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.

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Cloud Computing Course Outlines in Hong Kong

Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview
This instructor-led, live training in Hong Kong (online or onsite) is aimed at developers who wish to integrate AWS Lambda applications and services with other services (API Gateway, Kinesis Streams, etc.). The training demonstrates how to use the browser-based AWS Cloud9 IDE to develop software collaboratively.

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

- Collaboratively develop functions, applications and services using AWS Cloud9 IDE.
- Integrate AWS Lambda functions with other AWS services.
- Create and manage APIs.
- Set up an AWS Lambda function to read and process real-time streaming data.
- Create and manage a continuous integration pipeline for building, testing and deploying a AWS Lambda functions and applications.
14 hours
Overview
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
Overview
This instructor-led, live training in Hong Kong (onsite or remote) is aimed at developers who wish to use OpenFaas to create, build, test, debug and deploy event-driven functions without needing to worry about managing the underlying server infrastructure.

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

- Install and configure OpenFaas.
- Package any binary or code as a serverless function without repetitive boiler-plate coding.
- Decouple from AWS Lambda to avoid lock-in.
- Deploy event-driven functions to an on-premise server or to the cloud.
21 hours
Overview
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
Overview
Nextcloud is an open-source cloud-based file hosting solution aimed at enterprises who want to have full control over their data. Its open-source nature gives enterprises the freedom to integrate customized solutions into Nextcloud based on their specific needs.

In this instructor-led, live training, participants will learn the fundamentals of Nextcloud as they step through setting up their own Nextcloud server.

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

- Install and configure Nextcloud
- Perform Nextcloud administration and optimization tasks
- Integrate third-party solutions with Nextcloud to fit their organization's needs

Audience

- System Administrators
- Developers

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
Overview
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.
14 hours
Overview
This instructor-led, live training in (online or onsite) is aimed at machine learning engineers who wish to use Azure Machine Learning and Azure DevOps to facilitate MLOps practices.

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

- Build reproducible workflows and machine learning models.
- Manage the machine learning lifecycle.
- Track and report model version history, assets, and more.
- Deploy production ready machine learning models anywhere.
14 hours
Overview
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
Overview
Azure Kubernetes Service (AKS) is a hosted Kubernetes service that simplifies the deployment and management of a Kubernetes cluster in Azure.

In this instructor-led, live training, 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

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
Overview
This instructor-led, live training in Hong Kong (onsite or remote) is aimed at developers who wish to use Kubeless to build and deploy applications as functions on top of Kubernetes.

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

- Install and configure Kubeless.
- Turn Kubernetes into a function execution machine, without the need for add-ons such as a messaging bus.
- Comfortably manage functions as standard Kubernetes objects.
- Troubleshoot deployments using existing logging and monitoring setup and skills.
14 hours
Overview
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.
28 hours
Overview
This instructor-led, live training in Hong Kong (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to Azure cloud.

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

- Install and configure Kubernetes, Kubeflow and other needed software on Azure.
- Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
28 hours
Overview
This instructor-led, live training in Hong Kong (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server.

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

- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
14 hours
Overview
This instructor-led, live training in Hong Kong (onsite or remote) is aimed at developers who wish to use Knative to deploy serverless, event-driven functions, applications, and containers in a simplified and consistent manner.

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

- Install and configure Knative on-premise.
- Deploy and run serverless functions and applications that autoscale.
- Integrate Knative with continuous integration systems to enable an end-to-end development workflow.
- Simplify the overhead of deploying containers; focus on writing great code.
8 hours
Overview
Summary:

- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Hands on with Raspberry PI and AWS IoT Core to build a smart device.
- Sensor data visualization and communication with web interface.
14 hours
Overview
Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. Azure is a comprehensive set of cloud services which offers an IoT Suite consisting of preconfigured solutions that help developers accelerate development of IoT projects.

In this instructor-led, live training, participants will learn how to develop IoT applications using Azure.

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

- Understand the fundamentals of IoT architecture
- Install and configure Azure IoT Suite
- Learn the benefits of using Azure in programming IoT systems
- Implement various Azure IoT services (IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, IoT Device Management)
- Build, test, deploy, and troubleshoot an IoT system using Azure

Audience

- Developers
- 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.
7 hours
Overview
In this instructor-led, live training in Hong Kong (onsite or remote) participants will learn the fundamental concepts, components, and services of Microsoft Azure as they step through the creation of a sample cloud application.

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

- Understand the basics of Microsoft Azure
- Understand the different Azure tools and services
- Learn how to use Azure for building cloud applications
7 hours
Overview
This course has been designed for developers and project managers who would like to experiment with Blockchain in their products and projects. The course gives a basic know how on how to set up your own blockchain network using IBM Bluemix.

Please note: Owing to limited learning options and everything already being pre-setup on Bluemix, it is used only for college students and in corporate cases we will be using AWS instance or virtual machines to setup the complete hyperledger fabric setup from scratch so as to accelerate the practical and handson knowledge absorption of the particpants.
14 hours
Overview
This instructor-led, live training in Hong Kong (online or onsite) is aimed at software engineers who wish to develop parallel applications using OpenMP.

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

- Understand and use parallel programming with Fortran in OpenMP.
- Calculate fractals in parallel to render multiple pixels and characters.
- Implement vector programming with SIMD extensions for HPC systems.
- Add parallel blocks for specifying shared memory parallelism.
14 hours
Overview
This instructor-led, live training in Hong Kong (onsite or remote) is aimed at developers who wish to use OpenWhisk to create, build, test, debug and deploy event-driven functions without needing to worry about managing the underlying execution environment.

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

- Install and configure OpenWhisk.
- Use OpenWhisk to enable writing "code as a function".
- Understand how OpenWhisk orchestrates functions on Kubernetes.
- Decouple from AWS Lambda to avoid lock in and improves flexibility.
- Deploy event-driven functions to an on-premise server or to the cloud.
21 hours
Overview
Amazon Redshift is a petabyte-scale cloud-based data warehouse service in AWS.

In this instructor-led, live training, participants will learn the fundamentals of Amazon Redshift.

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

- Install and configure Amazon Redshift
- Load, configure, deploy, query, and visualize data with Amazon Redshift

Audience

- Developers
- IT Professionals

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
Overview
Pivotal Cloud Foundry is a Pivotal branded installation of Cloud Foundry. It integrates services such as MySQL, Redis, ELK, RabbitMQ, etc. with Cloud Foundry.

In this instructor-led, live training, participants will learn how to to deploy, manage, and scale applications on Pivotal Cloud Foundry.

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

- Understand how Pivotal Cloud Foundry's relation to other cloud offerings (SaaS, PaaS to IaaS)
- Deploy, manage and scale cloud native applications and services
- Understand how Cloud Foundry fits into a microservice architecture

Audience

- Developers
- Administrators

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
21 hours
Overview
This instructor-led, live training in Hong Kong (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.
21 hours
Overview
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.
21 hours
Overview
This instructor-led, live training in Hong Kong (online or onsite) is aimed at DevOps engineers with little or no previous experience managing infrastructure. Terraform will be used to automate the setup and deployment of infrastructure on and off the cloud.

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

- Install and configure Terraform.
- Understand the principles of infrastructure as code.
- Set up and automate infrastructure using Terraform.
- Write and share configuration file with team members.
14 hours
Overview
This instructor-led, live training in Hong Kong (online or onsite) is aimed at engineers who wish to use Terraform to plan and build cloud infrastructure.

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

- Install and configure Terraform.
- Implement an "infrastructure as code" approach to managing private and public cloud environments.
- Write declarative configuration files for more efficient change management and collaboration.
- Improve transparency in the infrastructure procurement process.
- Create, launch, and remove resources across different infrastructure providers (AWS, GCP, Azure, OpenStack, VMware, etc.) from within a single tool.
14 hours
Overview
This instructor-led, live training in Hong Kong (onsite or remote) is aimed at developers who wish to use Serverless Framework on AWS and other cloud platforms to create and deploy microservice applications.

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

- Set up Serverless Framework to work with compute services such as AWS Lambda.
- Reduce the complexity and cost of deploying microservices on different cloud platforms.
- Emit and capture events and execute functions automatically.
21 hours
Overview
This instructor-led, live training in Hong Kong (online or onsite) is aimed at engineers who wish to understand and deploy a Red Hat Ceph Storage cluster.

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

- Install and configure Red Hat Ceph Storage.
- Deploy and manage a Red Hat Ceph Storage cluster.
- Tune Red Hat Ceph Storage for performance.
- Integrate Red Hat Ceph Storage with OpenStack.
21 hours
Overview
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.
28 hours
Overview
Pivotal Cloud Foundry is a Pivotal branded installation of Cloud Foundry. It integrates services such as MySQL, Redis, ELK, RabbitMQ, etc. with Cloud Foundry.

In this instructor-led, live training, participants will learn how to set up and manage Pivotal Cloud Foundry.

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

- Understand how Pivotal Cloud Foundry's relation to other cloud offerings (SaaS, PaaS to IaaS)
- Install, configure and maintain an instance of Pivotal Cloud Foundry
- Deploy a sample cloud application
- Set up and manage users on Pivotal Cloud Foundry
- Back up, restore and upgrade Pivotal Cloud Foundry

Audience

- Administrators

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
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