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In this course, you'll embark on a journey to master Apache Kafka, beginning with a solid introduction to its core concepts and architecture. You'll learn about essential topics such as producers, consumers, partitions, and offsets, all while understanding how they fit together within the broader Kafka ecosystem. Each theoretical section is paired with practical examples, ensuring that you not only understand the "what" but also the "how" of Kafka. As you progress, you'll delve into advanced Kafka operations, including starting Kafka without Zookeeper using KRaft mode and mastering the command line interface. The course also includes a thorough exploration of Kafka Java programming, where you'll learn to implement producers and consumers, handle callback functions, and manage consumer groups. By the end of this section, you'll be ready to tackle real-world Kafka projects, armed with the knowledge to implement efficient, scalable solutions. The final modules focus on real-world insights and case studies, where you'll see how Kafka is applied in different industries, from big data ingestion to logging and metrics aggregation. You'll also explore Kafka's role in enterprise environments, focusing on cluster setup, security, and multi-cluster operations. Whether you're new to Kafka or looking to deepen your understanding, this course provides the tools and knowledge to excel in the world of data streaming. This course is ideal for software developers, data engineers, and IT professionals who are new to Apache Kafka and wish to learn from the ground up. No prior experience with Kafka is required, though a basic understanding of distributed systems and Java programming is beneficial.