Azure AI + Machine Learning Services
Explore the comprehensive suite of Azure AI and Machine Learning services designed to empower your applications with intelligent capabilities. From pre-built AI models to custom machine learning solutions, Azure provides the tools and infrastructure to build, train, and deploy AI solutions at scale.
Key Services and Capabilities
Azure Machine Learning
A cloud-based environment for training, deploying, automating, managing, and tracking machine learning models. It enables end-to-end ML lifecycle management.
- Designer: A visual interface for building ML solutions without coding.
- Automated ML (AutoML): Automatically discover the best models and hyperparameters for your data.
- Notebooks: Integrated Jupyter notebooks for interactive development.
- MLOps: Tools for managing the machine learning lifecycle in production.
Cognitive Services
A collection of intelligent APIs that allow developers to add advanced AI capabilities to applications with just a few lines of code. These are pre-trained models that can be easily consumed.
- Vision: Includes Computer Vision, Face API, and Form Recognizer.
- Speech: Speech to Text, Text to Speech, and Speaker Recognition.
- Language: Text Analytics, Translator, and Language Understanding (LUIS).
- Decision: Anomaly Detector and Content Moderator.
- Search: Bing Search APIs.
Azure OpenAI Service
Leverage powerful OpenAI models like GPT-4, GPT-3.5, and Embeddings, hosted on Azure for enterprise-grade security, compliance, and regional availability.
Azure Databricks
An Apache Spark-based analytics platform optimized for the Azure cloud. It offers a collaborative, interactive environment for data engineers, data scientists, and machine learning engineers.