Master advanced production/mlops concepts with expert-level content and cutting-edge techniques.
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Depends on ML workload complexity
Expert in cloud-native development and DevOps
Follow these courses in order to complete the learning path. Click on any course to enroll.
State-of-the-Art Machine Learning Papers Implementation
Complete natural language processing specialization covering transformers, attention mechanisms, and modern NLP techniques.
Explore related content to expand your skills beyond this learning path.
Master advanced production/mlops concepts with expert-level content and cutting-edge techniques.
You'll work through Master cutting-edge techniques and research; Handle complex, production-scale systems; Contribute to open source and research; Design and implement ML pipelines; Version control data and models effectively; Automate model training and deployment.
About 270 hours of study across 4 courses — and you can go at your own pace.
It's pitched at advanced level, so a little prior familiarity helps.
4 curated courses, sequenced from foundational to advanced.
The courses in this path can be started for free.
Enroll in this path to track your progress and stay motivated.