Cloud Computing Training in Almada

This instructor-led, live training in Almada (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 Almada (online or onsite) is aimed at intermediate-level IT professionals who wish to gain expertise in managing cloud infrastructure and services on Google Cloud.

By the end 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.
• Deploy and monitor applications in GCP environments.
• Implement security best practices and identity management.
• Use Google Cloud tools for automation and troubleshooting.

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

AWS Cloud Practitioner Essentials is a foundational course designed to provide participants with a broad understanding of AWS Cloud concepts, services, security, architecture, pricing, and support.

This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to understand AWS at a conceptual level and build a solid foundation for future AWS learning or certification.

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

• Describe the basic global infrastructure of the AWS Cloud.
• Explain key AWS services and their common use cases.
• Understand cloud security and compliance within AWS.
• Navigate pricing models and support plans.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of AWS Console in guided exercises.
• Practical activities and knowledge checks aligned with the AWS exam guide.

Course Customization Options

• To request a customized training for this course based on your organization’s learning goals or cloud strategy, please contact us to arrange.

Cloud Computing is a scalable, flexible model for delivering IT resources and services on demand.

This instructor-led, live training (online or onsite) is aimed at beginner-level to advanced-level cloud practitioners who wish to master AWS and Azure technologies while preparing for globally recognized certifications.

Upon completion of this program, 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 Customization Options

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

This instructor-led, live training in Almada (online or onsite) is aimed at intermediate-level data engineers, cloud architects, and business intelligence professionals who wish to master data management in 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.

This instructor-led, live training in Almada (online or onsite) is aimed at beginner-level IT professionals, business analysts, and project managers who wish to understand the fundamentals of cloud computing and its applications in various industries.

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

• Identify the key characteristics and benefits of cloud computing.
• Understand the differences between various cloud service and deployment models.
• Recognize the importance of industry-specific cloud solutions.
• Assess the security and compliance aspects of cloud platforms.
• Explore emerging trends and future directions in cloud technology.

This instructor-led, live training in Almada (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.

VMware vSphere: Operate, Scale and Secure expands 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 Almada (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 Almada (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 Almada (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.

In this instructor-led, live training in Almada, participants will learn how to set up 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 Almada (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 (online or onsite) is aimed at engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organization.

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

• Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
• Set up, configure and deploy a series of demo containers using a number of different approaches.
• Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
• Automate the deployment of Docker containers.
• Set up a continuous integration and deployment pipeline.
• Integrate Docker and Kubernetes into an existing continuous integration system.

Audience:

Cloud engineers, Solution architects, Centre of excellence team, Window server administrators, Unix/Linux administrator, Storage administrators, network administrators, Virtualization administrators

Course Objectives:

This course is designed to teach you how to:

• Use the principal concepts and practices behind the DevOps methodology
• Design and implement an infrastructure on AWS that supports one or more DevOps development projects
• Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
• Use AWS CodeCommit and understand the array of options for enabling a Continuous Integration environment on AWS
• Use AWS CodePipeline to design and implement a Continuous Integration and Delivery pipeline on AWS
• Implement several common Continuous Deployment use cases using AWS technologies, including blue/green deployment and A/B testing
• Distinguish between the array of application deployment technologies available on AWS (including AWS CodeDeploy, AWS Opsworks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry), and decide which technology best fits a given scenario
• Fine tune the applications you deliver on AWS for high performance and use AWS tools and technologies to monitor your application and environment for potential issues

Audience

Software Engineer/Computer Scientists with adequate concepts of algorithms and familiarity with at least one programming/scripting language but without any experience of Cloud Computing

This instructor-led, live training in Almada (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.

Day 1 - provides end-to-end coverage of fundamental cloud computing topics as they relate to both technology and business. The module is divided into a series of sections, each of which is accompanied by a hands-on exercise.

Day 2 - explores technology-related topics that relate to cloud computing platforms. It does not get into implementation or programming details, but instead keeps coverage at a conceptual level, focusing on topics that address cloud service architecture, cloud security threats and technologies, virtualization and data processing.

Day 3 - provides a technical insight into foundational cloud computing platforms. Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) environments are explored as compound patterns, comprised of unique and shared building blocks. This module is structured as a guided tour through these architectural layers, describing primary components, highlighting shared components and explaining how building blocks can be assembled and implemented via cloud computing mechanisms and practices

Day 4 - builds upon Day 3 to provide a deep dive into elastic, resilient and multitenant technology architectures, as well as specialized solution architectures, such as cloud bursting and cloud balancing. Through the study of architectural mechanisms, industry technologies and design patterns, both core and extended components are described that combine to realize elasticity, resiliency and multitenancy as primary characteristics of cloud platforms. By leveraging these native and enhanced scalability and failover-related feature-sets, specialized solution architectures are described to enable bursting between clouds and on-premise and cloud environments, as well as the balancing of runtime loads across clouds for performance and failover purposes.

Day 5 - presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered previously.

This course has been created for people who want to understand how to benefit from cloud computing. It uses Amazon EC2 example, but can be tailored to other providers.

Audience

IT architects, mid-level IT managers, IT consultants

Format of the course

Currently 100% lectures.

This instructor-led, live training in Almada (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 course is designed to empower non-technical professionals—such as managers, business analysts, QA testers, and operations personnel—with a foundational understanding of cloud computing. Participants will explore the core concepts, benefits, and practical applications of the cloud to make more informed decisions and contribute effectively to cloud migration initiatives. Emphasis will be placed on demystifying cloud jargon, comparing cloud and on-premise infrastructure, understanding service models, and recognizing how cloud impacts various roles within an organization.

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

• Understand the key definitions and terminology of cloud computing
• Identify different cloud service models (IaaS, PaaS, SaaS)
• Differentiate between cloud deployment models (Public, Private, Hybrid, Multi-Cloud)
• Compare on-premises vs. cloud-based infrastructure
• Understand cloud advantages: scalability, agility, availability, and cost-efficiency
• Recognize common cloud platforms (AWS, Azure, GCP) and their service offerings
• Comprehend cloud responsibilities: shared responsibility model and role-based access
• Grasp the impact of cloud on software testing, deployment, and monitoring
• Participate effectively in cloud adoption and migration projects
• Appreciate cloud security basics, compliance, and governance principles

This instructor-led, live training in Almada (online or onsite) is aimed at sysadmins, DevOps, and developers who wish to use CloudForms to manage virtual infrastructures in 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 instructor-led, live training in Almada (online or onsite) is aimed at IT architects and IT consultants who wish to employ the best practices for cloud infrastructure and services.

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

• Leverage cloud infrastructure and services for business implementation.
• Apply advanced cloud security with Cloud Security Alliance standards.
• Migrate legacy systems into the cloud using SOA and Paas synergy.
• Automate on demand resource provisioning for asynchronous cloud services.

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

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

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

• Provide an alternative to Unix Commands with the MinIO Client.
• Use MinIO to build high performance infrastructures for machine learning, analytics, and more.
• Deploy MinIO on Kubernetes for orchestrated deployment to scale.

This instructor-led, live training in (online or onsite) is aimed at engineers who wish to use Terraform on AWS to plan and build cloud infrastructure.

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

• Install and configure Terraform on AWS.
• Implement an "infrastructure as code" approach to managing AWS cloud 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.