Microsoft Certified: Azure AI Fundamentals (AI-900)

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15 – 25 hours

Entry-Level

MSV3DAI

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Key Details

The Microsoft Certified: Azure AI Fundamentals (AI-900) qualification introduces core principles of machine learning, computer vision, natural language processing, and generative AI on Azure. Aimed at product managers, line leads, and technical planners, this course outlines practical AI workloads and ethical considerations. Candidates learn to evaluate artificial intelligence capability to automate routine operational tasks. Training your staff to AI-900 standards helps bridge the gap between business strategy and emerging technologies, enabling your organisation to identify realistic automation opportunities and deploy AI solutions responsibly.

  • Module 1: Artificial Intelligence Workloads and Considerations – Focuses on identifying core AI workloads and scenarios while applying responsible AI principles, including fairness, transparency, privacy, and accountability.
  • Module 2: Fundamental Principles of Machine Learning on Azure – Covers foundational machine learning concepts, supervised and unsupervised learning models, and automated pipeline development using Azure Machine Learning services.
  • Module 3: Features of Computer Vision Workloads on Azure – Explores image processing, object detection, optical character recognition (OCR), and image classification using Azure AI Vision and Custom Vision services.
  • Module 4: Features of Natural Language Processing (NLP) Workloads on Azure – Details text analytics, sentiment analysis, speech recognition, language translation, and intent processing using Azure AI Language and Azure AI Speech capabilities. Module 5: Features of Generative AI Workloads on Azure – Examines generative AI principles, foundational language models, prompt engineering, tokenisation, and enterprise generative deployments using Azure OpenAI Service.

Candidates participate in continuous formative evaluations throughout the course, engaging with interactive knowledge checks, scenario-based practice questions, and mock examinations to monitor progress. Summative evaluation is conducted via the official invigilated Microsoft Azure AI Fundamentals (AI-900) examination, a 45-minute closed-book assessment featuring multiple-choice, drag-and-drop, and matching items. Candidates must achieve a scaled score of 700 out of 1000 or higher to demonstrate foundational competence and earn their certification.

Achieving this certification opens direct pathways into entry-level technical and operational roles, such as AI Project Coordinator, Junior Cloud Analyst, Business Intelligence Assistant, and Technology Consultant. Successful candidates are ideally positioned to advance towards role-based Associate credentials, including Microsoft Certified: Azure AI Engineer Associate (AI-102) or Microsoft Certified: Azure Data Scientist Associate (DP-100). Furthermore, this credential provides an authoritative stepping stone towards executive post-candidate study in artificial intelligence strategy and digital transformation.

There are no formal academic or technical prerequisites required to enrol in this foundational course, making it accessible to technical and non-technical professionals alike. A foundational awareness of internet technologies and general computing concepts is recommended to ensure optimal learning outcomes.

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    Dates & Prices

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      Self Paced

      Online

      6 months access

      263053

      £795

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