Applied AI on Microsoft Azure
Learn basics of machine learning, cognitive services, and how to build AI solutions.
Target Audience
Business professionals, developers, and anyone keen to explore and leverage the capabilities of AI in various business applications.
Skills You'll Gain
Course Modules
Introduction to Microsoft AI Platform
Dive into the fascinating world of artificial intelligence and machine learning, understanding their foundational concepts and significance in business settings.
Azure AI Services
Explore a suite of cloud-based AI services including natural language processing, search, monitoring, translation, speech, vision, and decision-making.
Azure Machine Learning
Learn about the service that accelerates the machine learning project lifecycle, from training and deploying models to managing MLOps.
Azure AI Studio
Build, evaluate, and deploy generative AI solutions and custom copilots using this all-in-one AI hub platform.
Microsoft Fabric
Explore the integrated analytics platform combining Azure Data Factory, Azure Synapse Analytics, and Power BI for enterprise data management.
AI Builder in Power Automate
Enhance automated workflows with artificial intelligence using prebuilt AI models or create custom models for specific needs.
ML.NET
Learn about the open-source machine learning framework for .NET developers to create custom models using C# or F#.
Semantic Kernel
Create AI agents capable of interfacing with existing code, supporting integration with models from OpenAI, Azure OpenAI, and more.
This course covers the basics of machine learning, cognitive services, and how to build AI solutions on Azure. It includes hands-on exercises and projects to apply AI concepts in real-world scenarios.
What You’ll Learn
- Proficiency in leveraging the Microsoft AI platform
- Competence in utilizing Azure AI Studio for building and deploying AI models
- Understanding of Microsoft Fabric and its role in AI integration
- Ability to implement AI solutions using AI Builder in Power Automate
- Proficiency in ML.NET and Semantic Kernel for custom development
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