Curated learning path for Stream Processing & Real-time AI. Build practical skills through expert-selected courses.
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Basic statistics helpful; will be taught
Some coding experience; Python or R preferred
Follow these courses in order to complete the learning path. Click on any course to enroll.
This course focuses on the intricacies of data contracts and serialization in Kafka. It explores how serialization enhances Kafka's architecture and examines different serialization formats like AVRO, Protobuf, and Thrift to understand their schema compatibility and applications. The course is designed for software developers and data engineers with basic knowledge of Java and Kafka.
This course provides essential knowledge on stream processing and analysis using Apache Spark. Learners will gain an understanding of stream processing fundamentals and develop applications with the Spark Structured Streaming API.
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Curated learning path for Stream Processing & Real-time AI. Build practical skills through expert-selected courses.
You'll work through Understand core concepts and foundations; Build your first projects with guided tutorials; Gain confidence with hands-on exercises; Perform exploratory data analysis (EDA) on complex datasets; Clean and preprocess data for analysis; Create compelling data visualizations.
It's pitched at beginner level — a solid starting point if you're new to the topic.
3 curated courses, sequenced from foundational to advanced.
The courses in this path can be started for free.
Enroll in this path to track your progress and stay motivated.