AI Workflow: Enterprise Model Deployment

It is assumed that you have completed Courses 1 through 4 of the IBM AI Enterprise Workflow specialization and you have a solid understanding of the following topics prior to starting this course: Fundamental understanding of Linear Algebra; Understand sa

Use Apache Spark's RDDs, dataframes, and a pipeline

Employ spark-submit scripts to interface with Spark environments

Explain how collaborative filtering and content-based filtering work

Build a data ingestion pipeline using Apache Spark and Apache Spark streaming

Analyze hyperparameters in machine learning models on Apache Spark

Deploy machine learning algorithms using the Apache Spark machine learning interface

Deploy a machine learning model from Watson Studio to Watson Machine Learning

This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises

If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses