Learning Outcomes

✓ Explain core AI/ML concepts and responsible AI principles
✓ Describe Azure options for building, hosting, and governing AI solutions
✓ Navigate Azure Machine Learning to train, register, and deploy a simple model
✓ Interpret security, identity, and compliance building blocks (RBAC, Defender for Cloud, Purview, STP)
✓ Estimate cost with Azure Pricing/TCO tools and choose data/storage/connectivity options

Curriculum

12-Week Curriculum

Questions: 60
Duration: 45 minutes
Exam fee: $99
Passing score: 700 / 1000 points

Week	Session A	Session B
1	Introduction to AI & Azure overview	ML basics on Azure
2	Model development with Azure Machine Learning	Experiment tracking & model registry
3	AI project management & security basics	Intro to Azure NLP services
4	App hosting options on Azure	Azure ExpressRoute (private connectivity)
5	Storage redundancy (LRS/ZRS/GZRS/GRS)	Data migration options
6	AI-900 core topic review 1	Azure Directory Services (Entra ID)
7	External Identities (B2B/B2C)	RBAC fundamentals in Azure
8	Defender for Cloud: overview & use	Pricing & TCO calculator
9	Microsoft Purview overview	Purview governance scope & purpose
10	Service Trust Portal (STP): concepts	Using STP artifacts (compliance reports)
11	Azure Resource Manager (ARM)	ARM templates & IaC basics
12	AI-900 mock exam 1	AI-900 mock exam 2 + final review

AI-900 Certification Exam

The Microsoft Azure AI Fundamentals (AI-900) certification validates foundational knowledge of AI and machine learning concepts on Azure.