Machine Learning: Data Platform Engineer
Learn how architecture, data, and storage support advanced machine learning modeling and intelligence workloads
This path is designed to prepare data platform engineers for how machine learning (ML) will change data ingestion, system requirements and performance, and the customer experience for the systems, services, and applications they support. Progress through foundational, intermediate and advanced courses, and supplement your learning with optional courses.
Learn more about the courses in each learning progression below.
Machine Learning for Business Challenges
Machine learning (ML) can help you solve business problems in ways that weren't possible before—but you've got to think big. We'll cover ML terminology, business problems, use cases, and examples.
ML Building Blocks: Services and Terminology
These two courses clarify both the machine learning stack and the terms and processes that will help you build a good foundation in machine learning.
Digital | 40 minutes
Exploring the Machine Learning Toolset
Review some of the AWS machine learning services you can use to build models and add intelligence to applications.
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.
Digital | 50 minutes
Machine Learning Data Readiness
This course focuses on the concept of data readiness in the context of machine learning (ML). You will learn how to determine data readiness and identify when to employ data readiness as part of your ML process.
Storage Deep Dives
These courses are designed for enterprise storage engineers to learn how to architect and manage highly available solutions, with a focus on AWS storage services.
Digital | Course lengths vary
Types of Machine Learning Solutions
Review the three different disciplines for machine learning: computer vision, natural language processing, and chat bots. Go through practical applications and the AWS services used in each.
Digital | 15 minutes
Branching content areas
Communicating with Chat Bots
Learn how to build smart chat bots with the Communicating with Chat Bots curriculum.
Digital | 3.5 hours
Speaking of: Machine Translation and NLP
These courses explore how machines interact with the human language. Review AWS services that help you with neural networks and natural language processing topics like automatic speech recognition, natural and fluent language translation, and insights and relationships in text.
Seeing Clearly: Computer Vision Theory
This curriculum explores how machines achieve understanding of images and videos.
Digital | 2.5 hours
Big Data on AWS
This course introduces you to cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis, and the rest of the AWS big data platform.
Classroom/Virtual | 3 days
Deep Learning on AWS
This course introduces you to cloud-based deep learning (DL) solutions on AWS. The training will detail how deep learning is useful and explain its different concepts.
Classroom/Virtual | 1 day