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🏭 MLOps & LLMOps

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

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MLOps Tools: MLflow and Hugging Face
📚 External: Coursera ↗
Self-paced
MLOps Tools: MLflow and Hugging Face
Opens on Coursera ↗
Optimize and Deploy Edge AI Models
📚 External: Coursera ↗
Self-paced
Optimize and Deploy Edge AI Models
Opens on Coursera ↗
Optimize AI Inference Speed & Accuracy
📚 External: Coursera ↗
Self-paced
Optimize AI Inference Speed & Accuracy
Opens on Coursera ↗
Production-Ready Multimodal ML Engineering
📚 External: Coursera ↗
Self-paced
Production-Ready Multimodal ML Engineering
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 ↗
Partition & Monitor AI Models Effectively
📚 External: Coursera ↗
Self-paced
Partition & Monitor AI Models Effectively
Opens on Coursera ↗