AI Concepts and AI Capabilities
- Principles of responsible AI: fairness, reliability and safety, privacy, inclusiveness, transparency, accountability
- Components and configuration of AI models: how generative models work, model selection, deployment options and parameters
- Identify AI workloads: generative and agentic AI, text, speech, computer vision, information extraction
- Typical text tasks: keywords, entities, sentiment analysis, summarisation
Generative AI Apps and Agents with Microsoft Foundry
- Write effective system and user prompts
- Deploy models in the Foundry portal
- Build a chat client with the Foundry SDK
- Create a first single-agent solution and its client app
Text and Speech Solutions
- Implement a text analytics application with Foundry
- Process spoken prompts via a multimodal model
- Use Azure Speech in Foundry Tools: speech recognition and speech synthesis
Computer Vision and Image Generation
- Process visual content as part of a prompt
- Generate and edit images
- Build a vision application
Information Extraction
- Azure Content Understanding for documents and forms
- Extract content from images, audio and video
- Build an application with extraction capabilities
