​All That You Need to Know About Azure AI

​Smarter Solutions Ahead

​with Microsoft Student Ambassadors

​📅 Saturday, January or February 2026 - Date TBD
🌐 Virtual

​About Event

​Azure AI provides a comprehensive set of services for building intelligent applications across language, vision, and machine learning. This workshop delivers a clear, structured walkthrough of the Azure AI ecosystem, helping participants understand what services exist, how they fit together, and when to use each one.

​The event begins with an opening panel to establish context, followed by three focused sessions that collectively cover Azure AI services, Azure Machine Learning, application integration, and best practices.

​This event is beginner-friendly and designed for students, developers, and data professionals exploring AI on Azure.
No prior AI or machine learning experience is required.

​You’ll Explore

​• The Azure AI platform and service landscape
• Language and NLP services in Azure
• Computer Vision and multimodal AI capabilities
• Azure Machine Learning fundamentals
• Application integration patterns using APIs
• Deployment, optimization, and responsible AI considerations

​AGENDA

​Opening Panel – Understanding the Azure AI Ecosystem

​6:30 PM IST | 1:00 PM CET & WAT | 2:00 PM EET

​This opening panel establishes a shared mental model of Azure AI and sets the foundation for the sessions that follow.

​Discussion focus:
• What Azure AI includes and how services are organized
• Azure AI vs Azure Machine Learning
• Pre-built AI services vs custom ML models
• Common AI workloads on Azure and service selection

​Session 1 – Azure AI Services: Language, Vision & Cognitive Capabilities

​7:00 PM IST | 1:30 PM CET & WAT | 2:30 PM EET

​Building Intelligent Applications with Pre-Built Azure AI Services

​This session introduces Azure’s pre-built AI services across language and vision, showing how developers quickly add intelligence to applications.

​Focus areas:
• Azure AI Language overview
• Sentiment analysis, text analytics, and entity recognition
• Computer Vision and image analysis services
• Video analysis concepts
• When pre-built Cognitive Services are the right choice

​Session 2 – Azure Machine Learning

​7:45 PM IST | 2:15 PM CET & WAT | 3:15 PM EET

​From Training to Deployment with Azure ML

​This session introduces Azure Machine Learning as the platform for building, training, and deploying custom AI models when pre-built services are not enough.

​Focus areas:
• Azure ML overview and core concepts
• Model training and experimentation
• Deployment and lifecycle management
• How Azure ML complements Azure AI services

​Session 3 – Integrating Azure AI into Applications & Best Practices

​8:30 PM IST | 3:00 PM CET & WAT | 4:00 PM EET

​APIs, Architecture, and Responsible AI

​This session focuses on how Azure AI and Azure ML are integrated into real applications, along with best practices for operating AI solutions in the cloud.

​Focus areas:
• API-based integration with Azure AI services
• Python and C# integration patterns
• Application architecture considerations
• Performance and scalability basics
• Responsible AI, governance, and optimization