Applied AI

MLOps & LLMOps

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

881
lessons
Skills in this topic
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Experiment Tracking
beginner
Log experiments with MLflow or Weights & Biases
Model Deployment
intermediate
Wrap a model in a FastAPI endpoint
Model Monitoring
intermediate
Set up drift detection with Evidently AI
Feature Stores
advanced
Define feature views in Feast
LLMOps
advanced
Set up LangSmith or Langfuse for LLM tracing
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Local AI just leveled up... Llama.cpp vs Ollama
14:41
MLOps & LLMOps ⚡ AI Lesson
Local AI just leveled up... Llama.cpp vs Ollama
Alex Ziskind Intermediate 7mo ago
Which Ollama Model Is Best For YOU?
7:51
MLOps & LLMOps ⚡ AI Lesson
Which Ollama Model Is Best For YOU?
Bring Me Ai Intermediate 1y ago
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MLOps and LLMOps: Deploying and Scaling AI in Production
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Self-paced
MLOps and LLMOps: Deploying and Scaling AI in Production
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Model Serving Systems: Containers, APIs & Scalability
📚 External: Coursera ↗
Self-paced
Model Serving Systems: Containers, APIs & Scalability
Opens on Coursera ↗
MLOps Tools: MLflow and Hugging Face
📚 External: Coursera ↗
Self-paced
MLOps Tools: MLflow and Hugging Face
Opens on Coursera ↗
Automate, Evaluate and Deploy ML Models Confidently
📚 External: Coursera ↗
Self-paced
Automate, Evaluate and Deploy ML Models Confidently
Opens on Coursera ↗
MLOps with Vertex AI: Manage Features - Français
📚 External: Coursera ↗
Self-paced
MLOps with Vertex AI: Manage Features - Français
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Chemical Engineering Thermodynamics 1
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Self-paced
Chemical Engineering Thermodynamics 1
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