Cloud Computing Training Courses in Hong Kong

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 trainings in Hong Kong can be carried out locally on customer premises or in NobleProg corporate training centers.

NobleProg -- Your Local Training Provider

Testimonials

★★★★★
★★★★★

Cloud Computing Course Outlines in Hong Kong

Course Name
Duration
Overview
Course Name
Duration
Overview
7 hours
This instructor-led, live training in Hong Kong (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.
21 hours
This instructor-led, live training in Hong Kong (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.
14 hours
In this instructor-led, live training in Hong Kong (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.
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.
14 hours
In this instructor-led, live training in Hong Kong, 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.
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.
 
21 hours
This instructor-led, live training in Hong Kong (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.
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.
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.
21 hours
Audience IT architects, mid-level IT managers, IT consultants Format of the course Currently 100% lectures.
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.
35 hours
This course is created for people who face choices which solution to choose for a specific problem. IT Managers, Solution Architects, Test Managers, System Administrators and Developers can benefit from this course by understanding the benefits and costs of available Cloud/SaaS/Iaas solutions.
7 hours
HashiCorp is an open-source software company that provides tools for provisioning, securing and running infrastructure for distributed applications. Their DevOps suite includes:
  • Vault - for securing distributed applications
  • Terraform - for provisioning infrastructure and application resources across public cloud, private cloud, and external services
  • Nomad - a distributed, highly available, datacenter-aware cluster manager and scheduler for deploying applications on any infrastructure, at any scale.
  • Consul - for discovering and configuring services in your infrastructure.
This course focuses on Consul. We go over the Consul's architecture and features and carry out a live implementation and deployment of a Consul server.
Format of the Course
  • Part lecture, part discussion, heavy hands-on practice and implementation, occasional quizzing to measure progress
7 hours
OSv is an open source operating system for the cloud. In this instructor-led, live training, participants will learn how OSv compares to conventional virtualization technologies and approaches as they set up an instance of OSv in a lab environment. By the end of this training, participants will be able to:
  • Run OSv on minimal memory and cpu overhead, compared to traditional OSs
  • Install, configure and troubleshoot OSv
  • Reduce the size and number of running OS instances
  • Run large applications such as Cassandra on OSv
Audience
  • System administrators
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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)
 
21 hours
Multicloud (multi-cloud) Computing refers to the use of cloud services from multiple providers, for example, using infrastructure (Iaas) services from different providers simultaneously, through a single management console. Morpheus is a Cloud Application Management Platform for managing applications across multiple clouds as well as orchestrating cloud resources themselves. In this instructor-led, live training, participants will learn set up, configure and manage Morpheus. By the end of this training, participants will be able to:
  • Install and configure Morpheus
  • Provision cloud resources across different infrastructures
  • Orchestrate and manage clouds, including logging, monitoring and backups
  • Migrate applications from on-premise to private or public clouds
  • Integrate Morpheus with third-party tools such as Ansible, Chef, Consul, and others
Audience
  • Administrators
  • Developers
  • DevOps Engineers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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.
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.
35 hours
This instructor-led, live training in Hong Kong (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.
14 hours
This instructor-led, live training in Hong Kong (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.
14 hours
This instructor-led, live training in Hong Kong (online or onsite) is aimed at system administrators who wish to manage and deploy G Suite for organizations. By the end of this training, participants will be able to:
  • Apply Google security practices with 2SV and SSO.
  • Monitor domain and services usage through reports in the Admin Console.
  • Set up and configure a G Suite Admin Console.
21 hours
This instructor-led, live training in Hong Kong (online or onsite) is aimed at engineers who wish to deploy software applications to any of a number of environments, from traditional infrastructure, to Kubernetes clusters or serverless functions. By the end of this training, participants will be able to:
  • Install and configure Pulumi.
  • Declare cloud infrastructure using programming languages.
  • Use Pulumi to deploy software using VMs, networks, and databases, as well as Kubernetes clusters and serverless functions.
  • Deploy software to public, private, and hybrid cloud service infrastructures.
14 hours
This instructor-led, live training in Hong Kong (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.
7 hours
This instructor-led, live training in Hong Kong (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.
14 hours
The course helps to understand and implement cloud infrastructure based on OpenStack. The participant learns the architecture and capabilities of OpenStack and a variety of installation scenarios.
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.
7 hours
The course is dedicated to IT engineers and architects who are looking for a solution to host private or public IaaS (Infrastructure as a Service) cloud via OpenStack.
This is also great opportunity for IT managers to gain knowledge overview about possibilities which could be enabled by OpenStack. Before you decide on OpenStack implementation by yourself, further investigation on the topic or hireing a 3rd party for the implementation, you could consider all pros and cons by attending on our course.
This topic is also avaliable as individual consultancy. Course goal:
  • understand how Public Cloud differs from Private Cloud in the offering and management
  • gaining basic knowledge regarding OpenStack
14 hours
The course is dedicated to IT engineers and architects who are looking for a solution to host private or public IaaS (Infrastructure as a Service) cloud. Course goal:
  • gaining expert knowledge regarding OpenStack architecture design
14 hours
This instructor-led, live training in Hong Kong (online or onsite) is aimed at engineers, architects and managers who wish to deploy an OpenStack cloud to manage their Telecom infrastructure. By the end of this training, participants will be able to:
  • Plan, deploy, and administer OpenStack as a private cloud.
  • Understand IaaS architecture and its implementation under OpenStack.
  • Replace physical routers and servers with virtual machines running in a private cloud.
  • Reduce infrastructure and maintenance costs through virtualization and cloud computing.
  • Expedite the rollout of new services to customers.
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.

Last Updated:

Upcoming Cloud Computing Courses in Hong Kong

Online Cloud Computing courses, Weekend Cloud Computing courses, Evening Cloud Computing training, Cloud Computing boot camp, Cloud Computing instructor-led, Weekend Cloud Computing training, Evening Cloud Computing courses, Cloud Computing coaching, Cloud Computing instructor, Cloud Computing trainer, Cloud Computing training courses, Cloud Computing classes, Cloud Computing on-site, Cloud Computing private courses, Cloud Computing one on one training

Course Discounts

Course Discounts Newsletter

We respect the privacy of your email address. We will not pass on or sell your address to others.
You can always change your preferences or unsubscribe completely.

Some of our clients

is growing fast!

We are looking to expand our presence in Hong Kong!

As a Business Development Manager you will:

  • expand business in Hong Kong
  • recruit local talent (sales, agents, trainers, consultants)
  • recruit local trainers and consultants

We offer:

  • Artificial Intelligence and Big Data systems to support your local operation
  • high-tech automation
  • continuously upgraded course catalogue and content
  • good fun in international team

If you are interested in running a high-tech, high-quality training and consulting business.

Apply now!

This site in other countries/regions