Introduction to AI in Azure (AI-900)

This course is for aspiring technology professionals at the beginning of their career in AI solution development. Some knowledge of Python coding syntax and programming techniques is useful. Additionally, knowledge of core cloud concepts, including cloud storage, cloud compute, and cloud-based authentication and authorization is recommended.

After completing this course, learners will be able to:

• Describe core artificial intelligence concepts and common AI workload types.
• Explain fundamental machine learning principles and how ML models are trained and evaluated on Azure.
• Identify Azure services for computer vision workloads, including image analysis and optical character recognition.
• Describe natural language processing (NLP) workloads such as text analysis, translation, and conversational AI.
• Explain conversational AI concepts, including chatbots and Azure AI services that enable them.
• Understand responsible AI principles and considerations when designing AI solutions on Azure.

Module 1: AI concepts for developers and technology professionals

• Introduction to AI concepts
• Introduction to generative AI and agents
• Introduction to natural language processing concepts
• Introduction to AI speech concepts
• Introduction to computer vision concepts
• Introduction to AI-powered information extraction concepts

Module 2: Get started with AI applications and agents on Azure

• Get started with AI in Azure
• Get started with generative AI and agents in Azure
• Get started with text analysis in Azure
• Get started with speech in Azure
• Get started with computer vision in Azure
• Get started with AI-powered information extraction in Azure

• There are no formal prerequisites for this course. AI 900 is designed for learners with general computer literacy and an interest in understanding artificial intelligence concepts and Azure AI services.

• Microsoft Certified: Azure AI Fundamentals
  

• None