🚀 MLOps

Hands-on short course on serving LLMs in production with vLLM — paged attention, continuous batching, KV cache management, and throughput optimisation. {description}

DataTalksClub's data engineering zoomcamp — foundational for AI/ML pipelines. {description}

DataTalksClub's free 4-month ML Zoomcamp — classical ML to deployment. Project-based. {description}

DataTalksClub's free 9-week MLOps Zoomcamp — experiment tracking, orchestration, deployment, monitoring. {description}

Full Stack Deep Learning's bootcamp — what it takes to ship deep learning systems in production. {description}

Goku Mohandas's Made With ML — design, develop, deploy production ML systems. Excellent MLOps resource. {description}

Krish Naik's playlist of end-to-end ML projects — data → model → deployment. Project-based learning. {description}

Krish Naik's free MLOps playlist — end-to-end deployment, MLflow, Docker, AWS, CI/CD. {description}

Full Stack Deep Learning's free LLM bootcamp — prompt eng, retrieval, agents, fine-tuning, deployment, UX. {description}

Track experiments, monitor inputs/outputs, and debug GenAI models with W&B. {description}