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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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Optimizing Models for Production
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Self-paced
Optimizing Models for Production
Opens on Coursera ↗
Production-Ready Multimodal ML Engineering
📚 External: Coursera ↗
Self-paced
Production-Ready Multimodal ML Engineering
Opens on Coursera ↗
Databricks Machine Learning Quickstart
📚 External: Coursera ↗
Self-paced
Databricks Machine Learning Quickstart
Opens on Coursera ↗
Optimize AI Inference Speed & Accuracy
📚 External: Coursera ↗
Self-paced
Optimize AI Inference Speed & Accuracy
Opens on Coursera ↗
Deconstruct AI: Complex ML Problems
📚 External: Coursera ↗
Self-paced
Deconstruct AI: Complex ML Problems
Opens on Coursera ↗
AI/ML & Advanced AWS Services
📚 External: Coursera ↗
Self-paced
AI/ML & Advanced AWS Services
Opens on Coursera ↗