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Instructor-led training
Azure AI Apps and Agents: AI-103 Preparation Training in London and Live Online

Azure AI Apps and Agents: AI-103 Preparation

Build and evaluate AI applications and agents on Azure using Microsoft Foundry. Prepare for AI-103 through generative, vision, language and information extraction scenarios with appropriate safeguards.

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Intermediate

Python development experience and familiarity with Azure and general AI concepts.

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Course overview
Course dates
  • In Classroom
  • Live Virtual
  • 1 - 1 Training
  • Corporate Training
  • Onsite Training
Introduction
Build and evaluate AI applications and agents on Azure using Microsoft Foundry. Prepare for AI-103 through generative, vision, language and information extraction scenarios with appropriate safeguards.


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-103: Developing AI Apps and Agents on Azure. 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 solution planning in a practical course exercise.

Apply generative applications and retrieval in a practical course exercise.

Apply agents and controlled tools in a practical course exercise.

Apply vision and language applications 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.

Choose services and deployment options for a defined requirement. Document model, data, access and operating constraints.

Build a grounded generation workflow, inspect source relevance and evaluate the accuracy and usefulness of outputs.

Define agent responsibilities, tool interfaces and permission boundaries. Add approval steps and handle uncertain or failed actions.

Explore suitable image and text analysis tasks. Validate outputs against examples and discuss service and model limitations.

Process sample documents and evaluate structured output quality. Handle missing fields and route ambiguous results for review.

Test safety and grounding, inspect traces and monitor quality, latency and cost. Apply controls before deployment.

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 and evaluate AI applications and agents on Azure using Microsoft Foundry. Prepare for AI-103 through generative, vision, language and information extraction scenarios with appropriate safeguards.

Python development experience and familiarity with Azure and general AI concepts.

AI solution planning; Generative applications and retrieval; Agents and controlled tools; Vision and language applications; Information extraction; Evaluation and responsible operation.

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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