AD482 - Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams Course Overview

AD482 - Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams Course Overview

The "Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams" course provides an in-depth understanding of building and maintaining event-driven systems. It caters to developers and architects seeking expertise in leveraging Apache Kafka and Red Hat AMQ for real-time data processing.

In Module 1, learners explore the core principles that underpin Event-driven architectures, setting the stage for more advanced concepts.

Module 2 introduces Kafka and AMQ Streams concepts, teaching students to develop basic Messaging functionalities in applications.

Module 3 delves into the Streams API, guiding participants through the creation of sophisticated data streaming applications.

Module 4 focuses on Asynchronous services and the Event collaboration pattern, essential for modern, scalable systems.

Module 5 covers Kafka Connect and Debezium, tools for integrating and reacting to changes in data systems.

Finally, Module 6 equips learners with troubleshooting skills for Kafka and AMQ Streams applications, ensuring they can maintain performance and reliability.

By the end of the course, participants will have a robust skill set for designing and implementing event-driven systems using Apache Kafka and Red Hat AMQ technologies.

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Target Audience for Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams

  1. This course equips participants with the skills to design, build, and troubleshoot event-driven applications using Apache Kafka and Red Hat AMQ Streams.


  2. Target Audience and Job Roles for the Course:


  • Software Developers and Engineers focused on real-time data processing
  • Data Architects seeking to understand event-driven architectures
  • System Administrators and DevOps professionals responsible for managing messaging systems
  • IT Professionals working on microservices and distributed systems
  • Data Analysts interested in stream processing and real-time analytics
  • Technical Leads and Application Architects designing system integrations
  • Enterprise Architects looking to implement event-driven solutions in their organization
  • Full-stack Developers expanding their expertise to include event-based systems


Learning Objectives - What you will Learn in this Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams?

Introduction to Course Learning Outcomes:

Gain expertise in building scalable, high-performance event-driven applications using Apache Kafka and Red Hat AMQ Streams, covering everything from fundamental concepts to advanced data streaming and integration techniques.

Learning Objectives and Outcomes:

  • Understand the fundamental principles and components of event-driven architecture and its advantages.
  • Learn to set up and configure Apache Kafka and Red Hat AMQ Streams for messaging and event streaming.
  • Develop proficiency in reading from and writing to Kafka topics using basic producer and consumer APIs.
  • Utilize the Kafka Streams API to implement stream processing applications capable of handling real-time data flows.
  • Apply the event collaboration pattern to design and transition to asynchronous microservices architectures.
  • Integrate various data systems with Kafka using Kafka Connect and explore change data capture with Debezium.
  • Troubleshoot common issues encountered when working with Kafka and AMQ Streams, enhancing system reliability and performance.
  • Acquire skills for effective message system design, including topics, partitions, and consumer group considerations.
  • Master the use of Kafka's security features to secure your event-driven applications.
  • Explore best practices for deploying and managing Kafka clusters and AMQ Streams in production environments.

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