Overview
This learning path is designed to help you prepare for the AI-100 Designing and Implementing an Azure AI Solution exam. Even if you don't plan to take the exam, these courses and hands-on labs will help you get started on your way to becoming an Azure AI engineer.
This exam is part of Microsoft’s role-based certification program. Candidates who pass the AI-100 exam will earn the Microsoft Certified: Azure AI Engineer Associate certification.
The AI-100 exam tests your knowledge of three subject areas: analyzing solution requirements, designing AI solutions, and implementing and monitoring AI solutions. This learning path starts by giving you an overview of Azure services. Once you have that foundation, we’ll dig into how to use the various Cognitive Services. They’re divided into five categories: decision, language, speech, vision, and web search. Next, we’ll show you how to build a chatbot using the Azure Bot Service. Finally, we’ll show you how to tie all of the components together into pipelines and data flows using services like Azure Data Factory.
Learning Objectives
- Analyze solution requirements
- Design AI solutions
- Implement and monitor AI solutions
Intended Audience
- Software developers who want to build artificial intelligence solutions on Azure
- People preparing for Microsoft’s AI-100 exam
Prerequisites
- General knowledge of IT architecture
- Software development experience, especially using REST APIs
Guy launched his first training website in 1995 and he's been helping people learn IT technologies ever since. He has been a sysadmin, instructor, sales engineer, IT manager, and entrepreneur. In his most recent venture, he founded and led a cloud-based training infrastructure company that provided virtual labs for some of the largest software vendors in the world. Guy’s passion is making complex technology easy to understand. His activities outside of work have included riding an elephant and skydiving (although not at the same time).