Microsoft Azure AI Fundamentals (AI-901)
Level: Foundation
Build Essential AI & Microsoft Azure Knowledge
Explore Machine Learning, Computer Vision & Language AI
Prepare for Microsoft Azure AI Fundamentals Certification
Official Microsoft Materials & Exam Voucher Included
Our Exam Pass Guarantee Included*
Welsh Government Funding Accepted
Get this course for FREE with PLA Digital Funding!
Course Overview
Duration:
1 Day (9am-5pm)
Accredited:
Yes
Exams:
Included
Funding:
PLA, PLA Digital, ReAct
Type:
Classroom, Onsite, Virtual
Company group booking discount available
Course Overview
Duration:
1 Day (9am-5pm)
Accredited:
Yes
Exams:
Included
Funding:
PLA, PLA Digital, ReAct
Type:
Classroom, Onsite, Virtual
Company group booking discount available
This one-day instructor-led course introduces the fundamental concepts and technical skills for developing artificial intelligence solutions with Microsoft Azure and Microsoft Foundry.
You’ll explore common artificial intelligence workloads, responsible AI principles and the capabilities of machine learning, computer vision, natural language processing and generative AI. You’ll also gain practical awareness of the Azure services and development tools used to implement AI applications and agents.
The course is intended for aspiring technology professionals beginning a career in AI solution development. It combines instructor-led learning with practical activities and supporting Microsoft Learn resources.
This course will help you prepare for the AI-901: Microsoft Azure AI Fundamentals examination.
Target Audience
This course is suitable for:
- Aspiring AI engineers and technology professionals beginning a career in AI development.
- Developers who want to understand Microsoft Azure AI services.
- IT professionals exploring artificial intelligence and generative AI solutions.
- Data professionals who want to broaden their knowledge of Azure AI.
- Technical consultants and solution specialists.
- Learners preparing for the Microsoft AI-901 examination.
- Anyone who wants a technical introduction to Microsoft Foundry and Azure AI solutions.
By the End of This Course, You Will Be Able To:
- Identify common artificial intelligence concepts, workloads and capabilities.
- Explain the principles of responsible AI, including fairness, reliability, safety, privacy, inclusiveness, transparency and accountability.
- Describe fundamental machine learning concepts and capabilities.
- Identify common computer vision workloads and solutions.
- Describe natural language processing and speech-related workloads.
- Explain generative AI concepts and common use cases.
- Identify the components and configuration options used in AI models.
- Describe the role of Microsoft Foundry in developing AI solutions.
- Use Microsoft Foundry capabilities to explore and implement foundational AI solutions.
- Recognise appropriate Azure services for different AI workloads.
- Understand the basic use of APIs, SDKs and command-line tools in AI development.
- Prepare for the Microsoft AI-901 examination.
This one-day instructor-led course introduces the fundamental concepts and technical skills for developing artificial intelligence solutions with Microsoft Azure and Microsoft Foundry.
You’ll explore common artificial intelligence workloads, responsible AI principles and the capabilities of machine learning, computer vision, natural language processing and generative AI. You’ll also gain practical awareness of the Azure services and development tools used to implement AI applications and agents.
The course is intended for aspiring technology professionals beginning a career in AI solution development. It combines instructor-led learning with practical activities and supporting Microsoft Learn resources.
This course will help you prepare for the AI-901: Microsoft Azure AI Fundamentals examination.
Target Audience
This course is suitable for:
- Aspiring AI engineers and technology professionals beginning a career in AI development.
- Developers who want to understand Microsoft Azure AI services.
- IT professionals exploring artificial intelligence and generative AI solutions.
- Data professionals who want to broaden their knowledge of Azure AI.
- Technical consultants and solution specialists.
- Learners preparing for the Microsoft AI-901 examination.
- Anyone who wants a technical introduction to Microsoft Foundry and Azure AI solutions.
By the End of This Course, You Will Be Able To:
- Identify common artificial intelligence concepts, workloads and capabilities.
- Explain the principles of responsible AI, including fairness, reliability, safety, privacy, inclusiveness, transparency and accountability.
- Describe fundamental machine learning concepts and capabilities.
- Identify common computer vision workloads and solutions.
- Describe natural language processing and speech-related workloads.
- Explain generative AI concepts and common use cases.
- Identify the components and configuration options used in AI models.
- Describe the role of Microsoft Foundry in developing AI solutions.
- Use Microsoft Foundry capabilities to explore and implement foundational AI solutions.
- Recognise appropriate Azure services for different AI workloads.
- Understand the basic use of APIs, SDKs and command-line tools in AI development.
- Prepare for the Microsoft AI-901 examination.
Microsoft Azure AI Fundamentals (AI-900)
Module 1: Introduction to AI
In this module, you’ll learn about common uses of artificial intelligence (AI) and the different types of workloads associated with AI. You’ll then explore considerations and principles for responsible AI development.
- Artificial Intelligence in Azure
- Responsible AI
After completing this module, you will be able to
- Describe Artificial Intelligence workloads and considerations
Module 2: Machine Learning
Machine learning is the foundation for modern AI solutions. In this module, you’ll learn about some fundamental machine learning concepts and how to use the Azure Machine Learning service to create and publish machine learning models.
- Introduction to Machine Learning
- Azure Machine Learning
After completing this module, you will be able to
- Describe fundamental principles of machine learning on Azure
Module 3: Computer Vision
Computer vision is the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module, you’ll explore multiple computer vision techniques and services.
- Computer Vision Concepts
- Computer Vision in Azure
After completing this module, you will be able to
- Describe features of computer vision workloads on Azure
Module 4: Natural Language Processing
This module describes scenarios for AI solutions that can process written and spoken language. You’ll learn about Azure services that can be used to build solutions that analyse text, recognise and synthesise speech, translate between languages, and interpret commands.
After completing this module, you will be able to
- Describe features of Natural Language Processing (NLP) workloads on Azure
Module 5: Conversational AI
Conversational AI enables users to engage in a dialogue with an AI agent, or *bot*, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and allows you to create a bot that can respond intelligently to user questions.
- Conversational AI Concepts
- Conversational AI in Azure
After completing this module, you will be able to
- Describe features of conversational AI workloads on Azure
Microsoft Azure AI Fundamentals (AI-900)
Module 1: Introduction to AI
In this module, you’ll learn about common uses of artificial intelligence (AI) and the different types of workloads associated with AI. You’ll then explore considerations and principles for responsible AI development.
- Artificial Intelligence in Azure
- Responsible AI
After completing this module, you will be able to
- Describe Artificial Intelligence workloads and considerations
Module 2: Machine Learning
Machine learning is the foundation for modern AI solutions. In this module, you’ll learn about some fundamental machine learning concepts and how to use the Azure Machine Learning service to create and publish machine learning models.
- Introduction to Machine Learning
- Azure Machine Learning
After completing this module, you will be able to
- Describe fundamental principles of machine learning on Azure
Module 3: Computer Vision
Computer vision is the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module, you’ll explore multiple computer vision techniques and services.
- Computer Vision Concepts
- Computer Vision in Azure
After completing this module, you will be able to
- Describe features of computer vision workloads on Azure
Module 4: Natural Language Processing
This module describes scenarios for AI solutions that can process written and spoken language. You’ll learn about Azure services that can be used to build solutions that analyse text, recognise and synthesise speech, translate between languages, and interpret commands.
After completing this module, you will be able to
- Describe features of Natural Language Processing (NLP) workloads on Azure
Module 5: Conversational AI
Conversational AI enables users to engage in a dialogue with an AI agent, or *bot*, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and allows you to create a bot that can respond intelligently to user questions.
- Conversational AI Concepts
- Conversational AI in Azure
After completing this module, you will be able to
- Describe features of conversational AI workloads on Azure
-
Examination: AI-901: Microsoft Azure AI Fundamentals
- Passing score: 700 out of 1,000.
- Examination format: Proctored Microsoft certification examination.
- Question formats: May include multiple-choice, multiple-response, drag-and-drop and other interactive question types.
- Open or closed book: Closed book.
- Examination voucher: Included with the course.
- Delivery: Online proctored or at an authorised Pearson VUE testing centre. Eligible students and educators may also be able to book through Certiport.
-
Examination: AI-901: Microsoft Azure AI Fundamentals
- Passing score: 700 out of 1,000.
- Examination format: Proctored Microsoft certification examination.
- Question formats: May include multiple-choice, multiple-response, drag-and-drop and other interactive question types.
- Open or closed book: Closed book.
- Examination voucher: Included with the course.
- Delivery: Online proctored or at an authorised Pearson VUE testing centre. Eligible students and educators may also be able to book through Certiport.
- One day of instructor-led training and examination preparation delivered by an accredited Microsoft trainer.
- Official Microsoft course materials, practical activities and learning resources.
- Microsoft AI-901 certification examination voucher included. Examination vouchers are usually valid for up to 12 months from the date of issue; however, funding rules may require learners funded through schemes such as PLA, ReAct or other government-funded programmes to sit their examination within a shorter timeframe.
- Exam Pass Guarantee – if you do not pass the examination after attending the course, you can retake the same training with NILC at no additional cost. You will only need to pay the examination fee charged by the examination provider. Applies to instructor-led courses only.
- One day of instructor-led training and examination preparation delivered by an accredited Microsoft trainer.
- Official Microsoft course materials, practical activities and learning resources.
- Microsoft AI-901 certification examination voucher included. Examination vouchers are usually valid for up to 12 months from the date of issue; however, funding rules may require learners funded through schemes such as PLA, ReAct or other government-funded programmes to sit their examination within a shorter timeframe.
- Exam Pass Guarantee – if you do not pass the examination after attending the course, you can retake the same training with NILC at no additional cost. You will only need to pay the examination fee charged by the examination provider. Applies to instructor-led courses only.
This course has no formal certification prerequisites. However, you should have:
- A basic understanding of cloud computing and Microsoft Azure resources.
- Familiarity with fundamental artificial intelligence concepts.
- A basic understanding of Python syntax and programming techniques.
- General experience using computers and web-based applications.
Some familiarity with REST APIs, software development kits and command-line interfaces would also be beneficial.
If you are unfamiliar with Microsoft Azure, completing Microsoft Azure Fundamentals (AZ-900) before attending is recommended.
This course has no formal certification prerequisites. However, you should have:
- A basic understanding of cloud computing and Microsoft Azure resources.
- Familiarity with fundamental artificial intelligence concepts.
- A basic understanding of Python syntax and programming techniques.
- General experience using computers and web-based applications.
Some familiarity with REST APIs, software development kits and command-line interfaces would also be beneficial.
If you are unfamiliar with Microsoft Azure, completing Microsoft Azure Fundamentals (AZ-900) before attending is recommended.
Does this course include an Exam Pass Guarantee?
Yes. If you do not pass after attending our instructor-led course, you can repeat the same training with us free of charge. The examination provider’s resit fee remains payable.
Our guarantee applies to instructor-led courses and the current examination associated with your booking.
Who is the Microsoft Azure AI Fundamentals course suitable for?
Our course is designed for aspiring technology professionals beginning their careers in AI solution development. It suits learners who want to understand AI concepts and build foundational technical skills to implement AI solutions using Microsoft Azure and Microsoft Foundry.
Are there any prerequisites?
There is no prerequisite certification. However, the current AI-901 examination is more technical than the retired AI-900 exam.
You should understand basic cloud concepts, be familiar with Azure resources and know fundamental Python syntax and programming techniques. Familiarity with REST APIs, software development kits and command-line tools is also beneficial.
Does this course include an Exam Pass Guarantee?
Yes. If you do not pass after attending our instructor-led course, you can repeat the same training with us free of charge. The examination provider’s resit fee remains payable.
Our guarantee applies to instructor-led courses and the current examination associated with your booking.
Who is the Microsoft Azure AI Fundamentals course suitable for?
Our course is designed for aspiring technology professionals beginning their careers in AI solution development. It suits learners who want to understand AI concepts and build foundational technical skills to implement AI solutions using Microsoft Azure and Microsoft Foundry.
Are there any prerequisites?
There is no prerequisite certification. However, the current AI-901 examination is more technical than the retired AI-900 exam.
You should understand basic cloud concepts, be familiar with Azure resources and know fundamental Python syntax and programming techniques. Familiarity with REST APIs, software development kits and command-line tools is also beneficial.
Dates & Prices
Upcoming Courses
Live Instructor-Led Virtual
Spaces: Available
Start Date: Fri 16 October 2026
Live Instructor-Led Virtual
Spaces: Available
Start Date: Fri 18 December 2026
Can't find the course dates, location or delivery type you are looking for?
Fill out the request dates form above and we'll try our best to accommodate or contact us directly.
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How we deliver our courses
Virtual
Our virtual courses allow you to access live instructor-led training from the same expert instructors that deliver our classroom courses, without leaving the comfort of your home or office. All virtual courses are fully interactive, and learners can communicate with their trainer and peers at any time.
Many of our virtual courses are also recorded, so you can recap over the content you learnt as many time as you wish.
Classroom
Our classroom courses allow you to learn and interact face-to-face with our expert instructors in a comfortable and modern training environment. All of our classroom based courses take place at NILC centers, or high quality training facilities, and include all required IT and physical equipment.
We also limit our class sizes to help promote better discussions and to ensure your learning experience is comfortable as possible.
Onsite
Save time and hassle by arranging for one of our expert instructors to come to you. Our onsite courses allow you to learn in a location of your choosing, and you can train as many or as few people as you want – from a single person or team to whole departments. We can also fully customize the course content to the specific requirements of your business or project.
We offer onsite courses throughout the UK and it can be a great team building opportunity for colleagues to come together, bond and discuss.
Online
Our Online Self Paced courses allow you to learn new skills from our expert instructors, in your own time and at your own pace. Our flexible online learning platform allows you to access content on your computer, tablet or mobile device, whether you’re on the move or at home. All our online courses come with immediate access and you can start learning straight away, from any internet enabled compatible device.
We also offer online email support from our expert instructors, so they’re always on hand and happy to help you with any questions which may arise.
Why choose NILC for your training?
Award-Winning Training with Industry-Leading Customer Satisfaction
Trusted Training Partner by Colleges, Government Organisations and Businesses
UK-Based Trainers with Real-World Industry Experience
Family-Run Business with Customer Service at Its Core
Rated Excellent on Trustpilot with 950+ Customer Reviews
Our learners rate us 'Excellent' on Trustpilot
Frequently Asked Questions
Yes. If you do not pass after attending our instructor-led course, you can repeat the same training with us free of charge. The examination provider’s resit fee remains payable.
Our guarantee applies to instructor-led courses and the current examination associated with your booking.
Our course is designed for aspiring technology professionals beginning their careers in AI solution development. It suits learners who want to understand AI concepts and build foundational technical skills to implement AI solutions using Microsoft Azure and Microsoft Foundry.
There is no prerequisite certification. However, the current AI-901 examination is more technical than the retired AI-900 exam.
You should understand basic cloud concepts, be familiar with Azure resources and know fundamental Python syntax and programming techniques. Familiarity with REST APIs, software development kits and command-line tools is also beneficial.
We introduce responsible AI, generative and agentic AI, text analysis, speech, computer vision, image generation and information extraction.
You will also learn how Microsoft Foundry supports model deployment, prompting, multimodal solutions, agents and lightweight AI applications.
Yes, some foundational coding knowledge is now expected. AI-901 includes creating lightweight applications using Python and the Foundry SDK, as well as interacting with AI models and agents.
This remains a fundamentals course, but it is no longer designed solely around non-technical awareness.
Our existing delivery model combines instructor-led training with online Microsoft Learn content and practical exercises.
For the revised AI-901 course, exercises should include Microsoft Foundry, model deployment, prompting, agents and lightweight applications.
Yes. We accept Welsh Government funding through PLA, PLA Digital and ReAct, subject to eligibility and availability.
Frequently Asked Questions
Yes. If you do not pass after attending our instructor-led course, you can repeat the same training with us free of charge. The examination provider’s resit fee remains payable.
Our guarantee applies to instructor-led courses and the current examination associated with your booking.
Our course is designed for aspiring technology professionals beginning their careers in AI solution development. It suits learners who want to understand AI concepts and build foundational technical skills to implement AI solutions using Microsoft Azure and Microsoft Foundry.
There is no prerequisite certification. However, the current AI-901 examination is more technical than the retired AI-900 exam.
You should understand basic cloud concepts, be familiar with Azure resources and know fundamental Python syntax and programming techniques. Familiarity with REST APIs, software development kits and command-line tools is also beneficial.
We introduce responsible AI, generative and agentic AI, text analysis, speech, computer vision, image generation and information extraction.
You will also learn how Microsoft Foundry supports model deployment, prompting, multimodal solutions, agents and lightweight AI applications.
Yes, some foundational coding knowledge is now expected. AI-901 includes creating lightweight applications using Python and the Foundry SDK, as well as interacting with AI models and agents.
This remains a fundamentals course, but it is no longer designed solely around non-technical awareness.
Our existing delivery model combines instructor-led training with online Microsoft Learn content and practical exercises.
For the revised AI-901 course, exercises should include Microsoft Foundry, model deployment, prompting, agents and lightweight applications.
Yes. We accept Welsh Government funding through PLA, PLA Digital and ReAct, subject to eligibility and availability.
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