MLOps Half Day Workshop
MLOps is a mix of Machine Learning and Operations. It is the new frontier for those interested in or knowledgeable about both of these disciplines. MLOps supports the operationalization of machine learning models developed by data scientists and delivers the model for processing via streaming or batch operations. Operationalizing Machine Learning Models is nurturing your data from notebook to deployment through pipelines.
In this workshop, we will describe the processes:
- Model Development
- Model Packaging
- Model Deployment
- Model Cataloging
- Model Monitoring
- Model Maintenance
Some of the technologies we will discover include:
- Airflow, Kubeflow, MLFlow
- Prometheus & Grafana
- TensorFlow, XGBoost,
- Serving
- Hyperparameter Tuning
Our exercises will include running and understanding MLFlow.
About Daniel Hinojosa
Daniel is a programmer, consultant, instructor, speaker, and recent author. With over 20 years of experience, he does work for private, educational, and government institutions. He is also currently a speaker for No Fluff Just Stuff tour. Daniel loves JVM languages like Java, Groovy, and Scala; but also dabbles with non JVM languages like Haskell, Ruby, Python, LISP, C, C++. He is an avid Pomodoro Technique Practitioner and makes every attempt to learn a new programming language every year. For downtime, he enjoys reading, swimming, Legos, football, and barbecuing.
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