Apache Kafka

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Provider

Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Duration & workload

8 weeks, 3 hours a week

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Overview

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Master real-time data engineering with a specialization built for Cloud Architects, Data Engineers, DevOps Specialists, Security Analysts, and Consultants who want industry-ready Kafka skills. Unlike generic courses, this program uses rich analogies, visual walkthroughs, and real-world examples—to make complex distributed-system concepts simple and practical. You will start with the fundamentals of Big Data, then learn Kafka's features, architecture, components, and high-impact industry use cases! As you progress, you will then explore Producer and Consumer internals, including poll loops, offsets, deserializers, and essential configurations. What sets this specialization apart is its deep dive into Kafka internals. You will explore replication types, reliability methods, broker configuration, cluster mirroring, and advanced multi-cluster setups, including hub-spoke, active-active, and stretch clusters. You’ll also learn monitoring, schema registry, Kafka Streams, memory management, K-Tables, data pipelines, and managing Kafka Connect via REST. The journey concludes with Apache Storm, Spark RDD operations, Flume connectors, Admin Client, and Kafka security with ACL-based authorization. With Kafka engineers making $109,490 per year on average in the U.S. and up to $177k+ as top earners, and with use increasing across finance, retail, telecom, and AI-based platforms, this specialization provides you with job-ready end-to-end knowledge.

Syllabus

Course 1: Kafka Fundamentals
Course 2: Kafka Architecture and Internals
Course 3: Monitoring, Streams, and Connectors
Course 4: Kafka Integration with Storm, Spark, Flume, and Security

Courses

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3 hours 2 minutes
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Master Apache Kafka Architecture – A Deep-Dive Learning Experience for Real-World Performance Want to take your Kafka skills beyond the basics? Apache Kafka is more than just a simple messaging platform — it's a high-performance backbone for real-time, scalable, and resilient data systems. This advanced Kafka Architecture and Internals course delivers a deep, system-level understanding through a hands-on, engaging format. Unlike basic courses, this immersive curriculum delves into the inner workings of Kafka—from brokers, topics, partitions, and replication to advanced operations like performance optimization, producer-consumer settings, and Kafka cluster management. You'll learn about Kafka's main components, distributed architecture, and multi-cluster replication tools such as MirrorMaker. This Kafka course, which includes engaging videos, real-world demos, and assignments, is excellent for developers and engineers who are familiar with Kafka and Java/Scala. In the end, you will be able to optimize, grow, and administer Kafka confidently. Walk away ready to power production-grade, event-driven architectures.
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4 hours 36 minutes
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In a data-driven world, real-time processing is no longer optional—it's required. This Apache Kafka Fundamentals is a beginner-friendly but in-depth course for developers, data engineers, system administrators, and IT professionals who want to understand the fundamentals of Apache Kafka and its role in creating modern, high-performance data pipelines. You will begin by studying the growth of data systems and the growing significance of big data, analytics, and messaging platforms. Then explore Apache Kafka's architecture, including its key components (partitions, producers, consumers, and brokers), as well as how it handles distributed messaging at scale. You'll learn how to install and set up Kafka and Zookeeper, as well as how to create and operate producers and consumers. You'll also work with crucial features including serializers, deserializers, offset management, and consumer group rebalancing. Hands-on demos, videos, and graded assignments will provide you with practical experience with Kafka in real-world streaming applications. By the end, you'll be able to design and build scalable streaming applications using Apache Kafka. Enroll today and take the first step toward the future of real-time data.
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3 hours 45 minutes
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Want to be a leader in the field of real-time data engineering? This comprehensive Kafka Integration with Storm, Spark, Flume, and Security course expands your Kafka knowledge by teaching you how to integrate and protect large-scale, distributed data pipelines. This Kafka course is designed for professionals with a strong understanding of Kafka and Java/Scala. It covers Storm topology design, Kafka Spout implementation, and Spark Streaming with RDDs and sessions. You'll set up Flume agents, connect Kafka to HDFS, and master Kafka Admin Client operations. The course also covers sophisticated Kafka security protocols including SSL, SASL, and ACL setup for strong authentication and encryption. With engaging videos, demos, assessments, and reading materials, you'll learn real-world skills in data input, processing, fault tolerance, and secure stream management. By the end of the course, you will be confident in your ability to build, deploy, and secure enterprise-grade streaming architectures.
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4 hours 13 minutes
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Want to be sure your Kafka pipelines are running at top performance? This Kafka Monitoring, Streams, and Connectors course teaches you how to design, monitor, and manage real-time data systems with precision. The course is designed for learners with Kafka and Java/Scala expertise. It covers broker, producer, and consumer metrics, latency monitoring, quota enforcement, and alarm configuration using JMX and Prometheus. You'll learn about Kafka Streams' architecture, including stateful and stateless transformations, K-Stream/K-Table joins, windowing, and exactly-once semantics. You will also learn how to deploy Kafka Connect, configure source/sink connectors, interact with single message transformations (SMTs), and manage connectors using the Kafka Connect REST API. This Apache Kafka course teaches stream monitoring and integration from start to finish with demos, videos, readings, and evaluations. By the end of this course, you'll be able to create and monitor high-throughput Kafka pipelines. Enroll now to gain real-time data expertise.