| image | https://learn.microsoft.com/zh-tw/media/learn/certification/badges/microsoft-certified-fundamentals-badge.svg |
|---|---|
| tags | AI-901, Reference |
| GA | G-DXYJBX6BH8 |
:::success Date: 20260609 Course ID: 100781 :::
:::info Course Survey: https://aka.ms/ai901survey :::
Learning path: Get started with AI apps and agents (EN)
ESI Labs :::success Training key: E27D6C4324FD0D17 :::
:::info Only need to redeem once Valid for 6 months :::
AI-901 Labs EN - mslearn-ai-fundamentals
Foundry resources, projects, and how they map to Azure
Foundry Models overview (catalog)
Foundry SDKs & supported languages
Deployment types for Foundry Models
Foundry Models lifecycle and retirement schedule
Azure role-based access control (RBAC)
What is Responsible AI? (the six principles)
Responsible use of AI in Azure AI services / Foundry
Configure content filters (guardrails)
Content filter configurability
Explore AI workloads (Computing History app)
Authentication & keys vs Entra ID for Azure AI services
Work with Chat Completions models
Named entity recognition (NER)
Sentiment analysis & opinion mining
Connect agents to tools with Model Context Protocol (MCP)
Azure AI Language overview & SDKs
What is the Azure AI Speech service?
Use vision-enabled (multimodal) chat models
Video generation with Sora (preview)
What is Azure AI Content Understanding?
Content Understanding analyzers
What is Azure AI Document Intelligence? (OCR / forms)
What is Foundry IQ? (knowledge for agents)
# Introduction to AI in Azure (AI-901)
## M01 - Get started with AI
### AI concepts
- Software that imitates human capabilities
- AI workloads: GenAI & agents, language, speech, vision, info extraction
- [Responsible AI](https://learn.microsoft.com/azure/machine-learning/concept-responsible-ai): Fairness, Reliability & Safety, Privacy & Security, Inclusiveness, Transparency, Accountability
### AI in Azure
- Tenant → Subscription → Resource group → Resources ([Entra ID](https://learn.microsoft.com/entra/fundamentals/whatis))
- [Microsoft Foundry](https://learn.microsoft.com/azure/ai-foundry/what-is-azure-ai-foundry): resources & projects (Models, Agents, Tools, Knowledge)
- [Endpoints](https://learn.microsoft.com/azure/foundry/foundry-models/concepts/endpoints): REST, key **vs** Entra ID token, SDKs
## M02 - Generative AI & agents
### Concepts
- Generates text, images, code; LLM **vs** SLM
- Tokens → [embeddings](https://learn.microsoft.com/azure/ai-foundry/openai/concepts/understand-embeddings) → attention → transformers
- [Agents](https://learn.microsoft.com/azure/ai-foundry/agents/overview) = model + instructions + tools + knowledge
### In Azure
- [Foundry Models](https://learn.microsoft.com/azure/ai-foundry/how-to/model-catalog-overview): first-party vs partner; [deployment types](https://learn.microsoft.com/azure/ai-foundry/foundry-models/concepts/deployment-types)
- Playground; [Chat Completions](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/chatgpt) **vs** [Responses API](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/responses)
- Foundry Agent Service
## M03 - Text analysis
### NLP tasks
- [NER](https://learn.microsoft.com/azure/ai-services/language-service/named-entity-recognition/overview), [sentiment](https://learn.microsoft.com/azure/ai-services/language-service/sentiment-opinion-mining/overview), [key phrases](https://learn.microsoft.com/azure/ai-services/language-service/key-phrase-extraction/overview), [PII](https://learn.microsoft.com/azure/ai-services/language-service/personally-identifiable-information/overview), summarization
### Two approaches
- General-purpose models (prompts) **vs** [Azure Language](https://learn.microsoft.com/azure/ai-services/language-service/overview) (structured + confidence)
- OpenAI SDK **vs** Azure Language SDK; [MCP](https://learn.microsoft.com/azure/ai-foundry/agents/how-to/tools/model-context-protocol) in agents
## M04 - Speech
- [Speech to text](https://learn.microsoft.com/azure/ai-services/speech-service/speech-to-text) (recognition)
- [Text to speech](https://learn.microsoft.com/azure/ai-services/speech-service/text-to-speech) (synthesis)
- Speech-capable agents
## M05 - Computer vision
- [Azure AI Vision](https://learn.microsoft.com/azure/ai-services/computer-vision/overview); [multimodal models](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/gpt-with-vision)
- Generation: [images](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/dall-e), [video (Sora)](https://learn.microsoft.com/azure/ai-foundry/openai/concepts/video-generation)
## M06 - Information extraction
- [Content Understanding](https://learn.microsoft.com/azure/ai-services/content-understanding/overview): [analyzers](https://learn.microsoft.com/azure/ai-services/content-understanding/concepts/analyzer-reference), documents + audio + video
- [OCR / Document Intelligence](https://learn.microsoft.com/azure/ai-services/document-intelligence/overview?view=doc-intel-4.0.0)
- [Foundry IQ](https://learn.microsoft.com/azure/foundry/agents/concepts/what-is-foundry-iq) + [AI Search](https://learn.microsoft.com/azure/search/search-what-is-azure-search)
Exam AI-901: Microsoft Azure AI Fundamentals
Certification: Microsoft Certified: Azure AI Fundamentals
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