Develop AI solutions in Azure (AI-102)

Course 8589

  • Duration: 5 days
  • Exam Voucher: Yes
  • Language: English
  • Level: Intermediate

Develop AI solutions in Azure (AI‑102T00‑A) is a 5‑day intermediate‑level training for AI Engineers. It equips software developers proficient in C# or Python — familiar with REST APIs — to build, deploy, and manage AI applications using Azure AI Foundry, OpenAI, Computer Vision, Language, Speech, Search, and Document Intelligence services.

Develop AI solutions in Azure (AI-102) Training Delivery Methods

  • In-Person

  • Online

  • Upskill your whole team by bringing Private Team Training to your facility.

Develop AI solutions in Azure (AI-102) Training Information

After completing this course, you’ll be able to:

  • Design and deploy AI solutions using Azure AI Foundry services
  • Develop generative AI apps and agents, including those built with Azure OpenAI
  • Build computer vision pipelines, from object detection to spatial and handwriting analysis
  • Implement natural language processing and speech, including sentiment, translation, and intent detection
  • Create knowledge mining and document intelligence systems, including custom models and search solutions
  • Apply Responsible AI principles, such as content moderation and safety
  • Manage, monitor, and secure your AI deployments—handling CI/CD, authentication, cost, and performance

Training Prerequisites

If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing Microsoft Azure AI Fundamentals Training (AI-900) before taking this one. You should already have:

  • Knowledge of Microsoft Azure and ability to navigate the Azure portal
  • Knowledge of either C# or Python
  • Familiarity with JSON and REST programming semantics

Certification Information

This course can help you prepare for the following Microsoft role-based certification exam — Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution.

Develop AI solutions in Azure (AI-102)

Plan and manage an Azure AI solution

Service selection, deployment, CI/CD, security, monitoring, Responsible AI

Implement generative AI solutions

Azure AI Foundry projects, Azure OpenAI, prompt flows, RAG patterns, tuning, tracing

Implement an agentic solution

Build agents with Foundry Agent Service, Semantic Kernel, multi-agent orchestration

Implement computer vision solutions

Image analysis, object detection, OCR, custom vision model training, video insights

Implement natural language & speech solutions

Text/translation, sentiment, PII, speech-to-text, intent recognition, custom language models, Q&A systems

Implement knowledge mining and information extraction

Azure Search, indexing, semantic/vector search, Document Intelligence, OCR pipelines, information extraction

Need Help Finding The Right Training Solution?

Our training advisors are here for you.

Develop AI solutions in Azure (AI-102) Training FAQs

This course was designed for software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Foundry and other Azure AI services. They are familiar with C# or Python and have knowledge on using REST-based APIs and SDKs to build generative AI, computer vision, language analysis, and information extraction solutions on Azure.

Yes! This class prepares you for the Microsoft Certified: Azure AI Engineer Associate Exam AI-102.

Yes! We recommend you take course 1904, Python Fundamentals Training for Non-Programmers.

We recommend you consider course 8580, Microsoft Azure AI Fundamentals Training (AI-900) before taking AI-102.

Please reach out to info@learningtree.com after your course to obtain your exam voucher.