Machine Learning: Data Platform Engineer
Learn how architecture, data, and storage support advanced machine learning modeling and intelligence workloads
This path is designed for data platform engineers. Learn machine learning (ML) will change data ingestion, system requirements and performance, and customer experiences. Then supplement the skills you've learned with optional training.
Learn more about the courses in each learning progression below.
Recommended progressionFollow this recommended sequence of courses and exams to build your AWS Cloud skills in this Learning Path.
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
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
Data Analytics Fundamentals
In this self-paced course, you will learn about the process for planning data analysis solutions and the various data analytic processes that are involved. This course takes you through five key factors that indicate the need for specific AWS services in collecting, processing, analyzing, and presenting your data.
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.
Digital | 1 hour
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
Machine Learning Security
Secure your applications and environments with specific topics detailing NACLs, security groups, AWS identity and access management, and encryption key management.
Digital | 30 minutes
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
Related ML specialty courses
Communicating with Chat Bots
Learn how to build smart chat bots with the Communicating with Chat Bots curriculum.
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