Apart from public, instructor-led classes, we also offer private in-house trainings for organizations based on their needs. Call us at +852 2116 3328 or email us at [email protected] for more details.
Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. You should also have programming experience.
This course was designed for software engineers concerned with building, managing and deploying AI solutions that leverage Microsoft Foundry. They are familiar with Python and have knowledge on using APIs and SDKs to build agents and generative AI solutions on Azure.
Module 1: Develop generative AI apps in Azure
Generative artificial intelligence (AI) is becoming more accessible through comprehensive development platforms like Microsoft Foundry. Learn how to build generative AI applications that use language models to interact with your users.
Module 2: Develop AI agents on Azure
Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This learning path will help you understand the AI agents, including when to use them and how to build them, using Microsoft Foundry Agent Service and Microsoft Agent Framework. By the end of this learning path, you will have the skills needed to develop AI agents on Azure.
Module 3: Develop natural language solutions in Azure
Natural language solutions use language models to interpret the semantic meaning of written or spoken language, and in some cases respond based on that meaning. You can use Microsoft Foundry to develop AI apps and agents that can analyze text, transcribe and synthesize speech, and translate languages.
Module 4: Extract insights from visual data on Azure
Use generative AI, computer vision, and Content Understanding capabilities in Azure to extract insights from visual data, supporting scenarios like:
Microsoft Certified: Azure AI App and Agent Developer Associate
This credential aligns with today’s generative and agentic architectures for planning and managing AI resources in Microsoft Foundry, building generative apps and multistep reasoning workflows, and developing production‑ready agents with multi‑agent orchestration capabilities.
