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Microsoft Certified: Azure AI Fundamentals (AI900)

The Microsoft AI-900 (Azure AI Fundamentals) certification course serves as an entry-level program designed to provide a fundamental understanding of Artificial Intelligence (AI) and its applications within the Azure ecosystem.

Our one-day certification training is aimed at individuals who want to demonstrate their knowledge of machine learning and artificial intelligence (AI) concepts and their familiarity with associated Microsoft Azure services. In this course, trainees will learn how to use Azure services to create machine learning, computer vision, natural language processing, and conversational AI solutions through practical activities. This course is intended for individuals with both technical and non-technical backgrounds.

This course provides comprehensive preparation for the AI-900: Microsoft Azure AI Fundamentals exam, leading to the Microsoft Certified: Azure AI Fundamentals certification.

Related trainings

Exclusives

  • Class material: Complete and up to date with Microsoft Learn
  • Proof of attendance: Digital badge for completing the official Microsoft course
  • Fast and guaranteed schedule: Maximum wait of 4 to 6 weeks after participant registrations, guaranteed date

Private class

Reserve this training exclusively for your organization with pricing adapted to the number of participants. Our pricing for private classes varies according to the size of your group, with a guaranteed minimum threshold to maintain pedagogical quality.

  • Volume-based pricing discount according to the number of participants
  • Training delivered in an environment dedicated to your team
  • Scheduling flexibility according to your availability
  • Enhanced interaction among colleagues from the same organization
  • Same exclusive benefits as our public training sessions

How to get a proposal?

Use the request form by specifying the number of participants. We will quickly send you a complete proposal with the exact pricing, available dates, and details of all the benefits included in your private training.

Introduction to AI in Azure (AI-900T00)

Training plan

  • Introduction to AI concepts
  • Introduction to machine learning concepts
  • Get started with machine learning in Azure
  • Introduction to generative AI concepts
  • Get started with generative AI in Azure
  • Introduction to natural language processing concepts
  • Get started with natural language processing in Azure
  • Get started with speech in Azure
  • Introduction to computer vision concepts
  • Get started with computer vision in Azure
  • Introduction to AI-powered information extraction concepts
  • Get started with AI-powered information extraction in Azure

Recommended prerequisite knowledge

  • Experience using computers and the internet.
  • Interest in use cases for AI applications and machine learning models. 
  • A willingness to learn through hands-on exploration.

Credentials and certification

Exam features

  • Code: AI-900
  • Title: Introduction to AI in Azure
  • Duration: 60 minutes
  • Number of Questions: 65
  • Question Format: Multiple choice, multiple response, scenario-based
  • Passing Score: 700 out of 1000
  • Cost: $99 USD

Exam topics

  • Describe Artificial Intelligence workloads and considerations  
  • Describe fundamental principles of machine learning on Azure  
  • Describe features of computer vision workloads on Azure  
  • Describe features of Natural Language Processing (NLP) workloads on Azure  
  • Describe features of generative AI workloads on Azure

Check all exam details on Microsoft Learn >>

Eccentrix Corner Articles: Azure AI Fundamentals AI-900 Resources

Explore our technical articles on Azure AI Fundamentals AI-900 published on Eccentrix Corner. These resources dive deeper into key concepts, share best practices, and provide practical guides to maximize your learning and certification success. Our experts share real-world insights to help you master artificial intelligence fundamentals on Azure.

Microsoft Certified: Azure AI Fundamentals (AI-900) Training

The Microsoft Certified: Azure AI Fundamentals (AI-900) training provides an essential introduction to artificial intelligence concepts and their implementation using Microsoft Azure. This course covers the basics of AI, Azure Cognitive Services, natural language processing, and computer vision, equipping participants with the knowledge needed to understand how artificial intelligence can transform businesses.

Ideal for beginners and professionals exploring AI-based solutions, this training also prepares participants to pass the AI-900 exam and earn the Azure AI Fundamentals certification.

Why Choose the Azure AI Fundamentals Training?

With the growing adoption of artificial intelligence, understanding its fundamental concepts is a valuable asset. This training provides a solid foundation for exploring AI technologies and their application in professional environments. The Azure AI Fundamentals certification validates your knowledge and demonstrates your ability to integrate AI solutions into projects.

Whether you’re a novice or an IT professional looking to expand your skills, this course is an ideal entry point into the field of artificial intelligence.

Key Skills Developed in the Training

  1. Understand the basics of artificial intelligence
    Learn key concepts, including machine learning, predictive models, and types of artificial intelligence.

  2. Explore Azure Cognitive Services
    Get familiar with services like Azure Cognitive Services for text analysis, computer vision, and chatbots.

  3. Identify AI use cases
    Learn to recognize business scenarios where AI solutions can enhance operations and decision-making.

  4. Work with AI technologies like computer vision and NLP
    Understand how Azure facilitates image recognition, text processing, and other advanced features.

  5. Integrate AI solutions into existing environments
    Discover how to use Azure AI APIs to enrich your applications and enhance user experiences.

  6. Build a foundation for advanced certifications
    Use this training as a stepping stone to more specialized AI certifications like Azure AI Engineer Associate.

Interactive, Instructor-Led Training

The Azure AI Fundamentals training is delivered by Microsoft-certified experts, combining clear explanations with practical examples. Participants will gain an understanding of AI basics while exploring Azure services and working on real-world scenarios. This interactive format ensures an engaging and enriching learning experience.

Who Should Attend?

This training is ideal for:

  • Professionals curious about artificial intelligence concepts
  • Beginners in AI looking to familiarize themselves with practical applications
  • Companies looking to train their employees on AI fundamentals
  • Anyone preparing for the Azure AI Fundamentals (AI-900) certification

Discover the Fundamentals of Artificial Intelligence with Azure

The Microsoft Certified: Azure AI Fundamentals (AI-900) training is an essential step to understanding AI basics and exploring how these technologies can transform professional environments. Enroll today to earn a recognized certification and take your first step into the field of artificial intelligence.

AI-900 Exam Success Strategies

Mastering the AI-900 certification requires more than technical knowledge – strategic preparation, effective time management, and optimal mental performance are equally crucial for success.

AI-900 Exam Statistics & Success Rates

  • Average Pass Rate: 75-80% on first attempt (Microsoft Fundamentals level average)
  • Most Common Score Range: 750-850 for passing candidates
  • Average Study Time: 3-4 weeks for IT professionals, 4-6 weeks for beginners
  • Retake Rate: 15-20% of candidates require a second attempt
  • Top Failure Areas: Machine learning concepts and model types (29%), responsible AI principles (26%), computer vision and NLP service capabilities (24%)

Study Method Comparison

Study Approach Duration Pass rate Best For

Hands-on Practice Only

2-3 weeks

60-65%

Experienced users

Documentation + Practice

3-4 weeks

80-85%

Methodical learners

Training + Labs + Practice

4-5 weeks

90-95%

Comprehensive preparation

Practice Tests Only

1-2 weeks

50-60%

Not recommended

Strategic Study Approach

  • Create a 3-4 week study timeline – Fundamentals level allows for shorter preparation than associate certifications
  • Follow the 60-30-10 rule – 60% understanding AI concepts and services, 30% hands-on exploration, 10% practice tests
  • Focus on conceptual learning – AI-900 emphasizes understanding AI capabilities and use cases over technical implementation
  • Study in 60-minute focused blocks with 10-minute breaks to maximize retention for concept-heavy material

Common Exam Pitfalls to Avoid

  • Don’t confuse AI service categories – understand the differences between machine learning, computer vision, natural language processing, and conversational AI
  • Supervised vs. unsupervised vs. reinforcement learning – know when each machine learning approach is appropriate
  • Azure Cognitive Services vs. Azure Machine Learning – distinguish between pre-built AI services and custom model development
  • Computer vision capabilities confusion – understand what each vision service (Computer Vision, Custom Vision, Face API, Form Recognizer) can accomplish
  • Natural language processing features – know the capabilities of Text Analytics, Language Understanding, QnA Maker, and Translator services
  • Responsible AI principles application – understand how fairness, reliability, safety, privacy, inclusiveness, transparency, and accountability apply to AI solutions

Topic Weight Distribution

Exam Domain Weight Focus Areas Priority

Describe Artificial Intelligence Workloads and Considerations

15-20%

AI concepts, responsible AI principles

High

Describe Fundamental Principles of Machine Learning on Azure

20-25%

ML types, Azure ML service, model training

Critical

Describe Features of Computer Vision Workloads on Azure

15-20%

Image analysis, object detection, OCR

High

Describe Features of Natural Language Processing (NLP) Workloads on Azure

15-20%

Text analysis, language understanding, translation

High

Describe Features of Conversational AI Workloads on Azure

15-20%

Chatbots, voice assistants, Bot Framework

High

Exam Day Time Management

  • Allocate 60 seconds per question on average – fundamentals questions are typically more straightforward than associate level
  • Read all answer options carefully – fundamentals exams often have similar-sounding answers
  • Don’t overthink conceptual questions – your first instinct is usually correct for fundamentals-level content
  • Reserve 10 minutes at the end for reviewing flagged questions and checking answers

Managing Exam Stress & Performance

  • Get 7-8 hours of quality sleep the night before – avoid last-minute cramming
  • Arrive 30 minutes early to settle in and complete check-in procedures calmly
  • Use deep breathing techniques if you feel overwhelmed during the exam
  • Trust your preparation – fundamentals exams test understanding, not memorization

Technical Preparation Tips

  • Explore Azure AI services in the portal – familiarize yourself with available AI services and their capabilities
  • Try AI service demos and samples – get hands-on experience with Computer Vision, Text Analytics, and other services
  • Understand AI ethics and responsible AI – know how to implement AI solutions responsibly and ethically
  • Review real-world AI use cases – understand how different industries apply AI technologies

Final Week Preparation

  • Take 2-3 practice exams to identify knowledge gaps and build confidence
  • Review Microsoft’s official exam objectives one final time
  • Focus on responsible AI and ethics concepts – these are often the most challenging areas
  • Prepare your exam day logistics – route to test center, required identification, arrival time

Mental Preparation Strategies

  • Visualize success scenarios – imagine yourself confidently answering questions
  • Remind yourself this is fundamentals level – questions test understanding, not deep technical implementation
  • Stay positive during difficult questions – every candidate faces challenging scenarios
  • Remember that 700/1000 passes – you don’t need perfection, just solid understanding

How to Schedule Your AI-900 Exam

  • Official Testing Provider: Pearson VUE is Microsoft’s authorized testing partner for AI-900
  • Scheduling Process: Create a Pearson VUE account, search for “AI-900”, select your preferred test center and date
  • Exam Cost: $99 USD (prices may vary by region and currency) – not included with training as this is a fundamentals-level certification
  • Scheduling Timeline: Book at least 1-2 weeks in advance for better time slot availability
  • Rescheduling Policy: Free rescheduling up to 24 hours before your exam appointment
  • Required ID: Government-issued photo ID (passport, driver’s license) matching your registration name exactly

Success Mindset: Approach AI-900 as a validation of your understanding of AI concepts and business applications rather than a test of technical implementation skills. Your knowledge of how AI solutions solve real-world problems is your greatest asset.

Frequently Asked Questions about the Azure Fundamentals AI-900 training (FAQ)

The course covers AI fundamentals, Azure Cognitive Services, computer vision, and AI use cases.

This course is designed for beginners and IT professionals looking to understand the fundamentals of AI.

You will use services like Azure Machine Learning, Azure Cognitive Services, and Azure AI APIs.

Yes, the course is designed for those with no prior experience in artificial intelligence or Microsoft Azure.

The certification validates your basic knowledge of AI and enhances your professional profile, whether you’re starting in the field or exploring new opportunities.

The course provides a fundamental understanding that prepares participants for specialized certifications like Azure AI Engineer Associate or Azure Data Scientist Associate.

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