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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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Automate, Evaluate and Deploy ML Models Confidently
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Self-paced
Automate, Evaluate and Deploy ML Models Confidently
Opens on Coursera ↗
Production-Ready Multimodal ML Engineering
📚 External: Coursera ↗
Self-paced
Production-Ready Multimodal ML Engineering
Opens on Coursera ↗
Chemical Engineering Thermodynamics 2
📚 External: Coursera ↗
Self-paced
Chemical Engineering Thermodynamics 2
Opens on Coursera ↗
Optimize and Manage Your ML Codebase
📚 External: Coursera ↗
Self-paced
Optimize and Manage Your ML Codebase
Opens on Coursera ↗
Optimize and Deploy Edge AI Models
📚 External: Coursera ↗
Self-paced
Optimize and Deploy Edge AI Models
Opens on Coursera ↗
Deconstruct AI: Complex ML Problems
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Self-paced
Deconstruct AI: Complex ML Problems
Opens on Coursera ↗