Build your
career in Artificial
Intelligence with Azure.
A beginner-friendly, face-to-face program covering machine learning, computer vision, natural language processing and generative AI — engineered to land you the globally recognised Microsoft AI-900 certification.
- We are confident that you will pass your certification exam after successfully passing the Pearson practice tests - this is our pledge to you!
- If you follow this certification preparation method and fail the corresponding vendor exam within 30 days of your last practice test attempt, we'll give you another opportunity to take the vendor exam via an exam voucher or gift card for the amount of the exam.
A clear runway from curiosity to certification.
The Microsoft Azure AI Fundamentals (AI-900) course is a beginner-friendly program designed to introduce you to the basics of Artificial Intelligence and Microsoft Azure AI services. You will learn key AI concepts such as machine learning, computer vision, natural language processing and generative AI — helping you build practical knowledge and prepare for the globally recognised Microsoft AI-900 certification.
- Pearson Approved Training Centre delivery
- Face-to-face teaching format
- Globally recognised Microsoft AI-900 certification preparation
- No prior experience in coding or data science required
Built for the curious, the career-changer & the AI-bound.
No prior coding or data-science experience required. If you can use a laptop, you can build a future with AI.
Beginners to AI
Curious learners who want a no-jargon entry into AI and cloud technologies.
Business Professionals
Operators and managers looking to understand where AI actually fits in their workflow.
Students & Job Seekers
School leavers and graduates exploring careers in AI, data, or cloud-first companies.
IT Professionals
Engineers and admins ready to expand into AI workloads on Microsoft Azure.
From first principles to first deployments.
A clear picture of how Artificial Intelligence works — and how Microsoft Azure puts it to work in real-world situations.
- 01Identify the core AI workloads and Responsible AI principles.
- 02Explain how machine learning models are trained and evaluated.
- 03Use Azure AI services for vision, language and decision tasks.
- 04Build a computer vision solution that classifies and detects objects.
- 05Process natural language with Azure Language and Speech services.
- 06Understand generative AI and the role of foundation models.
- 07Apply ethical guardrails and bias checks to AI deployments.
- 08Prepare and pass the Microsoft AI-900 certification exam.
Expand the full lesson outline, practice tests & certification pathway.
Each section can be expanded or collapsed to view the detailed sub-lessons included in the Microsoft Azure AI Fundamentals (AI-900) course structure.
Intro Microsoft Azure AI Fundamentals Understand the basics of Artificial Intelligence and Microsoft Azure AI services.
- Introduction to the AI-900 course pathway
L 01 Describe Artificial Intelligence workloads & considerations Learn key AI concepts such as machine learning, workload patterns and Responsible AI principles.
- Lesson 1 Introduction
- Skill 1.1 — Identify features of common AI workloads
- Skill 1.2 — Identify guiding principles for Responsible AI
- Lesson 1 Summary
- Lesson 1 — Case Study Exercise
- Lesson 1 Quiz 10 questions
L 02 Describe fundamental principles of machine learning on Azure Learn key ML concepts and the no-code path with Azure Machine Learning.
- Lesson 2 Introduction
- Skill 2.1 — Identify common machine learning types
- Skill 2.2 — Describe core machine learning concepts
- Skill 2.3 — Identify core tasks in creating a machine learning solution
- Skill 2.4 — Describe capabilities of no-code ML with Azure Machine Learning
- Lesson 2 Summary
- Lesson 2 — Case Study Exercise
- Labs
- Lesson 2 Quiz 10 questions
L 03 Describe features of computer vision workloads on Azure Identify common types of computer vision solutions and the Azure tools that deliver them.
- Lesson 3 Introduction
- Skill 3.1 — Identify common types of computer vision solution
- Skill 3.2 — Identify Azure tools and services for computer vision tasks
- Lesson 3 Summary
- Lesson 3 — Case Study Exercise
- Labs
- Lesson 3 Quiz 10 questions
L 04 Describe features of Natural Language Processing (NLP) workloads on Azure Identify common NLP scenarios and the Azure services that power them.
- Lesson 4 Introduction
- Skill 4.1 — Identify features of common NLP workload scenarios
- Skill 4.2 — Identify Azure tools and services for NLP workloads
- Lesson 4 Summary
- Lesson 4 — Case Study Exercise
- Lesson 4 Quiz 10 questions
L 05 Describe features of conversational AI workloads on Azure Common use cases and the Azure services for building conversational AI.
- Lesson 5 Introduction
- Skill 5.1 — Identify common use cases for conversational AI
- Skill 5.2 — Identify Azure services for conversational AI
- Lesson 5 Summary
- Lesson 5 — Case Study Exercise
- Labs
- Lesson 5 Quiz 10 questions
Prac. Practice Exam Microsoft Azure AI Fundamentals practice test for full-course revision.
- Microsoft Azure AI Fundamentals practice test
Cert. Get Certified! Schedule your AI-900 certification exam through MCCA.
- Scheduling and information 1 question
Four weeks. Forty hours. One exam-ready you.
Evening sessions designed around working professionals. Self-paced practice and labs run between live classes.
Classroom-first. Practice-saturated.
Every session is delivered face-to-face by an experienced Pearson-certified trainer, using the full Pearson Skilling Program resource kit.
Roles you can step into straight after.
AI and cloud skills are in high demand across healthcare, finance, retail and technology — the AI-900 is your visible proof of capability.
Junior AI Analyst
Support data and AI projects, work with model outputs, communicate findings.
Cloud Support Associate
Operate Azure environments, triage incidents, support customer deployments.
Data Analyst (Entry-level)
Clean, analyse and visualise data using Azure tools and ML-assisted workflows.
AI / ML Support Roles
Assist ML engineering teams with data prep, evaluation and monitoring.
Build practical knowledge in Artificial Intelligence and Microsoft Azure while preparing for the Microsoft Azure AI Fundamentals (AI-900) certification. All resources, labs and certification support included.
Enrol online, three simple steps.
Tell us about you, pick the batch that suits, and we'll be in touch within one business day to confirm your seat.
