Coursera
4 weeks to complete at 10 hours a week
Master the complete data engineering pipeline from ingestion to analytics. Learn to build scalable data systems using Apache Kafka, Spark, and cloud platforms while integrating cutting-edge generative AI technologies.
Basic programming experience (Python/SQL preferred); understanding of databases and data concepts
This 8-course specialization covers the full data engineering pipeline, including data ingestion, processing, storage, and analytics. You'll learn to design and implement scalable data systems using industry-standard tools like Apache Kafka, Spark, and cloud platforms. The specialization also explores integrating cutting-edge generative AI technologies to enhance data processing and intelligence.
Coursera is a leading online learning platform that partners with top universities and industry experts to deliver high-quality, career-relevant courses and programs. This specialization is designed and taught by experienced data engineering instructors from Coursera's network of subject matter experts.
Upon completion of this specialization, you'll have the skills to design, build, and optimize end-to-end data engineering solutions for modern enterprises. You'll be able to leverage industry-standard tools and frameworks to create scalable, high-performance data pipelines that power advanced analytics and data-driven decision making.
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