Jul 15, 2025

AI-900 M1-Describe Artificial Intelligence workloads and considerations (15-20%)
AI-900 M2-Describe fundamental principles of machine learning on Azure (20-25%)
AI-900 M3-Describe features of computer vision workloads on Azure (15–20%)
AI-900 M4-Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)
AI-900 M5-Describe features of generative AI workloads on Azure (15–20%)

Certification Track Module Duration
Azure AI Fundamentals (AI-900) M1-Describe Artificial Intelligence workloads and considerations Week-1
Identify features of common AI workloads
Identify guiding principles for responsible AI
M2-Describe fundamental principles of machine learning on Azure Week-2 & Week-3
Identify common machine learning techniques
Describe core machine learning concepts
Describe Azure Machine Learning capabilities
M3-Describe features of computer vision workloads on Azure Week-4
Identify common types of computer vision solution
Identify Azure tools and services for computer vision tasks
M4-Describe features of Natural Language Processing (NLP) workloads on Azure Week-5 & Week-6
Identify features of common NLP Workload Scenarios
Identify Azure tools and services for NLP workloads
M5-Describe features of generative AI workloads on Azure Week-7 & Week-8
Identify features of generative AI solutions
Identify capabilities of Azure OpenAI Service

Certification Track Module Learning Link
Azure AI Fundamentals (AI-900) 1 Microsoft Azure AI Fundamentals: AI Overview
Fundamental AI Concepts
Fundamentals of machine learning
Fundamentals of Azure AI services
2 Microsoft Azure AI Fundamentals: Computer Vision
Fundamentals of Computer Vision
Fundamentals of Facial Recognition
Fundamentals of optical character recognition
3 Microsoft Azure AI Fundamentals: Natural Language Processing
Fundamentals of Text Analysis with the Language Service
Fundamentals of question answering with the Language Service
Fundamentals of conversational language understanding
Fundamentals of Azure AI Speech
Fundamentals of language translation
4 Microsoft Azure AI Fundamentals: Document Intelligence and Knowledge Mining
Fundamentals of Azure AI Document Intelligence
Fundamentals of Knowledge Mining and Azure AI Search
5 Microsoft Azure AI Fundamentals: Generative AI
Fundamentals of Generative AI
Plan and prepare to develop AI solutions on Azure
Responsible generative AI
Fundamentals of AI agents on Azure

Sl. No. Course Name Vide URL
1 Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners | Edureka Bing Videos
2 AI And Machine Learning Full Course | Artificial Intelligence & Machine Learning Course |Simplilearn Bing Videos
3 data-science-and-machine-learning-on-databricks Data Science and Machine Learning on Databricks | Databricks
4 AI and Machine Learning on Databricks AI and Machine Learning on Databricks | Databricks on AWS
5 Develop with Python for AI and ML Develop with Python for AI and Machine Learning | LinkedIn Learning
6 Machine Learning with Scikit -leatn Effective machine learning with scikit-learn | LinkedIn Learning
7 Steps in the Machine learning process Steps in the machine learning process | LinkedIn Learning
8 Capabilities of pyTorch Explore the capabilities of PyTorch | LinkedIn Learning
9 E-Book Machine-Learning-Books/Ai and Machine Learning for Coders.pdf at main · gideon-ogunbanjo/Machine-Learning-Books (github.com)
10 AI 900 Cheat-Sheet AI-900-Azure-AI-Fundamentals-Cheat-Sheet/README.md at main · drahulsingh/AI-900-Azure-AI-Fundamentals-Cheat-Sheet · GitHub