The HPE Ezmeral Machine Learning Operations training course is designed for developers who create and run machine learning applications on HPE Ezmeral Container Platform. The course teaches developers how to deploy clusters and provide real-life prediction analysis for specific use cases.
By attending HPE Ezmeral Machine Learning Operations workshop, delegates will learn to:
- Set up the project repository
- Create a training cluster
- Create a Jupyter notebook and attach it to a training cluster
- Run through an example of a typical machine learning workflow
- Operationalize your model
- Make a prediction (inference)
- Obtain in-depth knowledge of HPE Ezmeral ML Ops
- Apply best practices to help accelerate the development of user-based prediction analysis
- AI/ML application administration experience(Spark, Jupyter Notebook, Tensorflow, etc.)
- Experience in machine learning lifecycle(e.g. model training/development and model deployment)
- Bash/shell/python scripting
- This HPE Ezmeral Machine Learning Operations class is ideal for System Developers, Big Data Application Developers, Business Analysts, Data Scientists, Data Engineers.