Architecting Microsoft Azure Solutions Training Course

This instructor-led, live training in Italy (available online or onsite) is designed for intermediate to advanced professionals who want 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 Italy (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.

Microsoft Azure Infrastructure and Deployment

This instructor-led, live training in Italy (online or onsite) is designed for beginner, intermediate, and advanced developers and technical professionals who intend to leverage Microsoft Azure to build, test, and deploy AI agents for business purposes.

By the conclusion of this training, participants will be able to: comprehend the architecture of AI agents on Azure, create and configure a functional agent, link agents to business knowledge sources, and evaluate and prepare agents for deployment.

This instructor-led, live training in Italy (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 Italy (available online or onsite) is designed for data scientists who wish to utilize Azure Machine Learning to create end-to-end machine learning models for predictive analysis.

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

• Build machine learning models without any programming experience.
• Create predictive algorithms using Azure Machine Learning.
• Deploy production-ready machine learning algorithms.

This instructor-led, live training in Italy (online or onsite) is aimed at security administrators who wish to secure Azure workloads.

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

• Administrate host security, network security, and more.
• Set up storage and database security in Azure.
• Implement security monitoring using Azure resources.
• Prevent malicious cyber attacks on data and infrastructures.

This instructor-led live training in Italy (available online or on-site) is targeted at 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 Italy (online or onsite) is designed for developers looking 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 integrates the functionalities of the Microsoft Bot Framework and Azure Functions, offering a robust platform for rapidly constructing intelligent bots.

Through this instructor-led live training, attendees will learn how to efficiently create intelligent bots using Microsoft Azure.

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

Grasping the fundamental concepts underlying intelligent bots.

Constructing intelligent bots leveraging cloud-based applications.

Acquiring practical expertise in the Microsoft Bot Framework, the Bot Builder SDK, and Azure Bot Service.

Implementing established bot design patterns in practical scenarios.

Creating and deploying their initial intelligent bot via Microsoft Azure.

Target Audience

This course is tailored for developers, enthusiasts, engineers, and IT professionals keen on bot development.

Course Format

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

This instructor-led, live training in Italy (online or onsite) is designed for data engineers at an intermediate level who want to learn how to leverage Azure Data Lake Storage Gen2 for effective data analytics solutions.

Upon completing this training, participants will be capable of:

• Comprehending the architecture and core features of Azure Data Lake Storage Gen2.
• Optimizing data storage and access to balance cost and performance.
• Integrating Azure Data Lake Storage Gen2 with other Azure services for analytics and data processing.
• Building solutions using the Azure Data Lake Storage Gen2 API.
• Troubleshooting common issues and refining storage strategies.

This instructor-led, live training in Italy (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.

During this instructor-led, live training in Italy (onsite or remote), participants will study the essential concepts, components, and services of Microsoft Azure by constructing a sample cloud application.

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

• Comprehend 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) refers to a network infrastructure that wirelessly links physical objects 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 composed of preconfigured solutions that assist developers in accelerating the creation of IoT projects.

During this instructor-led live training, participants will gain practical skills in developing IoT applications using Azure.

Upon completion of this training, participants will be able to:

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

Audience

• Developers
• Engineers

Format of the course

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

Note

• For customized training requests regarding this course, please contact us to make arrangements.

This instructor-led, live training session, delivered Italy (online or onsite), is designed for engineers who intend to deploy Machine Learning workloads to the Azure cloud.

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

• Install and configure Kubernetes, Kubeflow, and other required software on Azure.
• Use Azure Kubernetes Service (AKS) to simplify the process of initializing a Kubernetes cluster on Azure.
• Create and deploy a Kubernetes pipeline to automate and manage ML models in production.
• Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
• Leverage other Azure managed services to extend an ML application.