Apache Kafka is an open-source distributed stream processing platform. Organizations widely adopt it for its scalability, fault tolerance, and high throughput. More than 80 percent of the Fortune companies trust and use Kafka. Companies like Airbnb, Netflix, Microsoft, Intuit, and Target use Kafka extensively.
The Apache Kafka course is for individuals seeking to develop proficiency in Apache Kafka, a leading platform for creating real-time data pipelines and streaming applications.
This Kafka training specialization is a 4-course series. These courses will encompass topics such as Kafka basics, in-depth architecture, inner workings, enhanced monitoring and stream processing principles, and integrating with big data tools such as Storm, Spark, and Flume while ensuring solid security practices. All this said, the basic ability to understand how Java or Scala will be needed in this specialization of courses.
The Kafka certification specialization also includes hands-on labs, practical demos, quizzes, and high-quality instructional videos from industry experts. Thus, these courses provide everything you need to understand Apache Kafka better and effectively implement and manage Kafka-based solutions in real-world scenarios.
Applied Learning Project
The Apache Kafka specialization offers 19 demos to equip learners with essential skills to build applications and real-time streaming data pipelines using Apache Kafka. Key projects include installing Zookeeper and Kafka, setting up single-node and multi-node clusters, creating Kafka producers and consumers, and working with custom serializers and deserializers.
These projects teach the learner to implement data processing, manage Kafka cluster architecture, and ensure secure data streaming through a detailed understanding of Apache Kafka architecture and its capabilities.
Furthermore, learners will gain hands-on experience in Kafka installation, cluster configuration, producer and consumer creation, custom serialization, Mirror Maker setup, and Kafka Schema Registry integration.