
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 trainings in New Zealand can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
The details and the presentation style.
Cristian Mititean - Edina Kiss, Accenture Industrial SS
Course: Azure Machine Learning (AML)
Interactive, a lot of exercises
Edina Kiss, Accenture Industrial SS
Course: Azure Machine Learning (AML)
The Exercises
Khaled Altawallbeh - Edina Kiss, Accenture Industrial SS
Course: Azure Machine Learning (AML)
The lab materials and hands on exercise is very useful to get a better understanding of the key concepts
Mohammad Khan, UNESCAP (Financial Resources Management Section)
Course: Microsoft Azure Infrastructure and Deployment
He is very knowledgeable and is able to explain everything he is asked.
Christine Abele, INIT GmbH
Course: Architecting Microsoft Azure Solutions
Excellent notes and knowledge on topic.
Christine Abele, INIT GmbH
Course: Architecting Microsoft Azure Solutions
I enjoyed the whole course. The content, pace and balance between practical demos and theory was spot on!
Christine Abele, INIT GmbH
Course: Architecting Microsoft Azure Solutions
Trainer engagement to keep the group as active as possible.
EY Global Services (Poland) Sp. z o.o.
Course: Azure DevOps Fundamentals
Jestem pod mega wrażeniem stylu prowadzenia szkolenia przez Daniela - w grupie z dużą rozbieżnością wiedzy, wszyscy uczestnicy bez problemu poradzili sobie z każdym zadaniem dzieki bardzo dobrze użytkowo przekazaniej wiedzy. Mam wrażenie, że trener zna odpowiedzi na wszystkie pytania - nie pozostawił pytania bez odpowiedzi. Co podobalo mi sie najbardziej? To, że mieiśmy okazję robić Labs i ćwiczyć. Uważam, że jest to najlepszy sposób nauki - kursant może 'dotknąć' narzędzia, sprawdzić jak działa i czuje się pewniej w tym co robi. Dodatkowo Daniel zaciekawił mnie szkoleniem tak, że na pewno będę chciała drążyć temat.
EY Global Services (Poland) Sp. z o.o.
Course: Azure DevOps Fundamentals
Daniel ma bardzo dużą wiedzę popartą doświadczneniem. Podczas szkolenia potrafił świetnie zobrazowań niektóre zagadnienia przytaczając bardzo realne przykłady. To było bardzo istotne i zdecydowanie lepsze od recytowania tylko regułek i definicji.
Przemysław Kormański - EY Global Services (Poland) Sp. z o.o.
Course: Azure DevOps Fundamentals
Dawid is a really good at what he does, he makes something very complicated seem like a stroll in the park.
Dirk Nagel - Derivco IOM
Course: Kubernetes on Azure (AKS)
The hand-on part was really good. I would just give students a headsup to have 2 screens (as I started with a laptop only) - as you have to follow and do it yourself.
Theresa Conradie
Course: Kubernetes on Azure (AKS)
Dawid is a great trainer, very patient with the group
Course: Kubernetes on Azure (AKS)
Dawid is a great trainer, very patient with the group
Course: Kubernetes on Azure (AKS)
Microsoft Azure Subcategories in New Zealand
Azure Course Outlines in New Zealand
- 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.
- 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.
- 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.
- 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
- Developers
- IT Professionals
- Technicians
- DevOps E
- Part lecture, part discussion, exercises and heavy hands-on practice
- 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.
- Build machine learning models with zero programming experience.
- Create predictive algorithms with Azure Machine Learning.
- Deploy production ready machine learning algorithms.
- 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.
- 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
- Developers
- Hobbyists
- Engineers
- IT Professionals
- Part lecture, part discussion, exercises and heavy hands-on practice
- Understand the basics of Microsoft Azure
- Understand the different Azure tools and services
- Learn how to use Azure for building cloud applications
- 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
- Developers
- Engineers
- Part lecture, part discussion, exercises and heavy hands-on practice
- To request a customized training for this course, please contact us to arrange.
- 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.
- 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.
- 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
- Developers
- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
- 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
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