Confluent Certified Developer for Apache Kafka || 2026 ||

About this course

This course contains the use of artificial intelligence.This is an Unofficial Course.This comprehensive course is designed to take you from a complete beginner to a confident, job-ready professional in Apache Kafka and real-time data streaming. In today’s data-driven world, organizations rely heavily on event-driven architectures to process massive volumes of data in real time, and Apache Kafka has become the industry standard for building scalable, fault-tolerant streaming platforms. This course provides a deep and practical understanding of Kafka’s core architecture, development workflows, and advanced stream processing capabilities, enabling you to build production-grade systems with confidence.You will begin by developing a strong foundation in event streaming concepts and understanding how Kafka fits into modern distributed systems. You will explore the internal architecture of Kafka clusters, including brokers, topics, partitions, offsets, replication mechanisms, and the role of in-sync replicas in ensuring durability and high availability. The course also introduces essential components of the Confluent ecosystem, including the Schema Registry, helping you manage and evolve data schemas effectively in real-world scenarios.As you progress, you will gain hands-on experience building Kafka producers and consumers, learning how messages are produced, partitioned, and delivered across distributed systems. You will master critical configuration settings, understand delivery guarantees such as at-most-once, at-least-once, and exactly-once semantics, and learn how to handle retries, failures, and edge cases that commonly occur in production environments. On the consumer side, you will explore consumer groups, partition rebalancing, offset management strategies, and efficient polling and threading models to ensure reliable and scalable data consumption.The course goes beyond basic messaging by

Course objectives

• Provide a strong foundation in event-driven architecture
• Enable hands-on experience with Kafka for job readiness