This course is an intermediate training program designed to help data engineers, machine learning practitioners, and analytics professionals build and deploy scalable ML models using Apache Spark. This course blends foundational ML concepts with hands-on experience in SparkML, enabling you to construct real-world machine learning solutions for large-scale data environments. Begin your learning journey with the fundamentals of machine learning before diving into Apache Spark’s powerful distributed computing capabilities.

You’ll explore supervised and unsupervised learning methods—such as regression, classification, and clustering—through guided lessons, videos, and readings. Hands-on labs allow you to.