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. Leiden onsite live Azure trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Leiden
Golden Tulip/Tulip Inn Leiden Centre, Schipholweg 3, Leiden, Netherlands, 2316XB
The 4-star Golden Tulip Leiden Center is located right next to the Tulip Inn Leiden Center hotel; together they accommodate 7 stars under one roof. The hotels are ideally located with Leiden Central Station directly opposite and many motorways within easy reach. A beautiful location in the center of the historic city of Leiden full of museums and picturesque spots. Experience, enjoy and be inspired.
Golden Tulip & Tulip Inn Leiden Center have a large diversity of hotel rooms; from comfortable and modern furnished standard rooms to luxurious executive rooms. In total there are 155 rooms. Furthermore, the hotels have a renovated restaurant called "Rubens", a cozy bar / lounge and an extensive meeting & conference center.
The 6 multifunctional rooms make Golden Tulip & Tulip Inn Leiden Center the ideal location for small and medium-sized meetings. The rooms have a capacity of 4 to 100 people. The meeting rooms offer countless possibilities in terms of setup and technical facilities. Convenience, efficiency, hospitality and professionalism are paramount. All rooms have air conditioning, free wireless internet and daylight.
Until the early 19th century, fishing in Noordwijk aan Zee remained the most important form of income. Later the population started to focus more and more on tourism. More than 1 million overnight stays take place every year. Noordwijk aan Zee consists of several districts and is located on the dunes. There are various catering establishments such as hotels, entertainment centers and restaurants (also on the beach) and there is a shopping center that has a Sunday opening. Every year events take place on the boulevard around the lighthouse on the Vuurtorenplein. The municipality has a KNRM rescue station and a reformed church (1647) with pulpit from the 17th century.
Since the merger with the Noordwijkerhout municipality, the municipality consists of four centers.
Noordwijk aan Zee, traditionally a fishing village, has become a seaside resort with a long coastal strip of approximately 13 km. . Noordwijk aan Zee has two boulevards, both of which are named after a queen, Queen Wilhelmina Boulevard and Queen Astrid Boulevard.
Noordwijk-Binnen radiates the tranquility of earlier centuries in the old core. In 1992 the old village center was designated as a protected village view under the Monuments Act.
Noordwijkerhout, a village and former municipality northeast of Noordwijk..Noordwijk aan Zee is rated as the 12th richest location in the Netherlands. Beer magnate Freddy Heineken has built a villa there with the characteristic green roof.
The Two Brothers Noordwijk Beach Hotel is located on the boulevard of Noordwijk with a view of the village and the sea and has several conference rooms and training rooms that make it the perfect place for business meetings and stimulating training. Noordwijk is a 30-minute drive from Amsterdam and The Hague and only 20 minutes from Leiden.
This instructor-led, live training in Leiden (online or onsite) is aimed at intermediate-level Java developers, software engineers, and cloud enthusiasts who wish to harness the power of Azure OpenAI to create intelligent applications.
By the end of this training, participants will be able to:
Understand the principles of Generative AI and its applications.
Set up and manage an Azure OpenAI service.
Integrate OpenAI's models into Java applications.
Deploy AI-powered features within web applications.
This instructor-led, live training in Leiden (online or onsite) is aimed at intermediate-level cloud engineers and IT professionals who wish to use Terraform to automate the deployment, management, and scaling of infrastructure on the Azure cloud platform.
By the end of this training, participants will be able to:
Understand the basics of Terraform and its benefits in infrastructure as code.
Set up and configure Terraform for Azure.
Develop, test, and deploy Terraform configuration files for various Azure services.
Use Terraform for managing and scaling Azure resources.
Implement best practices for Terraform state management and version control.
Integrate Terraform with Azure DevOps for automated deployments.
Create reusable Terraform modules for consistent resource provisioning.
Utilize advanced features of Terraform for complex infrastructure deployments.
This instructor-led, live training in Leiden (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to build and deploy AI-powered cloud applications using Microsoft Azure.
By the end of this training, participants will be able to:
Develop event-driven and serverless applications using Azure Functions.
Manage Azure storage solutions and virtual machines.
Deploy and scale web applications using Azure App Service and Docker containers.
Integrate AI, machine learning, and natural language processing using Azure AI Services.
Leverage GitHub Copilot to assist in AI-driven cloud application development.
This instructor-led, live training in Leiden (online or onsite) is aimed at intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide range of data processing, analytics, and visualization.
By the end of this training, participants will be able to:
Understand the core concepts, architecture, and components of Azure Synapse Analytics.
Create, configure, and manage scalable data warehouses using Azure Synapse.
Master the techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.
This instructor-led, live training in Leiden (online or onsite) is aimed at intermediate-level data engineers who wish to learn how to use Azure Data Lake Storage Gen2 for effective data analytics solutions.
By the end of this training, participants will be able to:
Understand the architecture and key features of Azure Data Lake Storage Gen2.
Optimize data storage and access for cost and performance.
Integrate Azure Data Lake Storage Gen2 with other Azure services for analytics and data processing.
Develop solutions using the Azure Data Lake Storage Gen2 API.
Troubleshoot common issues and optimize storage strategies.
This instructor-led, live training in Leiden (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.
In this instructor-led, live training in Leiden (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.
This instructor-led, live training in Leiden (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.
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.
This instructor-led, live training in Leiden (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.
This instructor-led, live training in Leiden (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.
This instructor-led, live training in Leiden (online or onsite) is aimed at developers who wish to 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.
In this instructor-led, live training in Leiden (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
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.
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.
I loved the technical aspects of the exercises - it was great seeing Terraform in action and being able to see the creation of the resources in Azure.
Brett Hawson - Reach Plc
Course - Terraform on Microsoft Azure
It was very much what we asked for—and quite a balanced amount of content and exercises that covered the different profiles of the engineers in the company who participated.
Arturo Sanchez - INAIT SA
Course - Microsoft Azure Infrastructure and Deployment
I've got to try out resources that I've never used before.
Daniel - INIT GmbH
Course - Architecting Microsoft Azure Solutions
The Exercises
Khaled Altawallbeh - Accenture Industrial SS
Course - Azure Machine Learning (AML)
very friendly and helpful
Aktar Hossain - Unit4
Course - Building Microservices with Microsoft Azure Service Fabric (ASF)
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
Practical part and interaction with students
Piotr Madej - EY Global Services (Poland) Sp. z o.o.
Course - Azure DevOps Fundamentals
Learning about Kubernetes.
Felix Bautista - SGS GULF LIMITED ROHQ
Course - Kubernetes on Azure (AKS)
Provisional Upcoming Courses (Contact Us For More Information)
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