Microsoft Certified: Azure AI Engineer Associate (AI-102)

At Firebrand, we were awarded the Microsoft Solutions Partner for Data & AI (Azure) badge in recognition of our expertise in delivering quality solutions in this specialised business area.

On your 4-day accelerated Azure AI Engineer Associate course, you'll get the skills and knowledge you need to be a successful AI Engineer.

This course teaches you to develop Generative AI apps, build AI agents, and create solutions that implement computer vision and information extraction. The course will use C# or Python as the programming language.

Your expert Microsoft Certified Trainer (MCT) will immerse you in the curriculum with our unique Lecture | Lab | Review technique, helping you to build and retain information faster. You'll also have lab access 24/7 at the training centre, so you can test your skills and make the most of your stay.

Candidates for this course build, manage, and deploy AI solutions that leverage Azure. Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring.

This course focuses on the skills required to:

• Plan and manage an Azure AI solution
• Implement generative AI solutions
• Implement an agentic solution
• Implement computer vision solutions
• Implement natural language processing solutions
• Implement knowledge mining and information extraction solutions

At course completion, learners will know how to:

• Select the appropriate Azure AI Foundry services
• Plan, create and deploy an Azure AI Foundry service
• Manage, monitor, and secure an Azure AI Foundry service
• Implement AI solutions responsibly
• Build generative AI solutions with Azure AI Foundry
• Use Azure OpenAI in Foundry Models to generate content
• Optimize and operationalize a generative AI solution
• Create custom agents
• Analyse images
• Implement custom vision models
• Analyse videos
• Analyse and translate text
• Process and translate speech
• Implement custom language models
• Implement an Azure AI Search solution
• Implement an Azure AI Document Intelligence solution
• Extract information with Azure AI Content Understanding

You'll benefit from the latest, up-to-date Microsoft courseware and practice papers, as Firebrand is a Microsoft Cloud Partner.

You'll also be prepared to take the official exam AI-102: Develop AI solutions in Azure. You'll sit this exam at the Firebrand Training Centre during the course, covered by your Certification Guarantee.

Audience

If you're a Software Engineer concerned with building, managing and deploying AI solutions that leverage Azure AI Foundry and other Azure AI services, this course is ideal for you.

• Learning Path 1: Develop generative AI apps in Azure
• Learning Path 2: Develop AI Agents in Azure
• Learning Path 3: Develop natural language processing solutions in Azure
• Learning Path 4: Develop Computer Vision solutions in Azure
• Learning Path 5: Develop AI information extraction solutions in Azure

Before attending this course, you should have:

• Familiarity of either C# or Python
• Knowledge of using REST-based APIs and SDKs to build generative AI, computer vision, language analysis, and information extraction solutions on Azure
• Familiarity with Azure and the Azure portal

As part of your accelerated course, you'll sit the following exam at the Firebrand Training Centre, covered by your Certification Guarantee:

AI-102: Designing and Implementing a Microsoft Azure AI Solution

• Exam code: AI-102
• Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Chinese (Traditional), Italian
• Domains:
  • Plan and manage an Azure AI solution (20–25%)
  • Implement generative AI solutions (15–20%)
  • Implement an agentic solution (5–10%)
  • Implement computer vision solutions (10–15%)
  • Implement natural language processing solutions (15–20%)
  • Implement knowledge mining and information extraction solutions (15–20%)