Kubernetes on Azure (AKS) Training Course

This live, instructor-led training in Turkey (online or onsite) targets intermediate to advanced professionals seeking to build and deploy AI-powered cloud applications on Microsoft Azure.

By the conclusion of this training, participants will be capable of:

• Developing event-driven and serverless applications using Azure Functions.
• Managing Azure storage solutions and virtual machines.
• Deploying and scaling web applications with Azure App Service and Docker containers.
• Integrating AI, machine learning, and natural language processing via Azure AI Services.
• Leveraging GitHub Copilot to facilitate AI-driven cloud application development.

This instructor-led live training, conducted in Turkey (online or onsite), is intended for engineers who want to utilize Azure ML's drag-and-drop platform to deploy machine learning workloads. This approach removes the burden of purchasing hardware and software and eliminates concerns related to 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 Turkey (online or onsite) is designed for developers and technical professionals at beginner, intermediate, or advanced levels 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 functional agent, connect agents to business knowledge sources, and evaluate and prepare agents for deployment.

This training program enables participants to enhance their skills in designing Microsoft Azure solutions.

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

Throughout the course, participants will learn to define the appropriate infrastructure and platform solutions necessary to meet functional, operational, and deployment requirements across the solution lifecycle.

This instructor-led, live training in Turkey (online or onsite) is designed for DevOps engineers, developers, and project managers who wish to use Azure DevOps to build and deploy optimized enterprise applications more quickly 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 Turkey (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 Turkey (online or on-site) is tailored for security administrators aiming to protect Azure workloads.

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

• Administer host and network security, among other domains.
• Configure storage and database security within Azure.
• Deploy security monitoring using Azure resources.
• Prevent malicious cyber attacks against data and infrastructure.

This guided, live training session in Turkey (online or onsite) is designed for security administrators who want to learn how to configure Azure cloud security to protect workloads running in Azure.

Upon completing this course, participants will be equipped to:

• Establish host and network security measures.
• Set up advanced Azure security features.
• Utilize Azure mechanisms to safeguard cloud computing workloads.
• Deploy endpoint protection services to defend against malware and viruses.
• Secure container workloads operating within Azure.

This instructor-led, live training in Turkey (online or onsite) is tailored for developers seeking 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 Microsoft Bot Framework with Azure Functions, offering a robust platform for rapidly constructing intelligent bots.

Through this instructor-led live training, attendees will discover how to effectively develop intelligent bots leveraging Microsoft Azure.

Upon completing the training, participants will be able to:

Grasp the fundamental concepts underlying intelligent bots.

Construct intelligent bots utilizing cloud-based applications.

Acquire hands-on expertise with the Microsoft Bot Framework, the Bot Builder SDK, and Azure Bot Service.

Implement proven bot design patterns in practical situations.

Develop and deploy their first intelligent bot using Microsoft Azure.

Target Audience

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

Course Format

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

DO180 serves as an entry point into the world of containers, Kubernetes core principles, and Red Hat OpenShift platform concepts, with a strong emphasis on practical, hands-on skills.

This instructor-led training, available both online and onsite, is designed for technical professionals at beginner to intermediate levels who aim to master container workflows, understand Kubernetes primitives, and learn how to deploy and manage applications on OpenShift.

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

• Constructing and managing container images and registries while adhering to best practices for reproducibility and security.
• 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 streamline application delivery.
• Implementing persistent storage, configuration management, and secrets handling for stateful workloads.
• Applying fundamental security, RBAC, and monitoring practices to ensure the health of clusters and applications.

Format of the Course

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

Course Customization Options

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

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

Upon completing this training, participants will be equipped to:

• Install and configure Helm.
• Build reproducible Kubernetes applications.
• Distribute applications as Helm charts.
• Execute third-party applications packaged as Helm charts.
• Manage Helm package releases.

This instructor-led live training in Turkey (online or on-site) is designed 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.

Upon completing 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.
• Establish persistent storage and networking solutions for Kubernetes.
• Use Minikube for developing, testing, and debugging applications.

This instructor-led, live training in Turkey (online or onsite) is designed for intermediate-level developers and DevOps engineers who want to incorporate Minikube into their development workflows.

Upon completing this training, participants will be able to:

• Set up and manage a local Kubernetes environment using Minikube.
• Deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment (CI/CD) pipelines.
• Enhance their development process by leveraging Minikube's advanced features.
• Apply best practices for local Kubernetes development.