Welcome to Azure AI + Machine Learning

Azure provides a broad range of AI and machine learning services that enable developers and data scientists to build, train, and deploy intelligent solutions at scale. Whether you're looking to infuse pre-built AI capabilities into your applications or create custom machine learning models, Azure offers the tools and infrastructure you need.

Explore the following sections to learn more about Azure's AI capabilities, how to get started, and best practices for building intelligent systems.

Getting Started

Begin your journey with Azure AI and Machine Learning by following these essential steps:

1. Create an Azure Account: If you don't have one, sign up for a free Azure account to access a wide range of services. Get started with Azure free account
2. Explore the Azure Portal: Navigate the Azure portal to discover and manage your AI and ML resources. Go to Azure Portal
3. Set up your Development Environment: Install necessary SDKs and tools for your preferred programming language (Python, .NET, Java, Node.js).
4. Follow Quickstarts: Dive into hands-on tutorials to quickly build and deploy your first AI solution.

Key Azure AI + ML Services

Azure offers a diverse portfolio of services to cater to various AI and machine learning needs:

Tutorials & Quickstarts

Get hands-on experience with Azure AI and ML services through guided tutorials and quickstarts. These resources cover common scenarios and provide step-by-step instructions to help you build and deploy intelligent applications.

• Quickstart: Analyze sentiment in text
• Tutorial: Build a custom image classification model with Azure ML
• Create your first bot with Azure Bot Service
• Deploy an AI model to an endpoint

Best Practices

Follow these best practices to ensure robust, scalable, and ethical AI/ML solutions on Azure:

• Data Governance: Implement strong data management and security policies.
• Model Management: Track, version, and deploy models effectively.
• Responsible AI: Consider fairness, privacy, and transparency in your AI systems.
• Scalability: Design your solutions to handle growing data and user loads.
• Monitoring: Continuously monitor model performance and system health.

Pricing

Azure AI and Machine Learning services are priced based on usage. You can find detailed pricing information for each service on the Azure pricing pages.

Azure Machine Learning Pricing | Azure Cognitive Services Pricing

Support & Community

Need help or want to connect with other Azure AI/ML users? Explore the following resources:

• Azure Support
• Azure Community Support
• Azure AI Blog
• Microsoft Learn for AI