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Instructor-led training
Azure AI Fundamentals: AI-901 Preparation Training in London and Live Online

Azure AI Fundamentals: AI-901 Preparation

Build foundational AI development skills on Azure and prepare for AI-901. Explore responsible AI, models, agents, language, vision and information extraction through lightweight practical examples.

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Beginner

Basic Python syntax and programming concepts, with familiarity with Azure resources.

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Course overview
Course dates
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Introduction
Build foundational AI development skills on Azure and prepare for AI-901. Explore responsible AI, models, agents, language, vision and information extraction through lightweight practical examples.


This instructor-led course combines clear explanations with guided exercises and practical scenarios. Work through examples relevant to the subject, review alternative approaches and practise checking your results rather than relying on a demonstration alone.
You will develop a structured approach to implementation, troubleshooting and documentation. The trainer can adapt examples to the agreed learning needs and available training environment. Confirm the course duration, software or lab requirements, delivery arrangements and fees with London IT Training before booking.
The course supports preparation for Exam AI-901: Microsoft Azure AI Fundamentals. Training attendance does not award the credential. The awarding body sets separate examination, eligibility and experience requirements; confirm these and any exam fees before booking.
What the course covers
Flexible Ways to Learn

Study your way with flexible learning options designed to fit around your schedule.

Small Groups

With small groups of students, our instructors can work closely with each student

Flexible Class Schedules

Our class schedules are flexible on weekdays, weekend or evening to suit your schedule.

Experienced Instructors

Our instructors follow a modified and personalised approach to engage students during class

Hi-Tech lab Facilities

Lab arrangements vary by course. Confirm access and equipment requirements before booking.

Prerequisites
What you’ll gain

Apply ai concepts and responsible design in a practical course exercise.

Apply models and deployment choices in a practical course exercise.

Apply foundry generative applications in a practical course exercise.

Apply single-agent scenarios in a practical course exercise.

Develop skills for your next step
Relevant career pathways
Technical Practitioner:

Apply the course skills to relevant technical tasks.

Technical Consultant:

Assess requirements and recommend practical implementation choices.

Syllabus

Course context and practical foundations
Review the course objectives and relevant concepts. Set up a suitable training environment, identify a realistic example and agree how to validate the results.

Identify common AI workloads and evaluate fairness, safety, transparency and accountability considerations for sample applications.

Compare model capabilities and deployment options. Explain configuration, context and quality limitations.

Deploy or consume a suitable model, structure prompts and build a lightweight client using an agreed training environment.

Create a focused agent with clear instructions and controlled access. Test expected and ambiguous user requests.

Explore simple text, speech and image tasks. Compare outputs with known examples and inspect errors.

Extract structured information from sample inputs, validate the results and plan human review and safe handling.

Complete an integrated exercise using sample data or an isolated training environment. Test the result, document decisions and troubleshooting steps, and identify improvements and next learning objectives.

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FAQs

Who is this course for?
Build foundational AI development skills on Azure and prepare for AI-901. Explore responsible AI, models, agents, language, vision and information extraction through lightweight practical examples.

Basic Python syntax and programming concepts, with familiarity with Azure resources.

AI concepts and responsible design; Models and deployment choices; Foundry generative applications; Single-agent scenarios; Language, speech and vision; Information extraction and review.

No. Check the awarding body’s current exam, experience and eligibility requirements. Exam booking and fees must be confirmed separately.

Contact London IT Training to discuss classroom, live online and corporate delivery arrangements.

Contact the training team for current duration, available dates, fees and software or lab requirements. Do not assume that licences, materials or examination fees are included.

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