Introduction to Microsoft Azure and Azure Kubernetes Service Training Course

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

By the conclusion 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 Argentina (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 course equips IT Professionals with the skills to manage Azure subscriptions, secure identities, administer infrastructure, configure virtual networking, link Azure with on-premises sites, manage network traffic, implement storage solutions, create and scale virtual machines, deploy web apps and containers, back up and share data, and monitor overall solution performance.

Designed for Azure Administrators, this content focuses on implementing, managing, and monitoring identity, governance, storage, compute, and virtual networks in a cloud environment. Azure Administrators will learn to provision, size, monitor, and adjust resources as needed.

Microsoft Azure Infrastructure and Deployment

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

Upon completion 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 delegates to enhance their skills in designing Microsoft Azure solutions.

Upon completion, delegates will grasp the features and capabilities of Azure services, enabling them to evaluate trade-offs and make informed decisions when designing public and hybrid cloud solutions.

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

This instructor-led, live training in Argentina (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 Argentina (online or onsite) targets data scientists who wish to use Azure Machine Learning to build end-to-end machine learning models for predictive analysis.

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

• Build machine learning models with no prior programming experience.
• Create predictive algorithms using Azure Machine Learning.
• Deploy production-ready machine learning algorithms.

This instructor-led, live training in Argentina (online or onsite) is specifically 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 Argentina (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 Argentina (online or onsite) targets developers eager 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.

DO180 serves as a foundational guide to containers, core Kubernetes principles, and Red Hat OpenShift platform concepts, emphasizing practical, hands-on learning.

This live, instructor-led training—available either online or at your location—is designed for technical professionals at beginner to intermediate levels who aim to master container workflows, understand Kubernetes primitives, and learn to deploy and manage applications on OpenShift.

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

• Create and manage container images and registries, adhering to best practices for security and reproducibility.
• Deploy and administer Kubernetes objects, including pods, deployments, and services, within OpenShift.
• Leverage OpenShift features such as routes, BuildConfigs, and the web console to accelerate application delivery.
• Configure persistent storage, handle configuration management, and manage secrets to support stateful workloads.
• Implement essential security measures, Role-Based Access Control (RBAC), and monitoring practices to ensure cluster and application health.

Course Delivery Format

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

Customization Options

• For inquiries regarding customized training for this course, please contact us to arrange.

This instructor-led, live training in Argentina (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.
• Build reproducible Kubernetes applications.
• Distribute applications as Helm charts.
• Execute third-party applications provided as Helm charts.
• Manage Helm package releases.

This instructor-led, live training in Argentina (online or onsite) is designed for beginner to intermediate software developers and DevOps professionals seeking to learn how to set up and manage a local Kubernetes environment using Minikube.

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

• Install and configure Minikube on their local machine.
• Grasp the fundamental concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Configure persistent storage and networking solutions for Kubernetes.
• Leverage Minikube for application development, testing, and debugging.

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

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.