“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Microsoft Official Curriculum
Role-Based Certification PrepTrack: Microsoft Azure AI Fundamentals (beta)Official Source: Microsoft Learn
MicrosoftBeginner
Introduction to AI in Azure
This course introduces fundamental concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. It teaches a mix of AI concepts and technology skills that are considered foundational to a successful career implementing AI solutions on Microsoft Azure.
Duration
1 day
Level
Beginner
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
Microsoft
AI FundamentalsIT
Introduction to AI in Azure (AI-901 beta)
Azure
AI
On this page
Ideal for
AI EngineerAI FundamentalsCertification ReadinessTailored Team Delivery
Audience Profile
Built for these roles
This course is for aspiring technology professionals at the beginning of their career in AI solution development. Some knowledge of Python coding syntax and programming techniques is useful. Additionally, knowledge of core cloud concepts, including cloud storage, cloud compute, and cloud-based authentication and authorization is recommended.
Overview
Executive overview
Official Microsoft Learn-aligned beta preparation program for Introduction to AI in Azure and the AI-901 Microsoft Azure AI Fundamentals beta exam.
Readiness
Prerequisites
- Some knowledge of Python coding syntax and programming techniques is useful.
- Knowledge of core cloud concepts, including cloud storage, cloud compute, authentication, and authorization is recommended.
Program Outcomes
Capabilities your teams will gain
Describe AI workloads and implementation considerations
Explain fundamental machine learning concepts on Azure
Identify computer vision and natural language processing workloads on Azure
Describe generative AI workload patterns and Azure services
Curriculum
Curriculum roadmap
1
AI technical concepts
2
Get started with AI apps and agents
3
Machine learning, vision, language, and generative AI on Azure
4
AI-901 beta exam readiness review
1Module 1
AI concepts for developers and technology professionals
+
Module 1
AI concepts for developers and technology professionals
Learn core AI concepts and terminology to help you better understand AI workloads and how to plan AI solutions.
- Introduction to AI concepts
- Introduction to generative AI and agents
- Introduction to natural language processing concepts
- Introduction to AI speech concepts
- Introduction to computer vision concepts
- Introduction to AI-powered information extraction concepts
2Module 2
Get started with AI applications and agents on Azure
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Module 2
Get started with AI applications and agents on Azure
Learn how to get started with AI workloads and solutions in Microsoft Foundry.
- Get started with AI in Azure
- Get started with generative AI and agents in Azure
- Get started with text analysis in Azure
- Get started with speech in Azure
- Get started with computer vision in Azure
- Get started with AI-powered information extraction in Azure
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Certification readinessImplementation-focused labsPrivate cohort deliveryBeginner practitioner depth
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Creates an updated AI fundamentals baseline for teams moving into Azure AI, Microsoft Foundry, generative AI, and agent solution work.
- •Align demos to your Azure tenant and AI adoption priorities
- •Add Foundry, Azure AI Search, or Azure OpenAI implementation labs
- •Extend delivery with beta exam readiness checks and practice reviews
Credentials
Certification & official source
- •Microsoft Azure AI Fundamentals (beta)
Aligned to the official Microsoft Learn course and learning path for this program.
View Official Microsoft Learn PageResources
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
