• Online, Self-Paced
Course Description

Explore machine learning solutions provided by AWS and Microsoft. Compare the prominent tools and frameworks that can be used to implement machine learning and deep learning.

Learning Objectives

Data Tools: Machine Learning & Deep Learning in the Cloud

  • recognize the capabilities of Microsoft machine learning tools
  • recognize the machine learning tools provided by AWS for data analysis
  • specify Spark's machine leaning capabilities and the features of PySpark
  • list frameworks that can be used to implement deep learning such as Keras, TensorFlow, Caffe, and PyTorch
  • implement deep learning using Keras
  • list tools that can be used to implement data mining and analytics and their features
  • demonstrate the capabilities of building and processing data pipeline with Knime
  • set up Keras, implement a deep learning algorithm, and build data pipelines using KNIME

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Data Administration