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 Kazakhstan can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
Good overview over the topic and practical exercises on all major items.
Christine Abele, INIT GmbH
Course: Architecting Microsoft Azure Solutions
The course, Trainer
Novat Adam - Goerge Ngaiza, Tanzania Revenue Authority
Course: Architecting Microsoft Azure Solutions
The hands-on activities.
Goerge Ngaiza, Tanzania Revenue Authority
Course: Architecting Microsoft Azure Solutions
The big amount of topics and knowledge.
Christine Abele, INIT GmbH
Course: Architecting Microsoft Azure Solutions
It was always OK to ask questions and to expand on a topic. The trainer had the knowledge and was very helpful and forthcoming to explain additional questions.
Christine Abele, INIT GmbH
Course: Architecting Microsoft Azure Solutions
I've got to try out resources that I've never used before.
Daniel - Christine Abele, INIT GmbH
Course: Architecting Microsoft Azure Solutions
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
The practical part and the side explanations that trainer provided in order for us to understand better the topics and how can be applied for use cases we were interested in
Continental Automotive Romania SRL
Course: Programming for IoT with Azure
I enjoyed the relaxed mood. Also there was a very good balance between theoretical presentation and practical side.
Calin Berariu - Continental Automotive Romania SRL
Course: Programming for IoT with Azure
Exercises and practical applications
Doru Marian Aldea Ungurean - Continental Automotive Romania SRL
Course: Programming for IoT with Azure
The exercises , examples and practical application
Doru Marian Aldea ungurean - Continental Automotive Romania SRL
Course: Programming for IoT with Azure
The practical part, I was able to perform exercises and to test the Microsoft Azure features
Alex Bela - Continental Automotive Romania SRL
Course: Programming for IoT with Azure
It was really useful seeing the full pipeline from start to finish, it led to a better understanding of how to use the technology which you wouldn't get by just focusing on a few different parts out of context.
Scott Fisher - Nicola Hurst, Derivco
Course: Kubernetes on Azure (AKS)
I enjoyed that we were able to interact with the technologies themselves. Still, as mentioned above, I wish we received a little more autonomy than following the instructions to a tee.
Nicola Hurst, Derivco
Course: Kubernetes on Azure (AKS)
Gave some good insight into kubernetes
Adam Braidwood - Nicola Hurst, Derivco
Course: Kubernetes on Azure (AKS)
the train on a topic then do practical work to reinforce the subject
Derivco IOM
Course: Kubernetes on Azure (AKS)
Hands on training
Derivco IOM
Course: Kubernetes on Azure (AKS)
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)
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
The pace was really good. I never felt behind, and never really went ahead of the trainer. The overall structure was quite good apart from the improvements mentioned above. Also, very clean explanation of the topics.
Edina Kiss, Accenture Industrial SS
Course: Azure Machine Learning (AML)
It was overall nice. Funny and knowledgeable trainer, explaining what actually matters.
Edina Kiss, Accenture Industrial SS
Course: Azure Machine Learning (AML)
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)
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
Very helpful in resolving issues
EY GDS
Course: Microsoft Azure solutions for AWS developers (authorized training course AZ-020T00)
Best trainer by far
EY GDS
Course: Microsoft Azure solutions for AWS developers (authorized training course AZ-020T00)
Trener przygotowany, chętnie odpowiadający na pytania, wyrabianie się w czasie, bez pośpiechu.
EY GDS
Course: Microsoft Azure solutions for AWS developers (AZ-020T00)
Dawid is a great trainer, very patient with the group
Course: Kubernetes on Azure (AKS)
MS Azure Subcategories in Kazakhstan
Microsoft Azure Course Outlines in Kazakhstan
Course Name
Duration
Overview
Course Name
Duration
Overview
35 hours
This instructor-led, live training in Kazakhstan (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.
14 hours
In this instructor-led, live training in Kazakhstan (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
This training permits delegates to improve their Microsoft Azure solution design skills.
After this training the delegate will understand the features and capabilities of Azure services, to be able to identify trade-offs, and make decisions for designing public and hybrid cloud solutions.
During training the appropriate infrastructure and platform solutions to meet the required functional, operational, and deployment requirements through the solution life-cycle will be defined.
7 hours
In this instructor-led, live training in Kazakhstan (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
Azure is a comprehensive set of cloud services that enables developers, IT professionals, and organizations to build, deploy, and operate applications and infrastructure services. The Azure Command Line Interface (CLI) is an open source, cross-platform command line tool that makes creating and managing Azure resources easier.
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
- Developers
- IT Professionals
- Technicians
- DevOps E
- Part lecture, part discussion, exercises and heavy hands-on practice
14 hours
The Azure Bot Service combines the power of the Microsoft Bot Framework and Azure functions to enable rapid development of intelligent bots.
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
- Developers
- Hobbyists
- Engineers
- IT Professionals
- Part lecture, part discussion, exercises and heavy hands-on practice
14 hours
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
- 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.
7 hours
This instructor-led, live training in Kazakhstan (online or onsite) is aimed at security administrators who wish to secure Azure workloads.
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.
14 hours
This instructor-led, live training in Kazakhstan (online or onsite) is aimed at data scientists who wish to use Azure Machine Learning to build end-to-end machine learning models for predictive analysis.
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.
28 hours
Microsoft Azure Cloud offerings are the most comprehensive set of services w.r.t. AI, ML, DL
From Vision, Speech to Language to Conversational bots, Azure is empowering organizations to process their data to derive insights
This instructor-led, live training (online or onsite) is aimed at AI enthusiasts who wish to use Azure to build AI scenarios in the cloud
By the end of this training, participants will be able to:
- Build Azure based AI scenarios.
- Understand the end to end functioning of API based infering
- Build conversational bots for business needs
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
- To request more details or customized training for this course, please contact us to arrange.
14 hours
This instructor-led, live training in Kazakhstan (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.
28 hours
This instructor-led, live training in Kazakhstan (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.
21 hours
This instructor-led, live training in Kazakhstan (online or onsite) is aimed at engineers who wish to use Azure ML's drag-and-drop platform to deploy Machine Learning workloads without having to purchase software and hardware and without having to worry about maintenance and deployment.
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.
14 hours
This instructor-led, live training in Kazakhstan (online or onsite) is aimed at DevOps engineers, developers, and project managers who wish to utilize Azure DevOps to build and deploy optimized enterprise applications faster than traditional development approaches.
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.
35 hours
This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include virtualization, automation, networking, storage, identity, security, data platform, and application infrastructure. This course outlines how decisions in each of these areas affect an overall solution.
Audience profile
This course is for IT Professionals with expertise in designing and implementing solutions running on Microsoft Azure. They should have broad knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platform, budgeting, and governance. Azure Solution Architects use the Azure Portal and as they become more adept they use the Command Line Interface. Candidates must have expert-level skills in Azure administration and have experience with Azure development processes and DevOps processes.
35 hours
About This Course
In this course, students will learn how to design and develop services that access local and remote data from various sources. Students will also learn how to develop and deploy services to hybrid environments, including on-premises servers and Microsoft Azure.
Audience Profile
Primary: .NET developers who want to learn how to develop services and deploy them to hybrid environments.
Secondary: .NET developers with Web application development experience who are exploring developing new applications or porting existing applications to Microsoft Azure. At Course Completion After completing this course, students will be able to:
Secondary: .NET developers with Web application development experience who are exploring developing new applications or porting existing applications to Microsoft Azure. At Course Completion After completing this course, students will be able to:
- Describe the basic concepts of service development and data access strategies using the .NET platform.
- Describe the Microsoft Azure cloud platform and its compute, data, and application hosting offerings.
- Design and develop a data-centric application using Visual Studio 2017 and Entity Framework Core.
- Design, implement, and consume HTTP services using ASP.NET Core.
- Extend HTTP services using ASP.NET Core.
- Host services on-premises and in Microsoft Azure.
- Deploy services to both on-premises and cloud environments and manage the interface and policy for their services.
- Choose a data storage solution, cache, distribute, and synchronize data.
- Monitor, log, and troubleshoot services.
- Describe claim-based identity concepts and standards, and implement authentication and authorization with Azure Active Directory.
- Create scalable service applications.
21 hours
Gain the necessary knowledge for designing Azure AI solution by building a customer support chat Bot using artificial intelligence from the Microsoft Azure platform including language understanding and pre-built AI functionality in the Azure Cognitive Services.
14 hours
About This Course
This two-day course is designed for AWS Sysops administrators interested in learning how Azure is different from AWS, and how Azure is administered. The workshops main topics are Azure Administration, Azure Networking, Azure Compute, Azure Storage, and Azure Governance. This workshop combines lecture with hands-on practical exercises and discussion/review. During the workshop students will build an end-to-end architecture that demonstrates the main features discussed in the course.
Audience Profile
The audience for this course is an AWS Sysops Administrator Associate or equivalent. This person has one to two years of experience in AWS deployment, management, and operations. Students taking this course are interested in learning how Azure is different from AWS, and how Azure is administered. Students may also be interested in taking the AZ-103 Microsoft Azure Administrator certification exam, or the AZ-900 Azure Fundamentals exam.
21 hours
About This Course
A three-day course designed to teach AWS (Amazon Web Services) developers how to prepare end-to-end solutions in Microsoft Azure. In this course you will construct Azure App Service Web App solutions and Azure Functions, use blob or Cosmos DB storage in solutions, implement secure cloud solutions that include user authentication and authorization, implement API management, and develop event- and message-based solutions, and monitor, troubleshoot, and optimize your Azure solutions. You will learn how developers use Azure services, with additional focus on features and tasks that differ from AWS, and what that means for you as you develop applications that will be hosted by using Azure services.
Audience Profile
Students in this course are experienced AWS developers interested in Azure development.
7 hours
About This Course
This course will enable the students to understand Azure SQL Database, and educate the students on what is required to migrate MySQL and PostgreSQL workloads to Azure SQL Database.
Audience Profile
The primary audience for this course is database developers who plan to migrate their MySQL or Postgres DB workloads to Azure SQL DB. The secondary audience for this course is MySQL/Postgres administrators to raise awareness of the features and benefits of Azure SQL DB.
At Course Completion
At the end of this course, the students will have learned:
- Migrate on-premises MySQL to Azure SQL DB for MySQL
- Migrate on-premises PostgreSQL to Azure SQL DB for PostgreSQL
21 hours
Microsoft Azure Service Fabric (ASF) is a platform as a service (PaaS) used for deploying scalable microservices-based cloud applications.
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
- 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
35 hours
Microsoft Azure Infrastructure and Deployment
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