✕ Clear filters
1 lesson

🏭 MLOps & LLMOps

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

All ▶ YouTube 278,970📚 External: Coursera 18,674🏛 Archive.org 625 | 📰 Articles →

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

LangSmith vs Langfuse: Build vs Monitor LLM Apps Explained
MLOps & LLMOps
LangSmith vs Langfuse: Build vs Monitor LLM Apps Explained
Analytics Vidhya Beginner 5mo ago
📚 Continue on Coursera External links · Free to audit
1 / 3 View all →
AI/ML & Advanced AWS Services
📚 External: Coursera ↗
Self-paced
AI/ML & Advanced AWS Services
Opens on Coursera ↗
Optimize and Manage Your ML Codebase
📚 External: Coursera ↗
Self-paced
Optimize and Manage Your ML Codebase
Opens on Coursera ↗
Optimize AI: Plan, Evaluate, and Learn
📚 External: Coursera ↗
Self-paced
Optimize AI: Plan, Evaluate, and Learn
Opens on Coursera ↗
Automate, Evaluate and Deploy ML Models Confidently
📚 External: Coursera ↗
Self-paced
Automate, Evaluate and Deploy ML Models Confidently
Opens on Coursera ↗
Testing and Refining LLM Applications
📚 External: Coursera ↗
Self-paced
Testing and Refining LLM Applications
Opens on Coursera ↗
Production ML with Hugging Face
📚 External: Coursera ↗
Self-paced
Production ML with Hugging Face
Opens on Coursera ↗