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 Nova Scotia can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Truro - Commercial Street
1 Commercial St., Truro, Canada, B2N 3H8
Build your business with a flexible office space in Truro, the Hub of Nova Scotia. Commute easily to this ideal location using the nearby Truro Station, and if you’re driving, Trunk 2 and Trunk 4 highways intersect in the town.
Halifax - Purdy Wharf
1959 Upper Water Street, Halifax, Canada, B3J 3N2
Short walk from Scotia Square Mall, next door to the Casino Nova Scotia. 2 blocks from the ferry terminal, building has a bus stop right outside, 3 blocks from Citadel Hill Historic Site and Halifax City Hall.
Dartmouth - Metropolitan Place
99 Wyse Road, Dartmouth, Canada, B3A 4S5
Metropolitan Place is an ocean-front building, close to Alderney Landing and home to leading businesses. Motorway exits and the local ferry terminal are located close by, and restaurants cafes are easily accessible for lunch.
Halifax-Metropolitan Place
Suite 1100, Lower Water Street, Halifax, Canada, B3J 1S9
Elevate Your Business with Stunning Waterfront Views
Experience a prestigious oceanfront workspace in the heart of Harborview. Metropolitan Place is a highly sought-after business destination, just steps from Alderney Landing, offering a prime setting for leading enterprises.
Impress your guests with this iconic glass skyscraper, boasting panoramic views of the Atlantic Ocean, Bedford Basin, and Georges Island. With easy access to major highways and the nearby ferry terminal, commuting is effortless. Plus, an array of restaurants and cafés ensures convenient options for business lunches and client meetings.
This instructor-led, live training in Nova Scotia (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 Nova Scotia (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 Nova Scotia (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 Nova Scotia (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 Nova Scotia (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 Nova Scotia (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 Nova Scotia (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 Nova Scotia (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 instructor-led, live training in Nova Scotia (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level developers and technical professionals who wish to use Microsoft Azure to build, test, and deploy AI agents for business applications.
By the end of this training, participants will be able to: understand AI agent architecture on Azure, create and configure a working agent, connect agents to business knowledge sources, evaluate and prepare agents for deployment.
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 Nova Scotia (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 Nova Scotia (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 Nova Scotia (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.
Azure Bot Service brings together the capabilities of the Microsoft Bot Framework and Azure Functions, providing a powerful platform for quickly building intelligent bots.
In this instructor-led, live training, participants will explore how to efficiently develop intelligent bots using Microsoft Azure.
By the end of the training, participants will be able to:
Understand the core concepts behind intelligent bots.
Build intelligent bots using cloud-based applications.
Gain practical knowledge of the Microsoft Bot Framework, the Bot Builder SDK, and Azure Bot Service.
Apply established bot design patterns in real-world scenarios.
Create and deploy their first intelligent bot using Microsoft Azure.
Audience
This course is designed for developers, hobbyists, engineers, and IT professionals interested in bot development.
Format of the course
The training combines lectures and discussions with exercises and a strong emphasis on hands-on practice.
In this instructor-led, live training in Nova Scotia (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 Nova Scotia (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.
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.
pacing for the most part was fantastic. Michal was very good at ensuring the audience were engaged and ensured everyone was following along for the most part
Asif Shaikh - Carpmaels & Ransford
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
The course, Trainer
Novat Adam - Tanzania Revenue Authority
Course - Architecting Microsoft Azure Solutions
The details and the presentation style.
Cristian Mititean - Accenture Industrial SS
Course - Azure Machine Learning (AML)
That we could do everything in practice by ourselves.
That our trainer had extensive knowledge and we could ask him anything and he always had the answer.
That I got some skills that are useful for developers.
Julia Gajtkowska - Demant Business Services Poland
Course - Azure DevOps Fundamentals
very friendly and helpful
Aktar Hossain - Unit4
Course - Building Microservices with Microsoft Azure Service Fabric (ASF)
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 - Derivco
Course - Kubernetes on Azure (AKS)
I enjoyed the relaxed mood.
Also there was a very good balance between theoretical presentation and practical side.
Calin Berariu - Continental Automotive Romania SRL
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