AI‑102 Study Notes – Start Here
Introduction
When I was studying for the AI-102 exam I took a lot of notes. I've tidied these up and added these to the Exam topics section, where you'll find study notes, tips etc. for each topic. It also includes links to the official Microsoft docs for more detail where needed. Where I've found a particuarly useful GitHub repo or blog post, I've included that as well.
Happy studying and good luck with the exam!
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Exam Overview
The AI-102 exam is the only exam needed to obtain the Microsoft Certified: Azure AI Engineer Associate certification.
According to Microsoft -
As a Microsoft Azure AI engineer, you build, manage, and deploy AI solutions that leverage Azure AI.
Your responsibilities include participating in all phases of AI solutions development, including:
- Requirements definition and design
- Development
- Deployment
- Integration
- Maintenance
- Performance tuning
- Monitoring
You work with solution architects to translate their vision. You also work with data scientists, data engineers, Internet of Things (IoT) specialists, infrastructure administrators, and other software developers to:
- Build complete and secure end-to-end AI solutions.
- Integrate AI capabilities in other applications and solutions.
As an Azure AI engineer, you have experience developing solutions that use languages such as:
- Python
- C#
You should be able to use Representational State Transfer (REST) APIs and SDKs to build secure image processing, video processing, natural language processing, knowledge mining, and generative AI solutions on Azure. You should:
- Understand the components that make up the Azure AI portfolio and the available data storage options.
- Be able to apply responsible AI principles.