Cloud Computing Training Courses

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Cloud Computing Training Courses

Online or onsite, instructor-led live Cloud Computing training courses demonstrate through hands-on practice the fundamentals of cloud computing and how to benefit from cloud computing.

Cloud Computing training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Cloud Computing training can be carried out locally on customer premises in the US or in NobleProg corporate training centers in the US.

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Cloud Computing Subcategories

Amazon Web Services (AWS) Training CoursesAmazon Web Services (AWS)
Tinkerbell Training CoursesTinkerbell
Azure Training CoursesAzure
Terraform Training CoursesTerraform
OpenStack Training CoursesOpenStack
Cloud Foundry Training CoursesCloud Foundry
Cloud Based Integration Training CoursesCloud Based Integration
Serverless Computing Training CoursesServerless Computing
Infrastructure as a Service (IaaS) Training CoursesInfrastructure as a Service (IaaS)
Nextcloud Training CoursesNextcloud
Bluemix Training CoursesBluemix
Red Hat Ceph Storage Training CoursesRed Hat Ceph Storage
GlusterFS Training CoursesGlusterFS
VMware Training CoursesVMware
CloudForms Training CoursesCloudForms
Citrix Hypervisor Training CoursesCitrix Hypervisor
Boomi Training CoursesBoomi
OpenNebula Training CoursesOpenNebula
NoCloud Training CoursesNoCloud

Cloud Computing Course Outlines

Course Name
Duration
Overview
Course Name
Duration
Overview

Alibaba Cloud Fundamentals

7 hours
This instructor-led, live training in the US (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.

AWS Financial Management for Builders

21 hours
This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level cloud architects and developers who wish to gain the knowledge and tools necessary to efficiently manage and optimize AWS costs, aligning cloud spending with business objectives. By the end of this training, participants will be able to:
  • Understand how AWS pricing works and how different services contribute to overall costs.
  • Learn how to implement cost-saving measures, utilize reserved instances, and optimize resource usage.
  • Develop skills to create, manage, and adhere to budgets within the AWS framework.

AWS Cloud Security

21 hours
This instructor-led, live training in the US (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and skills required to secure Amazon Web Services (AWS) environments effectively. By the end of this training, participants will be able to:
  • Understand the core concepts of AWS Cloud Security and its importance in a cloud environment.
  • Implement effective access controls, authentication mechanisms, and multi-factor authentication to secure AWS resources.
  • Define and enforce security policies and monitor AWS resources.

Developing Serverless Solutions on AWS

21 hours
This instructor-led, live training in the US (online or onsite) is aimed at developers who wish to build serverless applications using services in the AWS serverless platform. By the end of this training, participants will be able to:
  • Implement event-driven best practices in designing serverless applications using appropriate AWS services.
  • Build serverless applications using AWS services.
  • Monitor, secure, and scale serverless applications on AWS.
  • Utilize different developer tools to configure and automate serverless application deployment.
  • Create and maintain a list of serverless resources that will aid in serverless application development.

Azure Cloud Security Basic to Advanced

35 hours
This instructor-led, live training in the US (online or onsite) is aimed at security administrators who wish to learn how to configure Azure cloud security to secure workloads running in Azure. By the end of this training, participants will be able to:
  • Configure host and network security.
  • Configure Azure advanced security options.
  • Use Azure to secure cloud computing workloads.
  • Use endpoint protection services security against malware and viruses.
  • Secure container workloads that are running in Azure.

Boomi Developer Advanced

28 hours
This instructor-led, live training in the US (online or onsite) is aimed at intermediate to advanced-level integration developers and system administrators who wish to learn advanced Boomi techniques for building, managing, and deploying cloud-based solutions on integration platforms. By the end of this training, participants will be able to:
  • Use AtomSphere and work with Boomi documents.
  • Create and design complex integration processes for advanced logic and data processing.
  • Manage deploy integration processes, logging, and reporting.
  • Capture and handle errors.
  • Apply best practices and techniques for integrating with Boomi.

OpenNebula Cloud Computing

21 hours
This instructor-led, live training in the US (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.

Building Cloud Services with NoCloud

28 hours
This instructor-led, live training in the US (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.

Kubernetes on Azure (AKS)

14 hours
In this instructor-led, live training in the US (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.

Kubernetes on AWS

14 hours
EKS is a self-managed Kubernetes-as-a-service offering from AWS. EKS is fully scalable and customizable and allows a Kubernetes deployment to mimic and/or integrate with an existing on-premise Kubernetes setup. In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on EKS.  By the end of this training, participants will be able to:
  • Configure and manage Kubernetes on EKS
  • Migrate an existing Kubernetes environment from on-premise to AWS cloud
  • Integrate Kubernetes with third-party continuous integration (CI) software
  • Ensure high availability and disaster recovery in Kubernetes
  • Understand and adopt the tools available to efficiently manage EKS
Audience
  • Developers
  • System Administrators
  • DevOps Engineers
Format of the Course
  • Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
Note
  • To request a customized training for this course, please contact us to arrange.

Google Kubernetes Engine (GKE)

14 hours
In this instructor-led, live training in the US, 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.

Azure for Data Engineer

35 hours
Data analysis refers to the process of obtaining, cleaning, and analyzing data, often times in a visual manner, to derive insights for better decision making. More and more data is being stored in databases in the cloud so it is important to have a strategy for understanding, managing and accessing such data. One popular tool for accessing and visualizing data is Power Bi. This instructor-led, live training (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.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
 

Serverless on Kubernetes Fundamentals

21 hours
This instructor-led, live training in the US (online or onsite) is aimed at developers and DevOps engineers who wish to utilize a serverless approach for building enterprise applications in Kubernetes. By the end of this training, participants will be able to:
  • Setup and configure the Kubernetes system to start developing with a serverless architecture.
  • Understand the concepts and principles foundational to serverless environments.
  • Operate toolchains necessary to serverless development and integrate it with Kubernetes components.
  • Practice their skill in Python programming language and apply it to implement  serverless systems.
  • Secure enterprise applications that are deployed through a serverless framework on Kubernetes.
  • Utilize modern cloud computing methods in optimizing DevOps task processing workflows.

Docker and Kubernetes on AWS

21 hours
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.

AI-102T00: Designing and Implementing a Microsoft Azure AI Solution

28 hours
AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language. Audience Profile Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.

AZ-400T00-A: Designing and Implementing Microsoft DevOps solutions

35 hours
This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms. Audience profile Students in this course are interested in designing and implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam. Job role: DevOps Engineer Preparation for exam: AZ-400   Skills gained
  • Plan for the transformation with shared goals and timelines
  • Select a project and identify project metrics and Key Performance Indicators (KPI's)
  • Create a team and agile organizational structure
  • Design a tool integration strategy
  • Design a license management strategy (e.g. Azure DevOps and GitHub users)
  • Design a strategy for end-to-end traceability from work items to working software
  • Design an authentication and access strategy
  • Design a strategy for integrating on-premises and cloud resources
  • Describe the benefits of using Source Control
  • Describe Azure Repos and GitHub
  • Migrate from TFVC to Git
  • Manage code quality including technical debt SonarCloud, and other tooling solutions
  • Build organizational knowledge on code quality
  • Explain how to structure Git repos
  • Describe Git branching workflows
  • Leverage pull requests for collaboration and code reviews
  • Leverage Git hooks for automation
  • Use Git to foster inner source across the organization
  • Explain the role of Azure Pipelines and its components
  • Configure Agents for use in Azure Pipelines
  • Explain why continuous integration matters
  • Implement continuous integration using Azure Pipelines
  • Define Site Reliability Engineering
  • Design processes to measure end-user satisfaction and analyze user feedback
  • Design processes to automate application analytics
  • Manage alerts and reduce meaningless and non-actionable alerts
  • Carry out blameless retrospectives and create a just culture
  • Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure
  • Implement compliance and security in your application infrastructure
  • Describe the potential challenges with integrating open-source software
  • Inspect open-source software packages for security and license compliance
  • Manage organizational security and compliance policies
  • Integrate license and vulnerability scans into build and deployment pipelines
  • Configure build pipelines to access package security and license ratings

OpenStack Administration

14 hours
The aim of this course is to get familiar with the OpenStack environment both from the operator and administrator side. After a brief introduction to cloud computing you will get your own OpenStack instance and perform hands-on operational and administrative actions. The course covers all the basic components of the OpenStack from general architecture to administering the cloud. The format of the course comprises around 75% of hands-on workshop in the real OpenStack environment.

OpenStack Architecture and Troubleshooting

14 hours
The aim of this course is twofold - gain solid knowledge about OpenStack architecture and acquire profound troubleshooting skills. In the architecture part you will learn how to design the hardware for the public and private cloud, prepare high-availability control plane, choose proper size of the flavours, and safely overcommit cloud resources, among other things. Getting knowledge about the internals of Neutron (Networking Service) is another essential part in OpenStack architecture. Next the participant will be introduced into methods of troubleshooting issues in OpenStack clusters starting from general tips, through network troubleshooting up to caveats of main OpenStack services. Around 75% of the course comprises of hands-on workshops in the real OpenStack training environment.

OpenStack Bootcamp

28 hours
The course is a comprehensive training on OpenStack. It starts with the introduction to the system, then through hands-on workshops it gives practical knowledge on managing private clouds based on OpenStack, finally troubleshooting and advanced, architectural topics are present. The goal of this course is to familiarize with the OpenStack ecosystem as well as to give a strong background for further expansion and refinement of the OpenStack clouds. The course comprises all topics necessary to accomplish the Certificate OpenStack Administrator exam. 75% of the course is based on hands-on workshop in the real OpenStack training environment.

OpenStack Bootcamp Extended

35 hours
The course is a comprehensive training on OpenStack, extended version of the OpenStack Bootcamp course includes extra excercises, troubleshooting and sample examination tasks. Extended content is highlited in bold in the course outline. It starts with the introduction to the system, then through hands-on workshops it gives practical knowledge on managing private clouds based on OpenStack, finally troubleshooting and advanced, architectural topics are present. The goal of this course is to familiarize with the OpenStack ecosystem as well as to give a strong background for further expansion and refinement of the OpenStack clouds. The course comprises all topics necessary to accomplish the Certificate OpenStack Administrator exam. 75% of the course is based on hands-on workshop in the real OpenStack training environment. After the course participants get all the materials and training environment for self-study and feature/troubleshooting excercises. Customization options The full course is to be meant for at least 5 days. It could be shortened if some of the topics are not relevant for the customer. In case the participants are beginners to OpenStack (slower pace) it is recommended to expand the course for 6 days or remove some advanced topics. The course can be also extended with 1 more day when OVN topics can be presented.  

OpenStack and NFV (with OVN and OpenFlow)

21 hours
The course is a profound training on OpenStack networking. It starts with the introduction to OpenStack and its architecture, then clarifies core OpenStack projects as Identity service (Keystone), Image service (Glance), Compute service (Nova), Block storage (Cinder) in order to describe the surroundings of the networks in OpenStack and mainly focus on Networking project (Neutron). Virtual network infrastructure is described and based on the Open Virtual Network project, Open vSwitch and OpenFlow. The goal of the course is to understand basic operations and architecture of OpenStack as well as to familiarize participants with various networking technologies behind OpenStack, extending information about OVN and underlying flows, resources and tools. Customization options The training can be contracted to 2 days, focusing on core aspects relevant for the customer. The training can be also extended regarding administrative, design, networking and/or troubleshooting topics concerning OpenStack deployments. It is possible to describe other underlying SDN solutions like Linux Bridge or OvS.

Preparation for Certified OpenStack Administrator (COA) exam

21 hours
The aim of this course is to get familiar with the OpenStack environment both from the operator and administrator side. After a brief introduction to cloud computing you will get your own OpenStack instance and perform hands-on operational and administrative actions. The course covers all the basic components of the OpenStack from general architecture to administering the cloud. The format of the course comprises around 90% of hands-on workshop in the real OpenStack environment. The course cover all topics from Certificate OpenStack Administrator exam and prepares participant to the exam both theoretically and practically. Moreover programme of the course has been extended about topic that will allow the participant to better understand all OpenStack caveats required to pass the exam. At the end of the course every participant will have a chance to test themself during the mock COA exam.

Google Anthos for Hybrid and Multi-Cloud Computing

14 hours
This instructor-led, live training in the US (online or onsite) is aimed at developers who wish to use Anthos to build, deploy, and optimize applications running on top of multi-cluster Kubernetes infrastructure. By the end of this training, participants will be able to:
  • Set up Google Anthos on-premise or in the cloud.
  • Define, automate, and enforce policies across different environments.
  • Manage traffic between services.
  • Use Anthos Service Mesh to monitor, troubleshoot, and improve application performance.
  • Implement security controls across all deployments.

Cloud computing essentials for managers / software engineers

21 hours
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 Duration 3 days (7 hours / day)
 

Cloud Architect

35 hours
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.

Cloud Computing Overview

7 hours
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.

It is all about Cloud: Key Concepts, Players, and Technologies

21 hours
Audience IT architects, mid-level IT managers, IT consultants Format of the course Currently 100% lectures.

Data Analytics Process, Cloud Solutions, and Power BI Solutions

35 hours
This instructor-led, live training in the US (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.

Cloud Native Strategy for Engineers

21 hours
This instructor-led, live training (online or onsite) is aimed at engineers who wish to learn how to design, build and deploy applications using a cloud native strategy that includes continuous integration, container engines and orchestrators.  By the end of this training, participants will be able to:
  • Select, set up and manage the right tools for enabling a cloud native strategy.
  • Optimize the speed, scalability and costs of deploying enterprise cloud applications.
  • Create nodes that are self healing and multi-tenant.
  • Scale the number of machines to tens of thousands of nodes.
  • Communicate effectively with business stakeholders on cloud strategy
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.

Cloud Native Strategy for Managers

7 hours
This instructor-led, live training (online or onsite) is aimed at managers who wish to understand and develop a cloud native strategy for their organization's data and applications.  By the end of this training, participants will be able to:
  • Begin the process of moving their business to the cloud.
  • Bridge the gap between traditional IT and cloud-native applications.
  • Understand the technology components needed to develop a cloud platform.
  • Communicate effectively with developers and operations teams on a cloud strategy.
Format of the Course
  • Interactive lecture and discussion.
  • Numerous exercises and activities.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.

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Upcoming Cloud Computing Courses

AWS Developer Associate

12/20/2023 - 09:30
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Tinkerbell: Provisioning Bare Metal Servers

01/03/2024 - 09:30
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AWS Architect Certification

01/31/2024 - 09:30
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21 hours

AWS Architect Certification

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21 hours

AWS Architect Certification

02/28/2024 - 09:30
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SQL in One Day

12/21/2023 - 09:30
Remote
7 hours

Excel Advanced

01/15/2024 - 09:30
Remote
14 hours

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