Introduction to Azure AI services
Lesson 1.3: Introduction to Azure AI Services
In this lesson, you'll explore the key AI services offered by Microsoft Azure and how they simplify building intelligent applications without needing deep data science expertise.
🧰 Azure AI Service Categories
- Azure Machine Learning: A cloud-based platform for building, training, and deploying machine learning models.
- Azure Cognitive Services: Pre-built APIs for vision, speech, language, and decision-making capabilities.
- Azure OpenAI Service: Provides access to powerful generative AI models such as GPT for text, image, and code generation.
- Azure Bot Services: Tools to create, test, and deploy conversational AI bots integrated with other Azure services.
🧠 Azure Cognitive Services Breakdown
- Vision: Analyze images, recognize objects, detect faces, and extract text using OCR.
- Speech: Convert speech to text, text to speech, and perform speech translation.
- Language: Perform sentiment analysis, translation, summarization, and question answering.
- Decision: Include services like Personalizer, which delivers real-time recommendations.
🚀 Benefits of Using Azure AI Services
- Easy to integrate via REST APIs and SDKs.
- No need to build or train complex models from scratch.
- Scalable and secure cloud infrastructure.
- Supports responsible AI with built-in fairness and transparency tools.
🧠 Summary
- Azure provides a wide range of AI services, from custom machine learning to ready-to-use APIs.
- Cognitive Services cover key areas like vision, speech, and language with minimal setup.
- These tools accelerate development and make AI accessible to all types of developers.
✅ Next Lesson
Lesson 1.4: Benefits of Using AI on Azure
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