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DW-201: Building and Modernizing AI Apps on Azure Course Overview

DW-201: Building and Modernizing AI Apps on Azure Course Overview

The DW-201: Building and Modernizing AI Apps on Azure Workshop is a comprehensive 16-hour course designed for IT professionals looking to enhance their skills in AI application development on Azure. Participants will explore crucial topics including Azure AI Services, DevOps practices, and well-architected frameworks. Hands-on labs will provide practical experience in creating and deploying web apps, containerization, and utilizing Azure AI capabilities such as speech translation and content moderation. By the end of the course, learners will gain the ability to effectively design, secure, and optimize AI applications on Azure, equipping them to meet the demands of modern cloud technology environments.

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Course Prerequisites

Prerequisites for DW-201: Building and Modernizing AI Apps on Azure Workshop

To successfully undertake the DW-201 workshop, learners should have the following minimum required knowledge:


  • Basic Understanding of Cloud Computing: Familiarity with cloud concepts and services, particularly Azure.
  • Fundamental Programming Skills: Experience with at least one programming language (e.g., C#, Python, or JavaScript) for application development.
  • Introduction to Web Development: Knowledge of web application fundamentals, including front-end technologies (HTML, CSS, JavaScript) and back-end frameworks.
  • Familiarity with Databases: Basic understanding of relational databases and SQL to interact with data services.
  • Basic Knowledge of Version Control: Familiarity with Git and version control concepts, as DevOps practices will be covered.

These prerequisites will ensure that participants can fully engage with the course content and derive maximum benefit from the hands-on labs and learning modules.


Target Audience for DW-201: Building and Modernizing AI Apps on Azure Workshop

DW-201: Building and Modernizing AI Apps on Azure Workshop focuses on developing AI applications using Azure's robust services, aimed at enhancing skills in cloud computing and AI deployment.


Target Audience:


  • Cloud Solutions Architects
  • AI Developers
  • Software Engineers
  • DevOps Engineers
  • Data Engineers
  • IT Project Managers
  • Systems Administrators
  • Database Administrators
  • IT Consultants
  • Business Analysts
  • Tech Entrepreneurs
  • ML/AI Researchers
  • Students pursuing IT and Cloud Computing degrees
  • Professionals transitioning to AI and cloud-based roles


Learning Objectives - What you will Learn in this DW-201: Building and Modernizing AI Apps on Azure Workshop?

Course Overview

The DW-201: Building and Modernizing AI Apps on Azure Workshop equips students with essential skills in Azure AI services, DevOps practices, database management, and security to effectively build and deploy innovative AI applications.

Learning Objectives and Outcomes

  • Understand Azure AI Services and their responsible use in application development.
  • Implement DevOps practices utilizing GitHub for planning, delivery, testing, and securing applications.
  • Build and deploy applications using Azure App Service, Azure Kubernetes Service (AKS), and Azure Functions.
  • Integrate Azure SQL Database and Azure Cosmos DB into web applications for effective data storage and access.
  • Explore Azure AI Services, including Speech, Language, and Vision services, to enhance app functionality.
  • Utilize Azure OpenAI Service for tasks like content generation and intent recognition through prompting techniques.
  • Apply the Well-Architected Framework principles for reliability, security, and performance in AI application architecture.
  • Implement security measures using Azure Key Vault and Azure Active Directory (Entra ID) for authentication and authorization.
  • Gain hands-on experience with real-world lab exercises in deploying and securing applications on Azure.
  • Develop skills for cost optimization and operational excellence in cloud application management.

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