Microsoft Azure AI Engineer Associate: Designing and Implementing AI Solutions

This course prepares you for the Microsoft Azure AI Engineer Associate role by focusing on the practical tools and techniques needed to build AI solutions on Azure. You will explore and make use of AI conversational assistants, and design and implement Computer Vision Solutions using Azure services. The curriculum also covers developing Natural Language Processing Applications and designing Knowledge Mining Solutions with Document Intelligence. A key component is Generative AI with Content Moderation Solutions, which teaches you how to apply content moderation to generative models. Note that the AI-102: Microsoft Azure AI Engineer Associate certification will retire on June 30, 2026, and learners are encouraged to complete their certification journey and attempt the exam before that date.

What this particular course does with that subject is structured around five core modules. You start with Azure AI solutions: Planning and Management, which covers the foundational aspects of deploying AI on the cloud. This is followed by Computer Vision Models, where you learn to build and deploy image analysis systems. The Natural Language Processing (NLP) Solutions module teaches you how to develop applications that understand and generate human language. Knowledge Mining with Document Intelligence Solutions shows how to extract insights from unstructured data. Finally, Generative AI with Content Moderation Solutions addresses the responsible creation and management of AI-generated content.

At the end of the course, a learner can explore AI conversational assistants, design and implement Computer Vision Solutions, develop Natural Language Processing Applications, and design Knowledge Mining Solutions. You will also be able to apply Generative AI with Content Moderation in practical scenarios. These outcomes map directly to the skills tested in the AI-102 certification, which include Responsible AI, Model Deployment, and OpenAI integration.

Honest limits of this course include the retirement of the AI-102 certification on June 30, 2026. If that date passes, the credential may no longer be valid. Additionally, the course is marked as Beginner level and moves at a Self-paced mode, which may not suit someone looking for live instructor interaction. The price is Not published by the provider, and the mode is Self-paced rather than cohort-based. Learners skilled in C Python and REST-based APIs may find the content aligns with their existing abilities, but those without that foundation may need additional preparation. The course does not cover post-certification career pathways beyond the skills listed.