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

Before enrolling in the "Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams" course, participants should have a solid understanding of the following concepts and skills to ensure they can fully benefit from the training:

• Basic understanding of Java programming, including familiarity with Java development tools such as an IDE (e.g., Eclipse, IntelliJ IDEA).
• Knowledge of software development and architectural principles, particularly in distributed systems and microservices architectures.
• Experience with basic Linux command line operations, as Kafka and AMQ Streams are typically managed within a Linux environment.
• Familiarity with the concepts of messaging and event-driven architectures, including topics, producers, consumers, and message brokers.
• Understanding of data serialization and deserialization concepts, as they are relevant when working with message data formats.

While these prerequisites are intended to set a foundation for the course, the training is designed to accommodate learners from various backgrounds and levels of expertise. If you are new to some of these concepts, additional preparatory resources may be available to help you get up to speed before the course begins.

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.