AI-901: Microsoft Azure AI Fundamentals

Be well prepared for the exam and learn how to build and apply AI solutions in Azure in practice.

Learning Center Microsoft Certificering AI 900

AI is no longer a thing of the future; it is part of everyday reality in modern software. From chatbots and speech recognition to intelligent search and image analysis, Microsoft Azure offers many possibilities to build and integrate AI solutions. The AI-901 certification helps you understand how this technology works and how to apply it in practice. You will learn the core principles of AI, machine learning, and generative AI, and how to translate these into practical applications within your organization.

Learn to apply AI responsibly and effectively

With this certification track, you will develop insight into the key AI concepts and building blocks within the Azure ecosystem. After completing the training:

  • You understand the basics of AI and machine learning, including training and evaluation processes
  • You can distinguish between AI models, their purposes, and applications
  • You know which Azure services are suitable for language, vision, speech, and generative AI
  • You understand at a high level how AI solutions are built within Azure
  • You can assess AI solutions in terms of reliability, privacy, and ethics
  • You are well prepared for the Microsoft exam AI-901

What you’ll learn

The content is based on the official Microsoft exam guide and provides a broad introduction to AI with Azure:

  • Core principles of AI
    • Applications of AI: classification, prediction, detection, and automation
    • Differences between AI, machine learning, deep learning, and generative AI
    • Understanding datasets, training, and evaluation processes
  • Working with Azure Machine Learning and AI platforms
    • Setting up environments for developing AI solutions
    • Basic principles of training and using models
    • Understanding how AI solutions are deployed to production
  • Using Azure AI services
    • Language Services (translation, sentiment analysis, text analytics)
    • Vision Services (image recognition and OCR)
    • Speech Services (speech-to-text and text-to-speech)
    • Azure OpenAI Service: introduction to generative AI and large language models
    • Azure AI Search and RAG concepts
  • Responsible AI
    • Principles of Responsible AI
    • Privacy, fairness, accountability, and transparency
    • Governance and compliance in AI projects

Practical info

  • Target audience: Software and data engineers, consultants, and IT professionals who want foundational knowledge of AI concepts and Azure services
  • Level: Fundamentals (entry level)
  • Duration: Tailored, depending on knowledge level and needs
  • Location: Remote or classroom-based
  • Materials: Official Microsoft course material, supplemented with practical cases
  • Cost: Depends on training needs and program duration

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