Azure Training in Norway

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.

This instructor-led, live training in Norway (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 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 intermediate-level data engineers seeking proficiency in utilizing Azure Synapse Analytics for a wide array of data processing, analytics, and visualization tasks.

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

• Comprehend the core concepts, architecture, and components of Azure Synapse Analytics.
• Establish, configure, and manage scalable data warehouses using Azure Synapse.
• Master techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
• Optimize query performance, ensure data security, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.

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 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.

During this instructor-led live training in Norway (online or onsite), attendees will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.

Upon completing this course, participants will be capable of:

• Configuring and managing Kubernetes on AKS.
• Deploying, administering, and scaling Kubernetes clusters.
• Deploying containerized (Docker) applications on Azure.
• Transferring existing on-premise Kubernetes environments to the AKS cloud.
• Integrating Kubernetes with third-party continuous integration (CI) tools.
• Ensuring high availability and disaster recovery within Kubernetes.

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 training empowers participants to enhance their skills in designing Microsoft Azure solutions.

Upon completion, delegates will gain a comprehensive understanding of Azure service features and capabilities, enabling them to identify trade-offs and make informed decisions when designing public and hybrid cloud solutions.

Throughout the course, participants will define appropriate infrastructure and platform solutions that satisfy functional, operational, and deployment requirements across the entire solution lifecycle.

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 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.

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.

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

This instructor-led live training, offered online or onsite, targets machine learning engineers aiming to utilize Azure Machine Learning and Azure DevOps to enhance MLOps practices.

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

• Construct reproducible workflows and machine learning models.
• Manage the end-to-end machine learning lifecycle.
• Track and report on model version history, assets, and other details.
• Deploy production-ready machine learning models in any environment.