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🏭 MLOps & LLMOps

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

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25. Mastering LLM Ops: Tracing, Data Lineage, and the Fine-Tuning Decision
MLOps & LLMOps
25. Mastering LLM Ops: Tracing, Data Lineage, and the Fine-Tuning Decision
Analytics Vidhya Intermediate 2mo ago
9. Hosted APIs vs. Open Source LLMs: Choosing Your RAGOps Strategy
MLOps & LLMOps
9. Hosted APIs vs. Open Source LLMs: Choosing Your RAGOps Strategy
Analytics Vidhya Intermediate 2mo ago
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Deconstruct AI: Complex ML Problems
📚 External: Coursera ↗
Self-paced
Deconstruct AI: Complex ML Problems
Opens on Coursera ↗
Chemical Engineering Thermodynamics 2
📚 External: Coursera ↗
Self-paced
Chemical Engineering Thermodynamics 2
Opens on Coursera ↗
Testing and Refining LLM Applications
📚 External: Coursera ↗
Self-paced
Testing and Refining LLM Applications
Opens on Coursera ↗
Databricks Machine Learning Fundamentals
📚 External: Coursera ↗
Self-paced
Databricks Machine Learning Fundamentals
Opens on Coursera ↗
MLOps with Vertex AI: Manage Features - Français
📚 External: Coursera ↗
Self-paced
MLOps with Vertex AI: Manage Features - Français
Opens on Coursera ↗
ML Model Development and Tracking: Hands-on Guide
📚 External: Coursera ↗
Self-paced
ML Model Development and Tracking: Hands-on Guide
Opens on Coursera ↗