“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Enterprise Program Brief
Azure AI Fundamentals
Warning The requirements for this certification are changing.
Duration
Certification readiness
Level
Beginner
Format
Virtual, On-site, or Hybrid
Language
English
Microsoft
AIAzure AI Fundamentals
Azure
On this page
Ideal for
Audience Profile
Built for these roles
Built for Ai Engineer learners preparing for Azure AI Fundamentals.
Overview
Executive overview
Warning The requirements for this certification are changing.
Program Outcomes
Capabilities your teams will gain
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
Curriculum
Curriculum roadmap
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
Identify AI concepts and responsibilities
1Module 1
Describe Artificial Intelligence workloads and considerations
+
Module 1
Describe Artificial Intelligence workloads and considerations
Official Microsoft Learn measured skill area for Azure AI Fundamentals.
- Describe Artificial Intelligence workloads and considerations
- Describe fundamental principles of machine learning on Azure
2Module 2
Describe fundamental principles of machine learning on Azure
+
Module 2
Describe fundamental principles of machine learning on Azure
Official Microsoft Learn measured skill area for Azure AI Fundamentals.
- Describe features of computer vision workloads on Azure
- Describe features of Natural Language Processing (NLP) workloads on Azure
3Module 3
Describe features of computer vision workloads on Azure
+
Module 3
Describe features of computer vision workloads on Azure
Official Microsoft Learn measured skill area for Azure AI Fundamentals.
- Describe features of generative AI workloads on Azure
- Identify AI concepts and responsibilities
4Module 4
Describe features of Natural Language Processing (NLP) workloads on Azure
+
Module 4
Describe features of Natural Language Processing (NLP) workloads on Azure
Official Microsoft Learn measured skill area for Azure AI Fundamentals.
- Describe features of Natural Language Processing (NLP) workloads on Azure
5Module 5
Describe features of generative AI workloads on Azure
+
Module 5
Describe features of generative AI workloads on Azure
Official Microsoft Learn measured skill area for Azure AI Fundamentals.
- Describe features of generative AI workloads on Azure
6Module 6
Identify AI concepts and responsibilities
+
Module 6
Identify AI concepts and responsibilities
Official Microsoft Learn measured skill area for Azure AI Fundamentals.
- Identify AI concepts and responsibilities
7Module 7
Implement AI solutions by using Microsoft Foundry
+
Module 7
Implement AI solutions by using Microsoft Foundry
Official Microsoft Learn measured skill area for Azure AI Fundamentals.
- Implement AI solutions by using Microsoft Foundry
Delivery Models
Delivery models
Engagement Fit
Engagement fit
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Builds current Microsoft credential readiness for Azure AI Fundamentals using the official Microsoft Learn skill outline.
- •Align labs to your Microsoft tenant and workload scenarios
- •Add readiness checks and exam preparation reviews
- •Extend delivery with role-specific implementation workshops
Credentials
Certification & official source
- •Microsoft Certified: Azure AI Fundamentals
Aligned to the official source referenced for this program.
View Official SourceResources
Program resources
Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.
Enterprise Proof
Trusted delivery outcomes
Retail & E-commerce
Representative Retail Analytics Team
Instead of treating reporting as a tooling issue alone, the work focused on consistency, governance, and shared delivery practices across analysts and engineering teams.
- Higher consistency in report design practices
- Improved collaboration between analysts and engineering teams
Healthcare
Representative Healthcare Product Team
The engagement helped product and engineering stakeholders move from interest in AI to clearer implementation choices, security expectations, and prototyping discipline.
- Stronger alignment between product and engineering teams
- Improved clarity on prototype-to-production requirements
Delivery Capability
Enterprise-grade instruction
MCT-led delivery
Programs led by Microsoft Certified Trainer practitioners
Enterprise program oversight
Founder-led specialist delivery with structured rollout planning
Global delivery
APAC · EMEA · Americas · Virtual & Onsite
Implementation-focused
Hands-on labs aligned to production scenarios
