Overview
AI-102: Develop AI solutions in Azure is intended for software developers wanting to build AI infused applications that leverage Azure AI Foundry and other Azure AI services.
Topics in this course include developing generative AI apps, building AI agents, and solutions that implement computer vision and information extraction. The course will use C# or Python as the programming language.
As of 13th June, the AI-102T00: Develop AI Solutions in Azure course has been updated and restructured to provide learners with a more cohesive and in-depth journey through key AI concepts and applications. This update brings together five 1-day AI courses into a single, comprehensive learning experience:
Skills Covered
- Plan and prepare to develop AI solutions on Azure
- Choose and deploy models from the model catalog in Azure AI Foundry portal
- Develop an AI app with the Azure AI Foundry SDK
- Get started with prompt flow to develop language model apps in the Azure AI Foundry
- Develop a RAG-based solution with your own data using Azure AI Foundry
- Fine-tune a language model with Azure AI Foundry
- Implement a responsible generative AI solution in Azure AI Foundry
- Evaluate generative AI performance in Azure AI Foundry portal
- Get started with AI agent development on Azure
- Develop an AI agent with Azure AI Foundry Agent Service
- Integrate custom tools into your agent
- Develop a multi-agent solution with Azure AI Foundry Agent Service
- Integrate MCP Tools with Azure AI Agents
- Develop an AI agent with Semantic Kernel
- Orchestrate a multi-agent solution using Semantic Kernel
- Analyze text with Azure AI Language
- Create question answering solutions with Azure AI Language
- Build a conversational language understanding model
- Create a custom text classification solution
- Custom named entity recognition
- Translate text with Azure AI Translator service
- Create speech-enabled apps with Azure AI services
- Translate speech with the Azure AI Speech service
- Develop an audio-enabled generative AI application
- Create a multimodal analysis solution with Azure AI Content Understanding
- Create an Azure AI Content Understanding client application
- Use prebuilt Document intelligence models
- Extract data from forms with Azure Document intelligence
- Create a knowledge mining solution with Azure AI Search
Who Should Attend
- 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.
Course Curriculum
Prerequisites
Before attending this course, students must 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
- To gain C# or Python skills, complete the free Take your first steps with C# or Take your first steps with Python learning path before attending the course.
- If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals certification before taking this one.
Course Modules
Exam & Certification
Microsoft Certified: Azure AI Engineer Associate.
The Azure AI Engineer Associate certification validates that you have subject matter expertise using cognitive services, machine learning, and knowledge mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, and conversational AI.
You can earn the certification by passing Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution, which has replaced Exam AI-100. The updated exam focuses more on practical engineering and less on solution architecture, in keeping with the current skills for the role.
Future growth in many industries will be empowered by AI and the engineers who work with it. Whether you’re building mission-critical solutions to understand speech, make predictions, or analyze images, or you’re using bots to engage customers and empower employees, there are a lot of career doors to open. The Azure AI Engineer certification is a great opportunity to prove your skills and worth to current and future employers.