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DeepLearning.AI Data Engineering Professional Certificate
Learn the principles of effective data engineering. Build your skills in the high-demand field of data engineering and learn how you can deliver real business value by applying a core set of principles and strategies for developing data systems.

Instructor:Joe Reis
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20,707 already enrolled
(455 reviews)
Recommended experience
Recommended experience
Intermediate level
This program is for beginners in the field of data engineering. The only prerequisite knowledge is intermediate Python programming skills.
(455 reviews)
Recommended experience
Recommended experience
Intermediate level
This program is for beginners in the field of data engineering. The only prerequisite knowledge is intermediate Python programming skills.
What you'll learn
Develop a mental model for the field of data engineering as a whole, including the data engineering lifecycle and its undercurrents.
Learn a framework for approaching any data engineering project you work on so you can effectively create business value with data.
Build your skill in the five stages of the data engineering lifecycle; including generating, ingesting, storing, transforming, and serving data.
Learn the principles of good data architecture and apply them to build data systems on the AWS cloud.
Skills you'll gain
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Professional Certificate - 4 course series

Introduction to Data Engineering
What you'll learn
Gain a comprehensive understanding of the data engineering lifecycle and its undercurrents
Gather stakeholder needs and translate them into system requirements
Design and implement batch and streaming data pipelines on AWS
Skills you'll gain

Source Systems, Data Ingestion, and Pipelines
What you'll learn
Gather stakeholder needs and translate them into system requirements.
Implement a batch and a streaming ingestion process on AWS to ingest data from various source systems.
Integrate aspects of security, data management, DataOps and orchestration into the data systems you build.
Skills you'll gain

Data Storage and Queries
What you'll learn
Design storage architectures for various use cases, and select appropriate technologies to implement these architectures
Practice common query patters and identify ways to improve query performance and enhance the value of your data systems
Skills you'll gain

Data Modeling, Transformation, and Serving
What you'll learn
Model and transform data based on stakeholder needs to deliver business value
Choose the appropriate data processing tools for your architecture design
Process data for batch analytics and machine learning data pipelines using distributed and non-distributed processing frameworks
Skills you'll gain
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor

Offered by

Offered by

DeepLearning.AI is an education technology company that develops a global community of AI talent. DeepLearning.AI's expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future.

Offered by

Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence, security, hybrid and enterprise applications, from 44 Availability Zones across 16 geographic regions. AWS services are trusted by millions of active customers around the world — including the fastest-growing startups, largest enterprises, and leading government agencies — to power their infrastructure, make them more agile, and lower costs. Coursera and AWS have been partners since 2017 providing learners and enterprises globally, the skills they need to succeed. Coursera builds on AWS servers to scale with student demand with confidence around capacity and elasticity and in partnership with AWS. In 2019, Coursera achieved Advanced Tier Partner status and further extended the partnership with AWS Educate, AWS EdStart and AWS Academy collaborations. Coursera's been able to make cloud skills more accessible with 8 AWS courses on the Coursera platform featuring top subject matter experts and the portfolio continues to grow. To learn more about AWS, visit https://aws.amazon.com.
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Frequently asked questions
The focus of this program is to provide foundational training in the field of data engineering that includes both conceptual knowledge and principles as well as practical skills for building data systems on the AWS cloud.
This course is ideal for aspiring or practicing data engineers, as well as data professionals in adjacent roles like software engineering, data science, or analytics looking to broaden and deepen their skills in data engineering. Other data stakeholders such as data team leads and technical business leaders will also find value in these courses as they think about data systems and structures at the organizational level.
You will learn about the stages of the data engineering lifecycle, including generation, ingestion, storage, transformation, and serving data, as well as the s 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.
More questions
Financial aid available,
¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (7/1/2024 - 7/1/2025)