Description:
Unlock the power of Apache Kafka, the industry-leading platform for building real-time data pipelines and event-driven systems. This in-depth course is designed for developers, architects, and data engineers who want to learn how to stream, process, and manage large-scale data with Kafka.
Whether you’re a beginner or looking to scale your knowledge, this course walks you through everything — from Kafka architecture and setup to producing and consuming data, handling partitions, and ensuring fault tolerance. With hands-on examples and real-world use cases, you’ll gain the practical skills needed to implement Apache Kafka in modern data environments.
✅ What You’ll Learn:
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Understand Apache Kafka architecture, brokers, topics, partitions, and Zookeeper
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Set up Kafka locally and in cloud environments (AWS/GCP)
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Create and manage Kafka producers and consumers using Java or Python
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Implement real-time streaming with Kafka Connect and Kafka Streams
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Explore use cases in microservices, log aggregation, and big data pipelines
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Learn fault tolerance, replication, and data durability
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Monitor and scale Kafka clusters using industry best practices
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Prepare for Kafka certification with focused, exam-friendly content
👨💻 Who Should Enroll:
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Software developers & backend engineers
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Data engineers & system architects
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DevOps professionals managing streaming platforms
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Anyone curious about event-driven architecture or real-time data processing
Course Content
Apache Kafka Introduction
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Kafka Introduction
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Kafka Features
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Kafka Terminology
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Kafka Pro and Cons
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Kafka Usecases
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Kafka APIs
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Kafka Architecture
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Kafka Workflow