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Microsoft Certified Azure AI Engineer Associate AI-102

Master Azure AI: Build and Deploy Intelligent Solutions with AI, ML, and Azure OpenAI

Yogesh Raheja, Thinknyx Technologies

Created by Yogesh Raheja, Thinknyx Technologies

Explore how to build and deploy intelligent solutions using Azure AI, machine learning, and generative AI tools. Gain practical experience with GPT models and large language models, and learn to optimize AI-powered applications for real-world impact. Develop the skills needed to create advanced AI solutions on the Azure platform.

Packt | Nov 2025 | 165 min

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LevelIntermediate
CategoriesLLM Engineering, Generative AI Tools and AI-Assisted Productivity, Azure, Python

What You Will Learn

You will work through practical projects and real-world scenarios using Azure's AI services. Each topic introduces a new concept, followed by demonstrations that show you how to apply these tools in Azure. By practicing these skills, you'll develop both a strong foundation and the confidence to build your own AI applications.

Key Features

  • Gain hands-on experience deploying AI models and solutions in Microsoft Azure
  • Learn to implement natural language processing and computer vision with Azure tools
  • Master prompt engineering and best practices for optimizing generative AI models

Target Audience

Designed for IT professionals, developers, and engineers with a basic understanding of cloud computing and Azure. If you are looking to advance your skills in AI engineering, especially with Microsoft Azure, and want to build intelligent applications, this course will help you reach your goals. Familiarity with programming and some AI concepts is helpful but not required.

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