Machine Learning: Developer

Learn to integrate machine learning and artificial intelligence into tools and applications

This path is designed for builders and software developers who want to use machine learning (ML) and artificial intelligence (AI) to better partner with data scientists and innovate with machine learning technologies. Progress from fundamental to advanced courses on machine learning solutions, and supplement your training with optional courses.


Process Model: CRISP-DM on the AWS Stack

Walk through the CRISP-DM methodology and framework and then apply the model's six phases to your daily work.

Seeing Clearly: Computer Vision Theory

Cover computer vision topics like automatic recognition of objects and activities and the world’s first deep learning enabled camera.

ML Building Blocks

Clarify the machine learning stack and the terms and processes that will help you build a good foundation in machine learning.

Developing Machine Learning Applications

Use competencies across these key layers, the right data store, security, and resources for analytics.