Getting Started
Introduction to AI/ML on Azure
Learn the fundamentals of artificial intelligence and machine learning, and how Azure services can accelerate your development journey.
Explore CourseCore Concepts of Machine Learning
Deep dive into algorithms, model training, evaluation, and deployment techniques essential for any ML developer.
Read DocumentationResponsible AI Principles
Understand the importance of fairness, transparency, accountability, and privacy in building ethical AI systems.
Learn MoreTools & Services
Azure Machine Learning Studio
A cloud-based environment for training, deploying, and managing machine learning models.
Try StudioAzure Cognitive Services
Pre-built, cloud-based AI models that allow developers to add cognitive capabilities like vision, speech, and language to applications.
Discover ServicesMLOps Best Practices
Implement robust practices for managing the machine learning lifecycle, from experimentation to production and monitoring.
See Best PracticesCommunity & Support
MSDN AI/ML Forums
Connect with fellow developers, ask questions, and share your insights on AI and ML development.
Visit ForumsGitHub Repositories
Explore open-source projects, sample code, and SDKs related to AI and ML development.
Browse ReposLatest AI/ML Blog Posts
Stay up-to-date with the newest trends, announcements, and deep dives from the Microsoft AI/ML team.
Read Blog