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Data Engineering with AWS

Nanodegree Program

Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets.

Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets.

Intermediate

4 months

Real-world Projects

Completion Certificate

Last Updated January 30, 2024

Skills you'll learn:
Database fundamentals • Cassandradb • PostgreSQL • Database normalization
Prerequisites:
Relational data models • Command line interface basics • Intermediate Python

Courses In This Program

Course 1 45 minutes

Welcome to the Data Engineering with AWS Nanodegree Program

Welcome!

Course 2 4 weeks

Data Modeling

Learn to create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra.

Course 3 4 weeks

Cloud Data Warehouses

In this course, you’ll learn to create cloud-based data warehouses. You’ll sharpen your data warehousing skills, deepen your understanding of data infrastructure, and be introduced to data engineering on the cloud using Amazon Web Services (AWS).

Course 4 4 weeks

Spark and Data Lakes

In this course, you will learn about the big data ecosystem and how to use Spark to work with massive datasets. You’ll also learn about how to store big data in a data lake and query it with Spark.

Taught By The Best

Photo of Sean Murdock

Sean Murdock

Professor at Brigham Young University Idaho

Sean currently teaches cybersecurity and DevOps courses at Brigham Young University Idaho. He has been a software engineer for over 16 years. Some of the most exciting projects he has worked on involved data pipelines for DNA processing and vehicle telematics.

Photo of Matt Swaffer

Matt Swaffer

General Manager, MBS

Matt has been working in software development and data science for over 20 years. Matt's career is centered on the intersection of technology, data, and human psychology. He is passionate about using data science to have a meaningful impact on our people and our planet.

Photo of Ben Goldberg

Ben Goldberg

Staff Engineer at SpotHero

In his career as an engineer, Ben Goldberg has worked in fields ranging from computer vision to natural language processing. At SpotHero, he founded and built out their data engineering team, using Airflow as one of the key technologies.

Photo of Amanda Moran

Amanda Moran

Developer Advocate at DataStax

Amanda is a developer advocate for DataStax after spending the last 6 years as a software engineer on 4 different distributed databases. Her passion is bridging the gap between customers and engineering. She has degrees from the University of Washington and Santa Clara University.

Photo of Valerie Scarlata

Valerie Scarlata

Technical Content Developer at Udacity

Valerie is a Sr. Technical Content Developer at Udacity who has developed and taught a broad range of computing curricula for multiple colleges and universities. She is a former professor and software engineer for over 10 years specializing in web, mobile, voice assistant, and full-stack application development.

Ratings & Reviews

Average Rating: 4.6 Stars

(1132 Reviews)

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About Data Engineering with AWS

Our Data Engineering Nanodegree program is a comprehensive data engineering course designed to teach you how to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. Skills covered include Database fundamentals, CassandraDB, PostgreSQL, and database normalization. This program is ideal for those with a basic understanding of Python, SQL, and command-line interfaces. You'll learn from industry experts like Sean Murdock, Matt Swaffer, Ben Goldberg, Amanda Moran, and Valerie Scarlata, gaining hands-on experience with real-world projects. At Udacity, we offer an empowering learning environment where you gain practical skills through our data engineering training, reinforced with top-tier support and expert feedback. This course will equip you with the knowledge and tools to excel in the field of data engineering.