AWS Academy Data Engineering
Course Details
- Course Code: CPD-0296_AWS0126
- Location: University Park
- Mode of Study: Online
- Places Left: 30
- Waitlist Places Left: 0
- Fee: $400
AWS Academy Data Engineering - January
Ready to power data-driven decisions? Develop practical skills in designing, building, and managing scalable data pipelines in this comprehensive data engineering course.
Course Description
This online, self-guided course is for students who want to learn about the tasks, tools, and strategies used to collect, store, prepare, analyze, and visualize data for use in analytics and machine learning (ML) applications. Content is delivered through pre-recorded videos, student guides, instructional labs, and knowledge checks. Students will explore use cases from real-world applications, enabling them to make informed decisions while building data pipelines for their applications. The course Capstone project provides an integrative project-based learning experience to reinforce the course’s technical skills.
This course introduces you to many aspects of data analytics and machine learning. It helps you identify the next steps to prepare for the AWS Certified Data Engineer – Associate and AWS Certified Machine Learning – Specialty certifications. You will learn about the training resources available to help you prepare for the certification exams.
The University of Denver is proud to be a member institution of the AWS Academy, giving students access to official Amazon Web Services (AWS) curriculum and learning resources that prepare them for industry-recognized certifications.
Course Delivery: Online (self-guided)
Cost: $400
Learning Outcomes
When you've completed this course, you should be able to design, build, and manage secure, scalable data pipelines using AWS services for analytics and machine learning applications.
Course Format:
Earn a digital badge by scoring 70%+ on graded activities. Visit our website for more details.
Ready to power data-driven decisions? Develop practical skills in designing, building, and managing scalable data pipelines in this comprehensive data engineering course.
Course Description
This online, self-guided course is for students who want to learn about the tasks, tools, and strategies used to collect, store, prepare, analyze, and visualize data for use in analytics and machine learning (ML) applications. Content is delivered through pre-recorded videos, student guides, instructional labs, and knowledge checks. Students will explore use cases from real-world applications, enabling them to make informed decisions while building data pipelines for their applications. The course Capstone project provides an integrative project-based learning experience to reinforce the course’s technical skills.
This course introduces you to many aspects of data analytics and machine learning. It helps you identify the next steps to prepare for the AWS Certified Data Engineer – Associate and AWS Certified Machine Learning – Specialty certifications. You will learn about the training resources available to help you prepare for the certification exams.
The University of Denver is proud to be a member institution of the AWS Academy, giving students access to official Amazon Web Services (AWS) curriculum and learning resources that prepare them for industry-recognized certifications.
Course Delivery: Online (self-guided)
Cost: $400
Learning Outcomes
When you've completed this course, you should be able to design, build, and manage secure, scalable data pipelines using AWS services for analytics and machine learning applications.
Course Format:
- 100% online: Learn from anywhere
- Self-guided: Built for self-starters who want to drive their own learning experience and work at their own pace
- 40 hours of content: Advance your skills and accelerate your career
Earn a digital badge by scoring 70%+ on graded activities. Visit our website for more details.
Contact
Professional and Workforce Development
University of Denver
2197 S. University Blvd.
Denver, CO 80210
Phone: +1 303-871-4161
CPD@du.edu
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