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 Ontario or in NobleProg corporate training centers in Ontario.
NobleProg -- Your Local Training Provider
London - London City Centre
380 Wellington Street, London, Canada, N6A 5B5
The centre occupies the 6th floor of City Centre Building a conveniently-located corner complex in downtown London, Ontario.
West Toronto - Etobicoke
10 Four Seasons Place, Toronto, Canada, M9B 6H7
Etobicoke is a prestigious area located on the western fringe of Toronto, and is the cushion between Toronto and Mississauga. Easily accessible by public transportation (bus) and is 5 minutes from the local subway station.
Scarborough – 10 Milner Business Court
10 Milner Business Court, Scarborough, Canada, M1B 3C6
The Milner Court Centre occupies the third floor of a corner property. It is easily accessible by public transport, both by bus and the rapid transit system.
Oakville - Winston Park
2010 Winston Park Drive, Oakville, Canada, L6H 5R7
The Winston Park centre is located close to both the Queen Elizabeth Way and Ontario 403 giving easy access for Burlington and Hamilton to the west and Mississauga and Toronto to the East.
Barrie - 49 High Street
49 High Street, Barrie, Canada, L4N 5J4
Balance work and leisure from our office space at 49 High Street. Barrie has a bustling commercial heart and enjoys great connectivity – our central office space is just a few minutes’ drive from Highway 400
Maximise opportunities in this forward-thinking city, a knowledge center home to several tech giants. Our well-connected 180 Northfield Drive West centre is on the city's Corporate Campus near the prestigious University of Waterloo.
Kitchener - 22 Frederick Street
22 Frederick Street, Kitchener, canada, N2H 6M6
Prominent office space in downtown location
Establish your business in the heart of downtown Kitchener. Work alongside leading finance and insurance companies at our 22 Frederick Street offices on the corner of Frederick Street, giving you easy access to local amenities.
Brampton - 2 County Court
2 County Court Boulevard, Brampton, Canada, L6W 3W8
Look to the future with an office space at 2 County Court, a building with outstanding sustainability credentials. The third largest city in Greater Toronto enjoys great transport links, while Toronto’s international airport is under 10 miles away.
Richmond Hill - The Business Exchange
9225 Leslie Street, Richmond Hill, Canada, L4B 3H6
Place your business in the peaceful surroundings of Richmond Hill, home to leading global brands. Located in the northern suburbs, our The Business Exchange workspace is just a 30-minute drive from central Toronto and the International Airport.
Ottawa - Albert & Metcalfe
116 Albert Street, Ottawa, Canada, K1P 5G3
Across the street from the World Exchange Plaza. The Ottawa Shaw Centre and CF Rideau Centre shopping mall 10 minutes away.
Barrie-49 High Street
3rd floor, Dunlop Street West, Barrie, Canada, L4N 1A8
A Perfect Balance of Work and Leisure by Lake Simcoe
Combine productivity with relaxation in our office space at 49 High Street. Located in the vibrant commercial center of Barrie, this office offers excellent connectivity, with Highway 400 just a short drive away.
Work efficiently in a modern brick building featuring a glass-fronted entrance, beautifully designed workspaces, and curated artwork in every meeting room. After a productive day, enjoy the nearby restaurants or take a leisurely walk to Heritage Park by the waterfront for some fresh air and relaxation.
Toronto - Toronto Street
36 Toronto Street, Toronto, Canada, M5C 2C5
Steps away from Toronto's prestigious financial core. Fast link to Pearson International Airport - less than 30 minutes away.
Ottawa - 343 Preston
343 Preston Street, Ottawa, Canada, K1S 1N4
On the top floor of a distinctive office tower that's highly visible from Highway 417, you will find Regus 343 Preston Centre in Ottawa. Only a 10 minute drive from downtown Ottawa, a short stroll away from Downs Lake, and located near the lively intersection of Preston Gladstone in Little Italy.
Mississauga - Airways
5925 Airport Road, Mississauga, Canada, L4V 1W1
Airways is a beautiful center located at 5925 Airport Road, directly across from Toronto Pearson International Airport offering shuttle services. Adjacent to Highways 409 and 427, our center is easily accessible.
This instructor-led, live training in Ontario (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 Ontario (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 Ontario (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 Ontario (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 Ontario (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 Ontario (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 Ontario (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 Ontario (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 Ontario (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 Ontario (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 Ontario (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 Ontario (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)
Augustin was able to adapt to our core business, which is semiconductors. The training was interesting and the objective was achieved.
-->Being able to use IoT Central or IoTHub in the context of our demonstrations.
Lionel Chastillon - STMicroelectronics
Course - Programming for IoT with Azure
Machine Translated
Practical part and interaction with students
Piotr Madej - EY Global Services (Poland) Sp. z o.o.
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