Explain core AI concepts, machine learning types, workloads, evaluation metrics, and responsible AI principles.

Build and deploy no-code machine learning pipelines using Azure AutoML and Azure ML Designer.

Apply Azure AutoML and ML Designer to build and deploy no-code machine learning models.

Identify and apply Azure services for computer vision, natural language processing, and conversational AI.

Identify suitable Azure data services and storage solutions for different business scenarios.

Differentiate relational and NoSQL data models and apply basic SQL database concepts.

Explain data integration workflows and visualize business insights using Azure Data Factory and Power BI.

Explain how Azure Data Factory and Power BI integrate data, automate workflows, and visualize business insights.

Learners will configure Azure SQL environments, connectivity, deployment models, and sample databases.

Evaluate database solutions based on performance, security, availability, and scaling requirements for Azure workloads.

Learners will evaluate Azure database solutions for performance, security, availability, scalability, and compliance.

Learners will plan and execute Azure database migrations while minimizing downtime and maintaining data integrity.

Configure Azure virtual machines, storage, virtual networks, subnets, DNS, VPNs, and hybrid connections.

Deploy and scale Azure web applications using App Services, availability sets, WebJobs, and monitoring tools.

Plan on-premises migrations and explain Azure recovery, virtualization, and advanced enterprise services.

Demonstrate on-premises migration and apply advanced Azure services, including Machine Learning, BizTalk, HDInsight, and Traffic Manager.

Implement Azure Cognitive Services to build intelligent applications using vision, speech, language, and decision APIs.

Configure REST APIs and Azure AI services to process images, documents, speech, and text in practical applications.

Develop AI-powered solutions using Custom Vision, Form Recognizer, Speech Services, and language understanding tools.

Design adaptive applications with anomaly detection, Personalizer, and Web Search APIs to deliver intelligent user experiences.

Configure Azure QnA Maker and prepare an FAQ knowledge base for an AI-powered chatbot.

Integrate Azure Cognitive Services with a REST-enabled Java chatbot application.

Debug, validate, and deploy chatbot applications while managing Azure resources and operational costs.

Configure and manage Azure virtual machines, storage services, and subscriptions using portals and command-line tools.

Implement secure Azure networks using subnets, NSGs, load balancers, VPN Gateway, and Traffic Manager.

Deploy and scale web applications with Azure App Services and automate background tasks using WebJobs.

Implement scalable web applications using Azure App Services and WebJobs for practical cloud deployments.

Learners will design Azure Data Lake workflows for ingesting, transforming, aggregating, and managing large datasets.

Learners will construct reusable U-SQL scripts, views, functions, and stored procedures for scalable data processing.

Learners will monitor and optimize U-SQL jobs using diagnostics, job graphs, heat maps, and vertex execution views.

Interpret job diagnostics, performance metrics, and pricing models to optimize Azure Data Lake workloads and costs.

Design and deploy end-to-end data pipelines using Azure Data Factory, datasets, copy activities, and triggers.

Design and deploy end-to-end data pipelines using Azure Data Factory, datasets, copy activities, and triggers.

Integrate Azure Data Lake and build scalable workflows using dynamic datasets, parameters, and input validation.

Design scalable pipelines by integrating Azure Data Lake, configuring dynamic datasets, and validating pipeline inputs.

The learner will provision and manage Azure App Services for cloud-native web and mobile applications.

The learner will deploy web and mobile applications using Visual Studio and Azure-integrated tools.

The learner will configure Azure Storage and Azure SQL Database for scalable, secure application data.

Manage cloud-native applications using Azure's managed services for efficient deployment and operations.

Deploy and manage secure, scalable cloud applications using Azure App Services.

Configure Azure databases, virtual machines, networks, APIs, CDN, and automated workflows.

Build messaging and event-driven solutions using Azure Service Bus, Functions, and Event Grid.

Construct Azure networking, Service Bus messaging, and Event Grid solutions for scalable event-driven applications.

Learners will deploy cloud-based web applications using Azure App Services and FTP-based publishing.

Learners will configure Azure Active Directory and WebJobs for identity management and background automation.

Learners will integrate Azure SQL, Blob, and Table Storage and troubleshoot application deployments.

Explain the Azure web application deployment lifecycle using Azure tools and services.

Assess on-premises web applications and MS SQL databases for Azure migration readiness and compatibility.

Migrate IIS-hosted web applications to Azure App Services using Azure-supported migration tools.

Migrate MS SQL databases to Azure SQL Database and configure performance, connectivity, and secure access.

Optimize migrated web applications and databases by analyzing compatibility, connectivity, and cloud performance.

Explain Azure PaaS concepts and their role in hosting ASP.NET web applications.

Deploy ASP.NET applications and SQL databases in a Microsoft Azure cloud environment.

Evaluate application performance and manage data migration for cloud deployment.

Apply a structured end-to-end migration workflow from preparation through deployment and post-migration validation.