✕ Clear filters
1 lesson

🏭 MLOps & LLMOps

Model deployment, experiment tracking, monitoring, inference optimisation and AI pipelines

All ▶ YouTube 278,766📚 External: Coursera 18,426🏛 Archive.org 625 | 📰 Articles →

Looking for written articles and micro-lessons? Switch to Reads.

Inside Azure Machine Learning Workspace
MLOps & LLMOps ⚡ AI Lesson
Inside Azure Machine Learning Workspace
Coursera Beginner 3mo ago
📚 Continue on Coursera External links · Free to audit
1 / 3 View all →
Optimize AI: Plan, Evaluate, and Learn
📚 External: Coursera ↗
Self-paced
Optimize AI: Plan, Evaluate, and Learn
Opens on Coursera ↗
Deploying Deep Learning: Quantization, Serving, and Edge AI
📚 External: Coursera ↗
Self-paced
Deploying Deep Learning: Quantization, Serving, and Edge AI
Opens on Coursera ↗
Deploy ML Models to Production
📚 External: Coursera ↗
Self-paced
Deploy ML Models to Production
Opens on Coursera ↗
Azure ML: Deploying, Managing, and Experimenting with Models
📚 External: Coursera ↗
Self-paced
Azure ML: Deploying, Managing, and Experimenting with Models
Opens on Coursera ↗
Machine Learning with Databricks and MLflow
📚 External: Coursera ↗
Self-paced
Machine Learning with Databricks and MLflow
Opens on Coursera ↗
Optimize and Deploy Edge AI Models
📚 External: Coursera ↗
Self-paced
Optimize and Deploy Edge AI Models
Opens on Coursera ↗