Stephane Maarek – Apache Kafka Series – Learn Apache Kafka for Beginners v3 (Download)

Modern applications generate massive amounts of real-time data—user activity, transactions, sensor readings, and system logs. Processing this data efficiently requires robust streaming infrastructure. Apache Kafka has become the industry standard, powering data pipelines at Netflix, Airbnb, Uber, and over 33% of Fortune 500 companies. For developers and architects entering the world of distributed systems and big data, mastering Kafka opens doors to high-demand roles and mission-critical projects.
Course Overview
Apache Kafka Series – Learn Apache Kafka for Beginners v3 is a comprehensive introduction to the Kafka 4.0 ecosystem. Taught by Stephane Maarek, an experienced instructor with over 3 million students and co-founder of Conduktor, this course takes you from zero Kafka knowledge to building real-world producers and consumers. Through step-by-step lessons and hands-on projects, you’ll understand core concepts and start developing Kafka applications confidently.
What You’ll Learn
Kafka Fundamentals and Architecture
Grasp essential concepts including topics, partitions, offsets, brokers, replication, producers, consumers, and consumer groups. Understand how Kafka works as a distributed system, including the transition from Zookeeper to KRaft mode.
Setting Up Your Environment
Launch your own Kafka cluster on Windows, macOS, or Linux using native binaries or Conduktor. Get comfortable with development environments across multiple platforms.
Command Line Interface Mastery
Work with major Kafka CLIs: kafka-topics for topic management, kafka-console-producer and kafka-console-consumer for testing, kafka-consumer-groups for monitoring, and kafka-configs for configuration management.
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Java Programming with Kafka
Build producers and consumers in Java, Kafka’s native programming language. Learn callback handling, working with message keys, graceful shutdowns, consumer groups, rebalancing strategies, and offset commit behaviors. Skills learned transfer directly to other languages like Python, Node.js, and Scala.
Real-World Project
Develop a practical streaming application using Wikimedia as a data source and OpenSearch as the destination, applying everything you’ve learned to a production-like scenario.
Advanced Concepts Overview
Explore Kafka Connect for data integration, Kafka Streams for processing, log compaction, topic configurations, and real-world case studies showing how major companies architect their data pipelines.
Course Structure
The curriculum progresses logically from theory to practice: understanding Kafka architecture, installing and configuring clusters, mastering CLI tools, writing Java applications, and completing a real-world project. Quizzes reinforce learning throughout each section.
Who Should Enroll
This course suits developers wanting to build streaming applications, architects evaluating Kafka for their infrastructure, and anyone seeking expertise in distributed data systems. No prior Kafka experience needed.





