Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Data Engineering on AWS Vol 1 - OLAP & Data Warehouse Specialization

Data Engineering on AWS Vol 1 - OLAP & Data Warehouse Specialization

Data Engineering on AWS.

Build scalable data solutions with AWS technologies.

Instructor: Packt - Course Instructors

Included with Learn more

3 course series

Get in-depth knowledge of a subject

Intermediate level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 course series

Get in-depth knowledge of a subject

Intermediate level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Design and optimize AWS S3 storage solutions for analytics and reporting.
Implement and secure AWS Redshift for data warehousing and performance tuning.
Apply data governance and analytics tools to build scalable, secure data platforms.

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

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Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from Packt

Specialization - 3 course series

This specialization provides a structured learning journey for data engineers, focusing on the foundational principles of data engineering and AWS storage solutions. The first course in the path establishes a strong base in data modeling, S3, and foundational analytics concepts. The next stage dives into AWS Redshift, covering infrastructure, performance, and security in depth. The final course in this specialization explores modern data governance and analytics on AWS, integrating tools like Glue, Lake Formation, and Athena. Together, these courses equip learners with the skills to design, secure, and optimize data platforms for analytical workloads, aligning with industry best practices and AWS cloud architecture standards.

This specialization is based on the course, Data Engineering on AWS Vol 1 - OLAP & Data Warehouse, by Soumyadeep Dey.

Applied Learning Project

Applied practice activities integrated throughout the courses provide structured opportunities for learners to apply key concepts and methods in realistic contexts. Through guided analysis, reflection, and skill application, participants engage with authentic challenges aligned to the subject matter and develop practical competence in solving domain-relevant problems.

Foundations of Data Engineering and AWS Storage

Course 1, 10 hours

What you'll learn

Design OLTP, OLAP, and dimensional data models
Use Amazon S3 for distributed storage patterns
Configure Redshift objects, security, and workloads

AWS Redshift: Infrastructure, Performance, and Security

Course 2, 23 hours

What you'll learn

Design OLTP, OLAP, and dimensional data models
Use Amazon S3 for distributed storage patterns
Configure Redshift objects, security, and workloads

Modern Data Governance and Analytics on AWS

Course 3, 12 hours

What you'll learn

Design OLTP, OLAP, and dimensional data models
Use Amazon S3 for distributed storage patterns
Design OLTP, OLAP, and dimensional data models

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

Packt - Course Instructors

Packt

2,520 Courses742,333 learners

Offered by

Packt

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Frequently asked questions

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.