Architecting Microsoft Azure Solutions Training Course

This instructor-led live training in South Korea (online or onsite) is tailored for intermediate to advanced professionals who aim 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 South Korea (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 South Korea (online or on-site) 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 instructor-led, live training in South Korea (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, held in South Korea (available online or onsite), is designed for data scientists who intend to utilize Azure Machine Learning to build comprehensive machine learning models for predictive analysis.

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

• Build machine learning models without any programming background.
• Create predictive algorithms using Azure Machine Learning.
• Deploy machine learning algorithms suitable for production use.

This instructor-led, live training in South Korea (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, available online or onsite, is designed for security administrators aiming to master the configuration of Azure cloud security to protect workloads operating within the Azure environment.

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

• Setting up host and network security protocols.
• Implementing advanced security options within Azure.
• Utilizing Azure to safeguard cloud computing workloads.
• Leveraging endpoint protection services to defend against malware and viruses.
• Securing container workloads running on Azure.

This instructor-led, live training in South Korea (online or onsite) is aimed at developers who wish 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 to deliver a robust platform for rapidly developing intelligent bots.

Through this instructor-led live training, participants will learn how to efficiently develop intelligent bots using Microsoft Azure.

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

Grasp the fundamental concepts behind intelligent bots.

Develop intelligent bots leveraging cloud-based applications.

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

Implement established bot design patterns in real-world scenarios.

Create and deploy their first intelligent bot using Microsoft Azure.

Target Audience

This course is tailored for developers, hobbyists, engineers, and IT professionals interested in bot development.

Course Format

The training blends lectures and discussions with exercises, emphasizing hands-on practice.

This instructor-led, live training in South Korea (online or onsite) is aimed at intermediate-level data engineers who wish to learn how to use Azure Data Lake Storage Gen2 for effective 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 South Korea (online or onsite) is designed for intermediate-level Java developers, software engineers, and cloud enthusiasts eager to leverage Azure OpenAI to build intelligent applications.

Upon completing this training, participants will be equipped to:

• Grasp the core principles of Generative AI and its practical applications.
• Provision and manage Azure OpenAI services.
• Integrate OpenAI models into Java-based applications.
• Deploy AI-driven features within web applications.

During this instructor-led, live training at South Korea (onsite or remote), participants will explore the core concepts, components, and services of Microsoft Azure while building a sample cloud application.

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

• Understand the fundamentals of Microsoft Azure
• Recognize and utilize different Azure tools and services
• Learn how to leverage Azure for building cloud applications

The Internet of Things (IoT) serves as a network infrastructure that wirelessly links physical objects with software applications, enabling them to communicate and exchange data through network communications, cloud computing, and data capture. Azure provides a comprehensive suite of cloud services, including an IoT Suite that features preconfigured solutions designed to help developers accelerate the creation of IoT projects.

In this instructor-led live training, participants will learn how to develop IoT applications using Azure.

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

• Understand the fundamentals of IoT architecture
• Install and configure Azure IoT Suite
• Learn the benefits of using Azure in programming IoT systems
• Implement various Azure IoT services (IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, IoT Device Management)
• Build, test, deploy, and troubleshoot an IoT system using Azure

Audience

• Developers
• Engineers

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

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

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

Upon completing this training, participants will be able to:

• Install and configure Kubernetes, Kubeflow, and other required software on Azure.
• Utilize Azure Kubernetes Service (AKS) to streamline the process of initializing a Kubernetes cluster on Azure.
• Build and deploy a Kubernetes pipeline to automate and manage ML models in production environments.
• Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
• Exploit other AWS managed services to enhance an ML application.