Architecting Microsoft Azure Solutions Training Course

This instructor-led, live training in Norway (online or onsite) is designed for intermediate to advanced professionals who wish to construct and deploy AI-powered cloud applications using Microsoft Azure.

By the conclusion of this training, participants will be able to:

• Build 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 Norway (online or onsite) is designed for engineers who wish to utilize Azure ML's drag-and-drop platform to deploy machine learning workloads. This approach eliminates the need to purchase software and hardware, while also removing concerns regarding 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 Azure's interactive workspace to collaboratively develop ML models.
• Choose from different Azure-supported ML frameworks such as PyTorch, TensorFlow, and scikit-learn.

Microsoft Azure Infrastructure and Deployment

This instructor-led, live training in Norway (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 instructor-led, live training in Norway (online or onsite) is designed for 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 Norway (online or onsite) is designed for data scientists aiming 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 Norway (online or onsite) is tailored for security administrators who aim to secure Azure workloads.

By the end of this training, participants will be able to:

• Manage host security, network security, and additional security layers.
• Establish security protocols for storage and databases in Azure.
• Implement security monitoring using Azure resources.
• Prevent malicious cyber attacks against data and infrastructure.

This instructor-led, live training in Norway (online or onsite) is designed for security administrators who want to learn how to configure Azure cloud security to protect 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.

This instructor-led, live training in Norway (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 unites the strengths of the Microsoft Bot Framework and Azure Functions, offering a robust platform for rapidly creating intelligent bots.

During this instructor-led live training, participants will investigate how to efficiently develop intelligent bots using Microsoft Azure.

Upon completion of the training, participants will be capable of:

Grasping the fundamental concepts behind intelligent bots.

Constructing intelligent bots utilizing cloud-based applications.

Acquiring practical knowledge of the Microsoft Bot Framework, the Bot Builder SDK, and Azure Bot Service.

Applying well-established bot design patterns in practical scenarios.

Creating and deploying their initial intelligent bot using Microsoft Azure.

Target Audience

This course is tailored for developers, enthusiasts, engineers, and IT professionals with an interest in bot development.

Course Structure

The training blends lectures and discussions with exercises, placing a strong emphasis on hands-on practice.

This instructor-led live training in Norway (available online or onsite) is designed for intermediate-level data engineers who wish to learn how to utilize 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 Norway (online or onsite) is designed for intermediate Java developers, software engineers, and cloud enthusiasts aiming to utilize Azure OpenAI for building intelligent applications.

Upon completing this training, participants will be able to:

• Comprehend the core principles of Generative AI and its practical applications.
• Configure and manage Azure OpenAI services.
• Integrate OpenAI models into Java-based applications.
• Deploy AI-driven features within web applications.

In this instructor-led, live training in Norway (onsite or remote), participants will delve into the essential concepts, components, and services of Microsoft Azure while creating 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

The Internet of Things (IoT) represents a network infrastructure that wirelessly links physical devices with software applications, enabling them to communicate and exchange data through network communications, cloud computing, and data capture. Azure provides a comprehensive suite of cloud services, including an IoT Suite with preconfigured solutions designed to help developers accelerate the creation of IoT projects.

In this instructor-led live training, participants will learn how to develop IoT applications using Azure.

Upon completing this training, participants will be able to:

• Grasp the fundamental concepts of IoT architecture
• Install and configure the Azure IoT Suite
• Understand the advantages of using Azure for IoT system programming
• Implement various Azure IoT services (including IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, and IoT Device Management)
• Build, test, deploy, and troubleshoot an IoT system utilizing Azure

Target Audience

• Developers
• Engineers

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Note

• To request customized training for this course, please contact us to arrange.

This instructor-led, live training in Norway (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.