Architecting Microsoft Azure Solutions 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 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.

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

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

• Understand the architecture and key features of Azure Data Lake Storage Gen2.
• Optimize data storage and access for cost and performance.
• Integrate Azure Data Lake Storage Gen2 with other Azure services for analytics and data processing.
• Develop solutions using the Azure Data Lake Storage Gen2 API.
• Troubleshoot common issues and optimize storage strategies.

This instructor-led live training in Turkey (online or onsite) targets intermediate Java developers, software engineers, and cloud enthusiasts aiming to utilize Azure OpenAI for developing intelligent applications.

Upon completion, participants will be able to:

• Grasp the core concepts and use cases of Generative AI.
• Configure and manage Azure OpenAI services.
• Embed OpenAI models into Java applications.
• Deploy AI-driven capabilities within web applications.

During this instructor-led, live training in Turkey (onsite or remotely), participants will gain insight into the core concepts, components, and services of Microsoft Azure through the step-by-step creation of a sample cloud application.

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

• Grasp the fundamentals of Microsoft Azure
• Understand the various Azure tools and services
• Learn how to utilize Azure for developing cloud applications

The Internet of Things (IoT) constitutes a network infrastructure that wirelessly connects physical objects and software applications, enabling them to communicate and exchange data through network communications, cloud computing, and data capture mechanisms. Azure provides a comprehensive suite of cloud services that includes an IoT solution offering preconfigured resources designed to help developers accelerate the development of IoT projects.

In this instructor-led live training session, participants will acquire the skills necessary to develop IoT applications using Azure.

Upon completing this training, participants will be capable of:

• Grasping the fundamental concepts of IoT architecture
• Installing and configuring the Azure IoT Suite
• Understanding the advantages of leveraging Azure for IoT system programming
• Implementing various Azure IoT services, including IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, and IoT Device Management
• Building, testing, deploying, and troubleshooting an IoT system within the Azure environment

Audience

• Developers
• Engineers

Format of the course

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

Note

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

This instructor-led live training in Turkey (online or onsite) is targeted at engineers who wish to deploy Machine Learning workloads to the Azure cloud.

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

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