Advance Your Skills in AI and Machine Learning

Overview

There's a lot to learn and to stay on top of in the rapidly expanding universe of artificial intelligence and machine learning. Use the range of courses in this learning path to augment your skills related to AI, ML, and data science by reviewing data analysis tasks and exploring top platforms.

Build advanced-level algorithmic techniques.
Learn how to analyze data using Wolfram Mathematica.
Master the machine learning capabilities of Apache Spark.

Syllabus

Course 1: Learning Amazon SageMaker

Learn how to use Amazon SageMaker to analyze data sets and train and deploy predictive machine learning models.

Course 2: Mathematica 11 Machine Learning

Get started with machine learning. Learn how to separate training data from test data, prepare data for machine learning, perform supervised machine learning tasks, and more.

Course 3: Spark for Machine Learning & AI

Discover the powerful Apache Spark platform for machine learning. Learn about preprocessing data, applying algorithms to a variety of machine learning problems, and more.

Course 4: Amazon Web Services Machine Learning Essential Training

Learn about patterns, services, processes, and best practices for designing and implementing machine learning using Amazon Web Services.

Course 5: Google Cloud Platform for Machine Learning Essential Training

Learn how to design machine learning solutions with Google Cloud Platform. Review services such as AutoML, CloudML Engine, and the GCP machine learning APIs.