[P] Free open-source ML observability course: starts October 16 🚀

Hi everyone, I’m one of the creators of [Evidently](https://github.com/evidentlyai/evidently), an open-source (Apache 2.0) tool for production ML monitoring. We’ve just launched a free open course on ML observability that I wanted to share with the community.

The course covers:

📚 Key concepts of ML monitoring and observability (data drift, data and model quality metrics, etc.)

🔡 Monitoring unstructured data (embeddings, texts, LLMs, etc.) 

🛠 Different deployment architectures (batch ML monitoring jobs, near real-time ML monitoring, etc.)

The course is free …

architectures concepts course data deployment drift embeddings etc free jobs llms machinelearning materials metrics monitoring near observability public quality real-time real-time ml tools unstructured unstructured data work