Microsoft Azure AI Engineer Associate (AI-102)

Design AI solutions with Azure AI Engineer Associate training. Learn cognitive services, AI models, and deployment techniques. Build practical skills and certification confidence.
about this course
Microsoft Azure AI Engineer Associate (AI-102) validates skills to design and implement AI solutions on Azure. It covers building solutions with Azure AI services for vision, language, and knowledge scenarios plus integrating responsible AI practices. It is ideal for engineers building production AI applications on Azure.
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Microsoft Azure AI Engineer Associate (AI-102) Course Overview and Modules

Ready to build real AI features instead of just reading about them? If Azure AI services feel too broad, this course helps you choose and implement the right tools. A practical AI engineering course can help you:
  • Design AI solutions using Azure services for vision and language scenarios
  • Implement knowledge based experiences using search and orchestration concepts
  • Apply security, privacy, and responsible AI considerations in solutions
  • Monitor and improve AI applications with operational best practices
  • Prepare for the AI-102 certification with exam aligned coverage

Prerequisites

Basic programming knowledge and familiarity with Azure fundamentals is recommended, and understanding AI concepts helps. It is designed for learners implementing AI solutions using Azure AI services.

Certification Alignment

Aligned with the latest Microsoft Azure AI Engineer exam objectives (AI-102), covering Azure AI services, solution design, deployment, and responsible AI practices.

Practical Application

Includes AI solution scenarios, guided demos for vision and language services, integration walkthroughs, and practical design exercises focused on responsible and secure AI delivery.

Skills You Will Gain

Design and implement Azure AI solutions, integrate vision and language capabilities, apply security and responsible AI principles, and deliver AI features that work reliably in production settings.

What you will learn in Microsoft Azure AI Engineer Associate (AI-102) Certification

A carefully structured overview of the core concepts, technical domains, and practical competencies you will master to build confidence and certification readiness.

Design AI Solutions Using Azure AI Services

Plan AI solutions and select the right Azure AI services for vision, language, and knowledge needs.

Implement Natural Language Solutions

Build language based features such as extraction and conversational capabilities using Azure tools.

Implement Computer Vision Solutions

Create vision features that interpret images or documents and support automation and insight.

Build Knowledge and Search Based Experiences

Use knowledge and search concepts to deliver better information discovery and user experiences.

Secure, Monitor, and Operate AI Applications

Apply security and monitoring practices so AI solutions remain reliable and safe in production.

Apply Responsible AI in Real Implementations

Design for transparency, fairness, and privacy when implementing AI features in applications.

Microsoft Azure AI Engineer Associate (AI-102) Course Statistics

Everything you need to know about this certification, including exam details, delivery modes, duration, and pricing.

Certification

Microsoft Azure AI Engineer Associate (AI-102)

Certification Level

Course Duration

Certification Vendor

Exam Code

AI-102

Starting from

£1,695

Not sure which format works best for you? Contact us for free advice and we’ll help design a tailored training plan to match your goals. Whether you need flexible course duration, online or on-site delivery, or a customised schedule, our advisors will guide you every step of the way.

Who This Course Is For

Microsoft Azure AI Engineer Associate (AI-102) is designed for engineers and developers who build AI powered applications on Azure and want practical skills using Azure AI services for vision and language solutions. It is ideal for professionals who already understand software development basics and want to design, implement, secure, and operate AI features that run reliably in production environments. It supports engineers building AI features and helps you design reliable Azure AI solutions for language and vision scenarios.

Certification & Exam Information

Certification

Microsoft Certified: Azure AI Engineer Associate

Exam

  • Exam code: AI-102
  • Level: Advanced
  • Delivery: Proctored exam (online or at an authorised test centre, depending on availability)
  • Schedule with: Pearson VUE (standard)
  • Scoring: Scaled score on a 1 to 1,000 scale; passing score is typically 700 or greater
  • Validity: Renewable (follow Microsoft renewal policy)

Skills Measured

  • Plan and manage an Azure AI solution
  • Implement content moderation
  • Implement computer vision solutions
  • Implement natural language processing solutions
  • Implement knowledge mining and document intelligence
  • Implement generative AI solutions

Official Preparation Resources

  • Microsoft Learn official study resources and practice assessment
  • Exam skills outline and sample questions (where available)

Microsoft Azure AI Engineer Associate (AI-102) Careers & Salaries in the UK

AI Engineer (£70,000 avg)
Machine Learning Engineer (£74,000 avg)
Data Scientist (£55,000 avg)
Cloud Engineer (£58,000 avg)

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Frequently Asked Questions – Microsoft Azure AI Engineer Associate (AI-102)

We understand that choosing the right course is important. Below are answers to common questions about training, certification, exams, and career outcomes.

Microsoft Azure AI Engineer Associate (AI-102) covers practical skills across areas such as Azure AI services, vision solutions, language solutions. It helps you understand how Microsoft solutions are applied in real organisations and mapped to job roles.
It is ideal for learners building AI literacy or implementing AI solutions using Azure AI services in the UK. It is also useful for professionals who need a recognised credential for career progression or a role change into the Microsoft ecosystem.
Most Microsoft exams do not have formal prerequisites, but they assume role-relevant knowledge. For associate and expert levels, hands-on experience with the services improves speed and confidence in scenario questions.
It measures your ability to work with Azure AI services, vision solutions, language solutions, knowledge and search, responsible AI and deployment. The official Microsoft Learn skills outline shows the latest domains and what is emphasised in the current exam.
It is primarily about implementing solutions using Azure AI services such as language, vision, and search. You should be comfortable designing, integrating, securing, and monitoring AI capabilities in applications.
Yes. Microsoft exams are delivered through Pearson VUE, either online with remote proctoring or at a test centre, and you schedule through your Microsoft Learn certification profile. Online testing requires a compatible system and a private space, while test centres are a good option if you prefer an in-person setup.
Microsoft exams use a scaled score. Many exams are reported on a 1 to 1,000 scale and you typically need 700 or above to pass, with results shown after completion.
Microsoft sets exam pricing by region, and the current UK price is shown when you schedule. Course fees, labs, and practice tests are separate and depend on your training format.
Yes. Microsoft retake rules usually include a short wait after the first failed attempt and longer waits between additional retakes, with attempt limits per year. Always check the current policy before you rebook.
Common next steps include Architect-level AI solution design or specialised ML engineering. If you are unsure, choose the route that matches your target job such as admin, developer, security, data, or AI.

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