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AI-900 Microsoft Azure AI Fundamentals
About the Certification
This is an entry-level certification in Artificial Intelligence and Azure AI services. It does not require prior experience in programming or advanced mathematics. Its primary objective is to help candidates understand fundamental AI concepts and gain introductory, hands-on exposure to Azure AI services in a simple and accessible manner.
Main Curriculum
The curriculum is divided into three major parts
- Introduction to Azure AI Services
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- Computer Vision: Image analysis, facial recognition, and text extraction
- Natural Language Processing (NLP): Text understanding, sentiment analysis, and translation
- Speech Services: Speech recognition, text-to-speech, and speech-to-text
- Azure Bot Services: Building chatbots in a simple and practical way
- Fundamentals of Azure Machine Learning
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- Types of learning (Supervised / Unsupervised)
- Introduction to Azure ML Studio
- Model training and evaluation steps
- Ethical responsibility in Artificial Intelligence (Responsible AI)
- Core Artificial Intelligence Concepts
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- Types of Artificial Intelligence
- Differences between Artificial Intelligence, Machine Learning, and Deep Learning
- Common AI use cases and scenarios
Exam Details :
- Exam code: AI-900
- Duration: 45–60 minutes
- Question types: Multiple choice and basic scenario-based questions
- Language: English and other languages
- Number of questions: 40–60
- Passing score: 700 out of 1000
- Exam fee: USD 50–99 (may vary by country and may include taxes in some regions)
- Certificate validity: does not expire.
Do I need any certifications before it ?
No prerequisites are required.
The AI-900 certification is designed as an entry point and does not require any prior certifications or background knowledge.
Which certifications are recommended after this one ?
Not mandatory. However, for those aiming to pursue a strong career path in Artificial Intelligence, the AI-900 certification provides a solid foundation.
What are the main uses of the AI-900 certification ?
- AI-102 — Azure AI Engineer: For building advanced AI solutions using Azure Cognitive Services.
- DP-100 — Machine Learning Engineer: For specializing in training, deploying, and managing Machine Learning models.
- DP-900: For strengthening data fundamentals before advancing deeper into Machine Learning.
- AZ-900: For establishing a strong cloud foundation, as most AI solutions are built on Azure.
Your First Step into the World of Artificial Intelligence :
A light yet powerful step that provides a genuine understanding of Artificial Intelligence and opens doors to more advanced specializations in the future.
Who is this certification suitable for ?
- Beginners in Artificial Intelligence seeking a clearer foundational understanding.
- Professionals in non-technical roles with an interest in AI and digital transformation.
- Technical individuals planning to specialize later in Machine Learning or Cognitive Services.
- Employees or students aiming to strengthen their CV with Microsoft-certified AI skills.