Introduction to Microsoft Azure and Azure Kubernetes Service Training Course

This instructor-led, live training in Greece (online or onsite) is designed for intermediate to advanced professionals seeking 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 Greece (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 Greece (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 course empowers participants to enhance their skills in designing Microsoft Azure solutions.

Upon completion, delegates will gain a thorough understanding of Azure service features and capabilities, enabling them to evaluate trade-offs and make informed decisions for public and hybrid cloud solution design.

Throughout the training, participants will define suitable infrastructure and platform solutions to address functional, operational, and deployment requirements across the solution life cycle.

This instructor-led, live training in Greece (online or onsite) is tailored 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 Greece (online or onsite) is aimed at data scientists who wish 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 Greece (online or onsite) is designed for 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, delivered in Greece (online or on-site), targets security administrators aiming to learn how to configure Azure cloud security for protecting workloads.

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, delivered Greece (either online or onsite), targets developers seeking to learn the construction of microservices on Microsoft Azure Service Fabric (ASF).

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

• Employ ASF as a platform for building and managing microservices.
• Understand core microservices programming concepts and models.
• Establish a cluster in Azure.
• Deploy microservices on-premises or in the cloud.
• Debug and troubleshoot a live microservice application.

Azure Bot Service unites the capabilities of the Microsoft Bot Framework with Azure Functions, offering a robust platform for rapidly constructing intelligent bots.

Through this instructor-led live training, participants will investigate efficient methods for developing intelligent bots utilizing Microsoft Azure.

Upon completing the training, participants will be able to:

Comprehend the fundamental concepts underpinning intelligent bots.

Construct intelligent bots using cloud-based applications.

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

Implement established bot design patterns in practical scenarios.

Create and deploy their first intelligent bot using Microsoft Azure.

Target Audience

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

Course Format

The training integrates lectures and discussions with exercises, placing a strong emphasis on practical, hands-on application.

This course provides a foundational understanding of containers, core Kubernetes principles, and Red Hat OpenShift concepts, with a strong emphasis on practical, hands-on learning.

Delivered as an instructor-led, live training session (available online or in person), this program is designed for technical professionals ranging from beginner to intermediate skill levels who aim to master container workflows, Kubernetes building blocks, and the deployment and operation of applications within the OpenShift environment.

Upon completion, participants will be equipped to:

• Create and manage container images and registries, adhering to best practices for reproducibility and security.
• Deploy and administer Kubernetes resources, including pods, deployments, and services, within OpenShift.
• Leverage OpenShift capabilities such as routes, build configurations, and the web console to enhance application delivery processes.
• Configure persistent storage, manage configurations, and handle secrets for stateful applications.
• Apply fundamental security measures, Role-Based Access Control (RBAC), and monitoring techniques to ensure cluster stability and application health.

Course Format

• Interactive lectures and group discussions.
• Practical labs conducted daily in a live OpenShift environment.
• Real-world scenario exercises and troubleshooting workshops.

Customization Options

• For tailored training solutions, please reach out to us to discuss your specific needs.

This instructor-led, live training in Greece (online or onsite) is aimed at engineers who wish to use Helm to streamline the process of installing and managing Kubernetes applications.

By the end 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 Greece (online or onsite) is aimed at beginner to intermediate-level software developers and DevOps professionals who want 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 machines.
• Grasp the fundamental 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 Greece (online or onsite) targets intermediate-level developers and DevOps engineers who intend to use Minikube as part of their development workflow.

By the conclusion 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.