Microsoft Azure AI Fundamentals is a certification that provides foundational knowledge of AI and its services on Azure. It covers core concepts of AI, including machine learning, computer vision, natural language processing, and generative AI, along with practical applications and considerations for AI workloads.
If you're planning to take the AI-900 exam, consider exploring my series of articles. These articles offer a comprehensive understanding of each topic, helping you to grasp the essential principles and prepare effectively for the certification exam.
What is AI and its fundamental concepts?
Understanding Fundamental AI Concepts
Describe Artificial Intelligence workloads and considerations (15-20%)
Describe fundamental principles of machine learning on Azure (20-25%)
- Understanding Machine Learning and Machine Learning Model
- Common Types of Machine Learning
- Deep Learning, Core ML Concepts and the Confusion Matrix
- Train and Validate Datasets in Machine Learning
Describe features of computer vision workloads on Azure (15-20%)
- Feature of Computer Vision Workloads on Azure
- Tools and Services for Computer and Custom Vision on Azure
- Fundamentals of Facial Services on Azure
Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
- Understanding the Essence of Natural Language Processing
- Transforming Text Analytics with NLP Workload Services
- Core Concepts of Natural Language Processing
Join the conversation! Your thoughts help the community grow.