Microsoft Certified: Azure AI Engineer Associate (AI-102) Certification Training

Design and Implement AI Solutions that Solve Real-World Challenges.

This comprehensive course is designed to prepare you for the AI-102 certification, validating your skills in using Azure Cognitive Services and Azure Applied AI to build powerful, cutting-edge artificial intelligence solutions. As AI transforms industries, the ability to architect, implement, and monitor AI workloads on a scalable cloud platform is a critical and in-demand skill.

You will learn to use Azure’s AI service portfolio to create solutions for vision, language, speech, and decision-making. This course combines theory with hands-on labs, empowering you to integrate AI capabilities into applications, making them more intelligent, accessible, and impactful.

Key Benefits & Learning Outcomes:

• You will learn to:

  • Plan and manage Azure Cognitive Services solutions.

  • Implement computer vision, natural language processing, and knowledge mining solutions.

  • Create and run conversational AI solutions with Azure Bot Service.

  • Implement generative AI solutions using Azure OpenAI Service.

• You will be able to:

  • Pass the AI-102 Azure AI Engineer Associate exam with confidence.

  • Design and implement end-to-end AI solutions on Microsoft Azure.

  • Automate processes and enhance user experiences with intelligent features.

  • Position yourself at the forefront of the AI revolution in cloud computing.

Who is this course for?

• AI Engineers and Machine Learning Engineers

• Data Scientists and Developers looking to specialize in AI

• Cloud Solution Architects focusing on AI workloads

• Professionals interested in building solutions with Azure Cognitive Services and Azure OpenAI.

Requirements

To successfully complete this course and prepare for the exam, you will need:

• Technical Requirements:

  • A computer with a stable internet connection and a modern web browser.

  • An active Azure Subscription (free tier is sufficient to start).

  • Familiarity with a programming language like Python or C# is necessary for labs.

• Course-Specific Requirements:

  • Dedication to complete all coding labs and understand API integrations.

  • A problem-solving mindset and curiosity about AI capabilities.

  • We recommend a study commitment of 6-8 hours per week for 6-8 weeks to thoroughly grasp the concepts and prepare for the exam.

  • A free or paid subscription to Microsoft Azure
  • Eagerness to learn about Microsoft’s expanding cloud platform
  • Basic experience with Visual Studio (preferred but not required)
  • Previous coding experience in python or a similar language
  • Familiarity with cloud computing concepts (helpful but not mandatory)

Prerequisites

This is an associate-level certification, and while there are no formal prerequisites from Microsoft, specific foundational knowledge is required for success.

• Mandatory Prerequisites:

  • None. You can register for the AI-102 exam without any prior certifications.

• Recommended Knowledge/Skills:

  • Proficiency in Python or C# is essential for implementing the solutions in the labs and on the job.

  • A fundamental understanding of REST-based APIs and JSON.

  • Familiarity with basic machine learning concepts is highly beneficial.

  • Experience with Azure fundamentals (e.g., AZ-900 level knowledge) is recommended but not required.