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🏭 MLOps & LLMOps

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

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Optimize and Manage Your ML Codebase
📚 External: Coursera ↗
Self-paced
Optimize and Manage Your ML Codebase
Opens on Coursera ↗
Learn MLOps for Machine Learning
📚 External: Coursera ↗
Self-paced
Learn MLOps for Machine Learning
Opens on Coursera ↗
AI Orchestration: From local models to cloud
📚 External: Coursera ↗
Self-paced
AI Orchestration: From local models to cloud
Opens on Coursera ↗
Optimize AI: Plan, Evaluate, and Learn
📚 External: Coursera ↗
Self-paced
Optimize AI: Plan, Evaluate, and Learn
Opens on Coursera ↗
Model Serving Systems: Containers, APIs & Scalability
📚 External: Coursera ↗
Self-paced
Model Serving Systems: Containers, APIs & Scalability
Opens on Coursera ↗
Azure ML: Deploying, Managing, and Experimenting with Models
📚 External: Coursera ↗
Self-paced
Azure ML: Deploying, Managing, and Experimenting with Models
Opens on Coursera ↗