DeepLearning.AI
3 months to complete at 10 hours a week
Learn the principles of effective data engineering and build your skills in the high-demand field of data engineering. Gain hands-on experience designing and implementing data architectures using AWS and open-source tools.
This program is for beginners in the field of data engineering. The only prerequisite knowledge is intermediate Python programming skills.
Throughout this program, you'll learn the foundations of data engineering while gaining hands-on experience designing and implementing data architectures using AWS and open-source tools. You'll learn about the stages of the data engineering lifecycle, including generation, ingestion, storage, transformation, and serving data, as well as the undercurrents of the lifecycle including security, DataOps, Data Management, Data Architecture, Orchestration, and Software Engineering. You'll also learn how to design good data architecture, choose tools and technologies, and build data pipelines on the AWS cloud.
Taught by industry expert Joe Reis, co-author of Fundamentals of Data Engineering, this certificate equips you with the skills and knowledge to excel in a high-demand field, focusing on ingesting, processing, transforming, storing, and serving data to data stakeholders to drive organizational and business objectives.
With this certificate, you will have the tools to further your data engineering career. Organizations of all sizes and across all industries are capturing and generating data at an ever-increasing pace, and data engineering is a high-demand job in tech today. This program will equip you with practical skills and fundamental principles to start and build a career in the field of data engineering.
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