Practical ML education for teams shipping in production
Follow structured tracks for LLMs, agents, diffusion, audio, and vision with platform-native patterns, deployment guidance, and production workflows designed for Inferix builders.
Path-based learning
Follow role-specific tracks from foundations to production readiness.
Built for deployment
Every course maps ideas to serving, observability, costs, and team workflows.
Inferix-first examples
Use Spaces, models, datasets, storage, and inference endpoints without leaving the platform.
What you’ll learn here
Learn the concepts behind modern ML systems, then connect them to the operational work required to ship models, agents, and product features in production.
Understand the underlying systems instead of memorizing isolated tools.
Connect training and modeling decisions to serving behavior, scale, and cost.
Build with the same storage, model, dataset, and endpoint surfaces you use in Inferix.
A good place to start
Choose a path based on what you are building now, not just the topic that sounds most interesting.
Tracks
Course catalog
Structured tracks and practical references for teams learning how to build and operate AI systems.
LLM Foundations
Learn core LLM concepts and how to ship reliable apps.
Agents Course
Build tool-using agents with robust evaluation workflows.
Diffusion Course
Create, fine-tune, and deploy diffusion models.
Audio Course
Speech, music, and audio pipelines using modern tooling.
Computer Vision
Vision transformers, segmentation, and multi-modal systems.
Cookbook
Practical notebooks and blueprints from the community.
Cookbook
Recipe cards
Copy-ready build recipes for common launch workflows.