Cloud Computing Training in Faro

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

Migrating to AWS involves the systematic assessment, planning, and execution of moving applications, data, and infrastructure from on-premises environments or other cloud providers into AWS. This process utilizes established tools, proven patterns, and specialized migration services to ensure a smooth transition.

This instructor-led live training, available either online or onsite, is designed for intermediate-level IT professionals and cloud practitioners. The course aims to equip participants with the skills necessary to plan and execute safe, cost-efficient migrations to AWS while minimizing business disruption.

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

• Evaluate application portfolios and define appropriate migration strategies and sequential waves.
• Utilize AWS discovery tools and migration services, such as MGN and DMS, to facilitate lift-and-shift and database migrations.
• Design robust network, security, and data transfer architectures that support migration activities.
• Execute test cutovers, validate the integrity of migrated workloads, and implement effective rollback plans.
• Optimize migrated workloads to ensure cost-efficiency, optimal performance, and operational readiness.

Course Format

• Interactive lectures and group discussions.
• Instructor-led demonstrations using the AWS console and Command Line Interface (CLI).
• Practical hands-on labs and a capstone migration simulation.

Customization Options

• To request tailored training for this course, please contact us to arrange your needs.

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.

This instructor-led, live training in Faro (online or onsite) is aimed at intermediate-level data scientists and engineers who wish to use 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 Faro (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 Faro (online or onsite) is designed for intermediate-level developers aiming to master the creation and deployment of microservices using AWS Cloud9 and other AWS services.

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

• Grasp the concept of microservices architecture and its advantages.
• Configure a microservices development environment on AWS Cloud9.
• Construct, test, and deploy microservices employing Docker and AWS services.
• Integrate AWS Lambda, ECS, and API Gateway with microservices.
• Implement DevOps practices to oversee microservices deployments.

This instructor-led, live training in Faro (online or onsite) targets intermediate-level data scientists and analysts who wish to use AWS Cloud9 to streamline their data science workflows.

Upon completing this training, participants will be able to:

• Establish a data science environment in AWS Cloud9.
• Conduct data analysis using Python, R, and Jupyter Notebook within Cloud9.
• Integrate AWS Cloud9 with AWS data services such as S3, RDS, and Redshift.
• Utilize AWS Cloud9 for developing and deploying machine learning models.
• Optimize cloud-based workflows for efficient data analysis and processing.

This instructor-led, live training in Faro (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 Faro (online or onsite) is aimed at intermediate-level Python developers who wish to enhance their Python development experience using AWS Cloud9.

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

• Set up and configure AWS Cloud9 for Python development.
• Understand the AWS Cloud9 IDE interface and features.
• Write, debug, and deploy Python applications in AWS Cloud9.
• Collaborate with other developers using the AWS Cloud9 platform.
• Integrate AWS Cloud9 with other AWS services for advanced deployments.

This instructor-led, live training in Faro (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 Faro (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 Faro (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 Faro (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 Faro (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 Faro (online or onsite) is tailored for integration developers and system administrators at the intermediate to advanced levels who aim to acquire advanced Boomi techniques for constructing, managing, and deploying cloud-based solutions on integration platforms.

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

• Navigate AtomSphere and manipulate Boomi documents.
• Design and create complex integration processes to support advanced logic and data processing.
• Manage the deployment of integration processes, along with logging and reporting mechanisms.
• Identify and resolve errors effectively.
• Apply industry best practices and techniques for integration within the Boomi environment.

This instructor-led, live training in Faro (online or onsite) targets intermediate-level professionals eager to learn how to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

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

• Grasp the fundamentals of serverless architecture.
• Configure AWS Cloud9 for serverless application development.
• Create, test, and deploy serverless applications utilizing AWS Lambda.
• Integrate AWS Lambda with other AWS services, such as API Gateway and S3.
• Optimize serverless applications for both performance and cost-effectiveness.

This instructor-led, live training in Faro (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 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 an in-depth training on OpenStack networking. It begins with an introduction to OpenStack and its architecture, followed by a clarification of the core OpenStack projects: Identity service (Keystone), Image service (Glance), Compute service (Nova), and Block storage (Cinder). This foundation serves to describe the network environment within OpenStack, with a primary focus on the Networking project (Neutron). The course details the virtual network infrastructure, leveraging the Open Virtual Network project, Open vSwitch, and OpenFlow. The objective is to help participants understand the fundamental operations and architecture of OpenStack while becoming familiar with the various networking technologies underlying OpenStack, including expanded information on OVN, its flows, resources, and tools.

Customization options

The training can be condensed into a 2-day format, focusing on core aspects most relevant to the customer. Alternatively, the training can be extended to cover administrative, design, networking, and/or troubleshooting topics related to OpenStack deployments. Other underlying SDN solutions, such as Linux Bridge or OvS, can also be discussed.

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 Faro (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 Faro (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 Faro (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 Faro (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 Faro (online or onsite) is aimed at engineers who wish to use Terraform on GCP to plan and build cloud infrastructure.

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

• Install and configure Terraform on GCP.
• Implement an "infrastructure as code" approach to managing private and public 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 requirements.
• Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
• Improve transparency in the infrastructure procurement process.