Data Engineering Essentials
by Coursera
Master data engineering for MLOps with scalable pipelines, automation, and observability. Ideal for engineers building production AI systems.
Why this course
- Covers critical MLOps concepts often overlooked in traditional data engineering courses
- Emphasizes real-world challenges like data drift and pipeline observability
- Structured progression from fundamentals to advanced automation techniques
- Prepares learners for high-demand roles in ML infrastructure and data platform engineering
