Integrate Azure Data Lake Storage Gen2 with other Azure services for analytics and data processing.
• Develop solutions using the Azure Data Lake Storage Gen2 API.
• Troubleshoot common issues and optimize storage strategies.

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

In this instructor-led, live training in Cascais (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.

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

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

The on-demand AWS Architect Certification training course is designed to empower professionals to master cloud solutions using Amazon Web Services. Delivered through real-world examples, this program enables participants to grasp the practical application of key concepts, including cloud computing fundamentals, AWS infrastructure, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), private clouds, and cloud programming. Upon completion, learners will possess the skills to implement their own cloud solutions using services such as EC2 instances and S3 buckets.

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 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.

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 Cascais (online or onsite) is aimed at engineers who wish to use AWS CloudFormation to automate the process of managing AWS cloud infrastructure.

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

• Activate AWS services to begin managing infrastructure.
• Understand and apply the concept of "infrastructure as code".
• Enhance quality and reduce the costs associated with deploying infrastructure.
• Create AWS CloudFormation Templates using YAML.

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 Cascais (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 Cascais (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 Cascais (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 Cascais (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.