Introduction to Microsoft Azure and Azure Kubernetes Service 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 training empowers participants to enhance their skills in designing Microsoft Azure solutions.

Upon completion, attendees will gain a thorough understanding of Azure services' features and capabilities, enabling them to evaluate trade-offs and make informed decisions when architecting public and hybrid cloud solutions.

Throughout the course, the appropriate infrastructure and platform solutions will be defined to satisfy functional, operational, and deployment requirements across the entire solution lifecycle.

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.

DO180 provides an entry-level exploration of containers, core Kubernetes principles, and Red Hat OpenShift platform concepts, emphasizing practical, hands-on experience.

This instructor-led, live training session (available online or onsite) is designed for technical professionals at a beginner to intermediate level who aim to master container workflows, understand Kubernetes primitives, and learn how to deploy and manage applications on OpenShift.

Upon completing this training, participants will be capable of:

• Building and managing container images and registries while adhering to best practices for security and reproducibility.
• Deploying and managing Kubernetes objects, including pods, deployments, and services, within the OpenShift environment.
• Leveraging OpenShift features such as routes, buildconfigs, and the web console to accelerate application delivery.
• Implementing persistent storage, configuration management, and secrets handling for stateful workloads.
• Applying fundamental security measures, RBAC, and monitoring practices to ensure the health of clusters and applications.

Course Format

• Interactive lectures and discussions.
• Daily hands-on labs conducted in a live OpenShift environment.
• Scenario-based exercises and troubleshooting workshops.

Customization Options

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

This instructor-led, live training in Italy (online or onsite) is designed for engineers looking to leverage Helm to simplify the installation and management of Kubernetes applications.

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

• Install and configure Helm.
• Create reproducible builds of Kubernetes applications.
• Share applications as Helm charts.
• Run third-party applications saved as Helm charts.
• Manage releases of Helm packages.

This instructor-led, live training in Italy (online or onsite) is tailored for software developers and DevOps professionals at beginner to intermediate levels who want to learn how to set up and manage a local Kubernetes environment using Minikube.

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

• Install and configure Minikube on their local machine.
• Understand the basic concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Set up persistent storage and networking solutions for Kubernetes.
• Utilize Minikube for developing, testing, and debugging applications.

This instructor-led, live training in Italy (online or onsite) is designed for intermediate developers and DevOps engineers aiming to utilize Minikube within their development workflow.

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

• Set up and manage a local Kubernetes environment using Minikube.
• Understand how to deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines.
• Optimize their development process using Minikube's advanced features.
• Apply best practices for local Kubernetes development.