ML Engineer

Machine Learning & AI

A ML Engineer finds insights and build enterprise AI models from data using Cloudera Machine Learning. A ML Engineer will load, explore, cleanse, join, and analyze data to specify, train, evaluate, tune, and deploy machine learning model. A ML Engineer executes model necessary to effectively configure, monitor, and tune their ML/AL applications.

Upon successful completion of this learning path, gain recognition as a CDP Certified ML Engineer

Level One

Rapidly Build an AI-driven Expense Processing Microservice with No-Code UI (FREE)

This video demonstration consists of building a serverless website where one can upload a receipt picture. Following the upload to S3, an AWS Lambda function is triggered and a NiFi slow is executed to process the image and extract useful information using AWS Textract. The information is then sent to a database to serve an expense report solution.

Level Two

DSCI-272: Predicting with Cloudera Machine Learning

Enterprise data science teams need collaborative access to business data, tools, and computing resources required to develop and deploy machine learning workflows. Cloudera Machine Learning (CML), part of the Cloudera Data Platform (CDP), provides the solution, giving data science teams the required resources.