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

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.