AI-102 - Microsoft Certified: Azure AI Engineer Associate

Prepare for the Microsoft Certified: Azure AI Engineer Associate certification by focusing on integrating AI solutions into Azure, covering areas like cognitive services, natural language processing, and conversational AI, while emphasizing ethical AI practices. This course is tailored for AI engineers looking to build scalable, responsible AI systems on Azure.

Last Updated: 1/2025

Language: English

Instructor: Nick Colyer

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What You Will Learn

Building and Integrating AI Solutions

Master the design and integration of Azure AI solutions, utilizing Azure Cognitive Services, Azure Bot Service, and other tools. Learn how to build intelligent applications with capabilities like natural language processing, computer vision, and speech recognition. Understand how to integrate AI services seamlessly into existing applications to deliver innovative and responsible solutions.

Ethical AI Practices and Compliance

Gain insights into designing AI solutions that adhere to ethical principles and compliance standards. Learn how to implement responsible AI practices, including bias mitigation, data privacy, and accessibility, ensuring your AI systems are fair, secure, and aligned with regulatory requirements.

Optimizing and Monitoring AI Performance

Learn how to optimize AI solution performance using Azure Machine Learning, monitoring tools, and performance tuning techniques. Detect and resolve issues to maintain efficient, high-performing AI systems, and leverage Azure monitoring tools to gain real-time insights into solution health and usage.

Join the Refactored Community

Connect with fellow students and industry professionals through the Refactored community, where you can share insights, collaborate on challenges, and expand your Azure expertise.

Prerequisites

Participants should have a foundational understanding of Azure services and general technology concepts, including AI, machine learning, and cloud fundamentals. Familiarity with Azure Cognitive Services, basic programming concepts, and tools like PowerShell and Azure CLI is recommended. While prior experience with Azure is beneficial, it is not mandatory to succeed in this course.

Who Should Enroll

  • AI engineers designing and deploying AI solutions on Azure.

  • Developers building intelligent applications using Azure AI services.

  • Solution architects focused on integrating AI capabilities into cloud environments.

  • IT professionals aiming to specialize in AI and machine learning on Azure.

Course Format

This course combines interactive video lectures, hands-on labs, and real-world projects to help students apply AI concepts in practical scenarios. Delivered online, it allows for flexible, self-paced learning supplemented with guided demos and quizzes. Most participants complete the course within 3-4 weeks, depending on their pace and prior knowledge.

Certification

Successfully completing this course and passing the AI-102 exam at a Microsoft Testing Center earns participants the Microsoft Certified: Azure AI Engineer Associate certification. This credential validates their expertise in designing and implementing AI solutions using Azure services.

About Your Instructor:

Nick Colyer brings over 25 years of expertise in the IT industry and serves as the Vice President of Digital Solutions Group at AHEAD, LLC, based in Chicago, IL.

In his role, Nick oversees the strategic development and delivery of innovative digital solutions, helping organizations leverage cloud technologies to drive business transformation. He leads cross-functional teams, fosters partnerships, and ensures clients achieve measurable success through tailored, forward-thinking strategies.

As a passionate technology educator, Microsoft Certified Trainer (MCT), Microsoft Most Valuable Professional (MVP), Nick has earned the trust of thousands of students worldwide. His training courses consistently receive top reviews for their clarity, relevance, and depth.

Nick is a sought-after speaker, frequently presenting at prominent events such as AHEAD Azure Innovation Days, VMworld, and the Looking Ahead Tech Summit. He also delivers tailored briefings for major enterprise clients across the United States.

Active in the tech community, Nick regularly participates in events and engages with professionals on Twitter (@vnickc).

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