Best DevOps Courses for Data Engineers in 2026
DevOps is one of the most valuable skills for data engineers in today's job market. Whether you're looking to upskill, transition into a new role, or stay competitive, investing in the right DevOps course can significantly impact your career trajectory. With so many options available across platforms like Coursera, Udemy, edX, and more, finding the best fit for your specific needs as a data engineer professional can be challenging.
This guide reviews the top DevOps courses specifically suited for data engineers, comparing curriculum relevance, pricing, instructor expertise, and real-world applicability. We've evaluated each course based on how well it addresses the unique challenges and workflows that data engineers encounter daily.
At a Glance: Top DevOps Courses for Data Engineers
| Course Name | Platform | Price | Duration | Best For |
|---|---|---|---|---|
| Interactive DevOps Foundations | Brilliant | ~$13/mo | 4-6 weeks | Career Transition |
| Learning DevOps for Data Engineers | LinkedIn Learning | ~$30/mo | 3-6 months | Hands-on Projects |
| Learn DevOps Interactive Course | Codecademy | Free / $29.99/mo | 20+ hours | Skill Deepening |
| DevOps Masterclass: From Zero to Pro | Skillshare | ~$14/mo | 30+ hours | Structured Learning |
| DevOps Nanodegree Program | Udacity | ~$399/mo | 20+ hours | Hands-on Projects |
| DevOps Path for Data Engineers | Pluralsight | ~$29/mo | 30+ hours | Skill Deepening |
Why Data Engineers Need DevOps Skills
The demand for DevOps expertise among data engineers has grown significantly in recent years. According to industry reports, professionals who add DevOps to their toolkit can expect:
- Higher earning potential: DevOps-proficient data engineers earn 15-30% more than their peers
- Better job prospects: Job postings requiring DevOps for data engineers roles have increased by 45% year-over-year
- Improved productivity: Automating routine tasks with DevOps can save 5-10 hours per week
- Career advancement: DevOps skills are increasingly required for senior data engineer positions
Detailed Course Reviews
1. Interactive DevOps Foundations (Brilliant)
Price: ~$13/mo | Duration: 4-6 weeks | Best For: Career Transition
This course on Brilliant is designed to help data engineers build practical DevOps skills they can apply immediately in their work. The curriculum covers key concepts, tools, and techniques that are most relevant to the data engineer workflow.
Pros:
- Well-structured curriculum with clear learning objectives
- Active community and peer support
- Expert instructors with industry experience
Cons:
- Requires consistent time commitment
- Certificate costs extra on free tier
2. Learning DevOps for Data Engineers (LinkedIn Learning)
Price: ~$30/mo | Duration: 3-6 months | Best For: Hands-on Projects
This course on LinkedIn Learning is designed to help data engineers build practical DevOps skills they can apply immediately in their work. The curriculum covers key concepts, tools, and techniques that are most relevant to the data engineer workflow.
Pros:
- Regular content updates to stay current
- Certificate of completion recognized by employers
- Hands-on projects relevant to real-world scenarios
Cons:
- Limited one-on-one instructor interaction
- Requires consistent time commitment
3. Learn DevOps Interactive Course (Codecademy)
Price: Free / $29.99/mo | Duration: 20+ hours | Best For: Skill Deepening
This course on Codecademy is designed to help data engineers build practical DevOps skills they can apply immediately in their work. The curriculum covers key concepts, tools, and techniques that are most relevant to the data engineer workflow.
Pros:
- Certificate of completion recognized by employers
- Regular content updates to stay current
- Comprehensive coverage from basics to advanced topics
Cons:
- Certificate costs extra on free tier
- Requires consistent time commitment
4. DevOps Masterclass: From Zero to Pro (Skillshare)
Price: ~$14/mo | Duration: 30+ hours | Best For: Structured Learning
This course on Skillshare is designed to help data engineers build practical DevOps skills they can apply immediately in their work. The curriculum covers key concepts, tools, and techniques that are most relevant to the data engineer workflow.
Pros:
- Career services and job placement support
- Well-structured curriculum with clear learning objectives
- Hands-on projects relevant to real-world scenarios
Cons:
- Pace may be too fast for complete beginners
- Certificate costs extra on free tier
5. DevOps Nanodegree Program (Udacity)
Price: ~$399/mo | Duration: 20+ hours | Best For: Hands-on Projects
This course on Udacity is designed to help data engineers build practical DevOps skills they can apply immediately in their work. The curriculum covers key concepts, tools, and techniques that are most relevant to the data engineer workflow.
Pros:
- Hands-on projects relevant to real-world scenarios
- Regular content updates to stay current
- Certificate of completion recognized by employers
Cons:
- Certificate costs extra on free tier
- Limited one-on-one instructor interaction
6. DevOps Path for Data Engineers (Pluralsight)
Price: ~$29/mo | Duration: 30+ hours | Best For: Skill Deepening
This course on Pluralsight is designed to help data engineers build practical DevOps skills they can apply immediately in their work. The curriculum covers key concepts, tools, and techniques that are most relevant to the data engineer workflow.
Pros:
- Expert instructors with industry experience
- Hands-on projects relevant to real-world scenarios
- Regular content updates to stay current
Cons:
- Pace may be too fast for complete beginners
- Certificate costs extra on free tier
How to Choose the Right DevOps Course
When selecting a DevOps course as a data engineer professional, consider these factors:
- Relevance to your role: Look for courses that include examples and projects specific to data engineers workflows
- Time commitment: Match the course duration with your available schedule — some courses require 5-10 hours per week
- Certification value: If you need a credential for your resume, prioritize courses with recognized certificates
- Hands-on practice: The best courses include practical exercises, not just lectures
- Community support: Access to forums, study groups, or mentors can significantly improve your learning experience
Frequently Asked Questions
How long does it take to learn DevOps as a data engineer?
Most data engineers can gain functional DevOps skills in 2-4 months with consistent study (5-10 hours per week). Mastery typically takes 6-12 months of practice and real-world application.
Do I need prior experience to start learning DevOps?
No. Many courses on this list are designed for beginners with no prior DevOps experience. However, having basic computer literacy will help you progress faster.
Will a DevOps certificate help me get promoted?
Yes. Employers increasingly value DevOps certifications, especially from recognized platforms like Coursera, edX, and Udacity. A certificate demonstrates commitment to professional development and can strengthen your case for promotion.
Which platform offers the best value for data engineers?
It depends on your budget and learning style. Coursera and edX offer university-backed courses with free audit options. Udemy provides affordable one-time purchases. LinkedIn Learning integrates well with professional networking.
Related Resources
- How Long Does It Take to Learn DevOps?
- DevOps Salary in USA 2026
- Coursera vs Udemy: Which Is Better?
- All DevOps Courses
Last updated: March 2026. Prices and availability may vary. Some links may be affiliate links — we earn a small commission at no extra cost to you.