Overview of Azure AI & ML
Azure provides a comprehensive suite of AI and Machine Learning services that enable developers and data scientists to build, deploy, and manage intelligent solutions at scale. From pre-trained cognitive services to custom model development platforms, Azure empowers innovation across various industries.
Key Capabilities
Cognitive Services
Integrate pre-built AI capabilities like vision, speech, language, and decision-making into your applications with easy-to-use APIs.
Azure Machine Learning
A cloud-based environment for training, deploying, and managing machine learning models. Build custom models with AutoML, MLflow, and more.
Data Analytics & Visualization
Tools and services for preparing, processing, and visualizing data to feed your AI models and understand their performance.
AI for Specific Industries
Explore solutions tailored for healthcare, finance, retail, manufacturing, and more, powered by Azure's AI capabilities.
Explore Cognitive Services
Azure Cognitive Services offer a wide range of AI functionalities that can be easily incorporated into your applications:
- Computer Vision: Analyze images and videos for content, objects, and text.
- Speech Services: Convert speech to text, text to speech, and understand spoken language.
- Language Understanding: Process and understand natural language, extract key information, and identify sentiment.
- Decision Services: Personalize experiences and recommend actions with services like Anomaly Detector and Content Moderator.
Deep Dive into Azure Machine Learning
Azure Machine Learning is your end-to-end platform for the machine learning lifecycle. It provides:
- Data Preparation: Tools for cleaning, transforming, and labeling data.
- Model Training: Options for automated ML (AutoML), designer (drag-and-drop interface), and custom code development with Python SDK and R.
- Model Management: Experiment tracking, versioning, and model registration.
- Deployment: Deploy models as real-time endpoints or batch inference jobs on various compute targets.
- Responsible AI: Tools and guidance for building fair, explainable, and secure AI systems.