
Online or onsite, instructor-led live Azure (Microsoft Azure) training courses demonstrate through interactive discussion and hands-on practice the fundamental concepts, components, and services of Microsoft Azure as participants step through the creation of a sample cloud application.
Azure 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 Azure training can be carried out locally on customer premises in Macao or in NobleProg corporate training centers in Macao.
NobleProg -- Your Local Training Provider
Testimonials
That the trainer was able to adapt to specific questions/situations
Inforit BV
Course: Kubernetes on Azure (AKS)
Learning about Kubernetes.
Felix Bautista - SGS GULF LIMITED ROHQ
Course: Kubernetes on Azure (AKS)
I would say that the trainor really explain well. I like his strategy on teaching. He ensures that we really learn before proceeding to the next topic.
SGS GULF LIMITED ROHQ
Course: Kubernetes on Azure (AKS)
Calmness and self-mastery of the lecturer and huge knowledge, transmitted in a simple and simple way, supported by practical examples. One of the better trainings I've participated in.
Tomasz Czajka - Unit4 Polska sp. z o.o.
Course: Introduction to Azure
Machine Translated
Microsoft Azure Subcategories in Macao
Azure Course Outlines in Macao
By the end of this training, participants will be able to:
- Write highly-accurate machine learning models using Python, R, or zero-code tools.
- Leverage Azure's available data sets and algorithms to train and track machine learning and deep-learning models.
- Use Azures interactive workspace to collaboratively develop ML models.
- Choose from different Azure-supported ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
In this instructor-led, live training, participants will learn how to get started using the Azure CLI.
By the end of this training, participants will be able to:
- Understand the basics of using the Azure CLI
- Learn techniques for managing resources using the Azure CLI
- Apply their learnings to practical real-world problems involving virtual machines, resource management, storage accounts, web apps, and SQL databases
- Automate their API using Azure service principals
Audience
- Developers
- IT Professionals
- Technicians
- DevOps E
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
By the end of this training, participants will be able to:
- Understand the fundamental DevOps vocabulary and principles.
- Install and configure the necessary Azure DevOps tools for software development.
- Utilize Azure DevOps tools and services to continuously adapt to the market.
- Build enterprise applications and evaluate current development processes upon Azure DevOps solutions.
- Manage teams more efficiently and accelerate software deployment time.
- Adopt DevOps development practices within the organization.
By the end of this training, participants will be able to:
- Build machine learning models with zero programming experience.
- Create predictive algorithms with Azure Machine Learning.
- Deploy production ready machine learning algorithms.
By the end of this training, participants will be able to:
- Administrate host security, network security, and more.
- Set up storage and database security in Azure.
- Implement security monitoring using Azure resources.
- Prevent malicious cyber attacks on data and infrastructures.
In this instructor-led, live training, participants will learn how to build microservices on Microsoft Azure Service Fabric (ASF).
By the end of this training, participants will be able to:
- Use ASF as a platform for building and managing microservices
- Understand key microservices programming concepts and models.
- Create a cluster in Azure
- Deploy microservices on premises or in the cloud
- Debug and troubleshoot a live microservice application
Audience
- Developers
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.
- To learn more about Service Fabrice, please see: https://github.com/Microsoft/service-fabric
In this instructor-led, live training, participants will learn how to easily create an intelligent bot using Microsoft Azure
By the end of this training, participants will be able to:
- Learn the fundamentals of intelligent bots
- Learn how to create intelligent bots using cloud applications
- Understand how to use the Microsoft Bot Framework, the Bot Builder SDK, and the Azure Bot Service
- Understand how to design bots using bot patterns
- Develop their first intelligent bot using Microsoft Azure
Audience
- Developers
- Hobbyists
- Engineers
- IT Professionals
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
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
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.
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.
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.
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.