Microsoft Certified Azure AI Engineer Associate AI-102

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Microsoft Certified Azure AI Engineer Associate AI-102

Coursera · Intermediate ·💻 AI-Assisted Coding ·1d ago
Skills: ML Pipelines80%
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Prepare to embark on a learning journey where you will become proficient in using Azure AI services to design, build, and implement AI solutions. This course provides hands-on demonstrations and covers a wide range of AI topics, including Generative AI, Natural Language Processing, Computer Vision, and AI agents. By mastering these technologies, you will gain the expertise required to take on the role of an Azure AI Engineer Associate. The course is structured in distinct sections, each designed to walk you through core concepts, starting with foundational knowledge of AI and Azure AI tools. You will learn about different types of models, AI agents, and techniques such as Retrieval-Augmented Generation (RAG) and large language models. Through practical demonstrations, you’ll engage with Azure services like OpenAI and AI Foundry to build real-world solutions. With demonstrations on tools like Python, Azure CLI, and Vision Studio, this course ensures that you not only understand theory but also gain practical skills. From building conversational agents to leveraging AI for computer vision applications, the course provides a holistic view of the Azure AI ecosystem. This course is ideal for aspiring Azure AI engineers, developers, and anyone looking to expand their knowledge of AI technologies. It’s suitable for individuals with a technical background in software development or IT. The course is designed to be accessible to learners who are already familiar with programming basics and cloud computing. By the end of the course, you will be able to build and deploy AI solutions using Azure, integrate natural language processing into applications, design computer vision solutions, and implement advanced AI agent strategies.
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