The Red Hat Certified Specialist in Event-Driven Development with Kafka course offers comprehensive training for developers and architects interested in mastering the creation and maintenance of event-driven systems. This course provides an in-depth understanding of how to leverage Apache Kafka and Red Hat AMQ Streams for real-time data processing. Participants will learn to design, build, and troubleshoot event-driven applications, making use of both Kafka and AMQ Streams to facilitate efficient and scalable data streams within distributed systems. By the end of the course, learners will have gained the skills necessary to implement event-driven architectures that respond to real-time data needs in modern IT environments.

Course Prerequisites

Before enrolling in the Red Hat Certified Specialist in Event-Driven Development with Kafka course, participants should have a solid understanding of the following concepts and skills to ensure they can fully benefit from the training:

• Basic Java Programming Knowledge: Familiarity with Java development tools, such as an IDE (e.g., Eclipse, IntelliJ IDEA).
• Software Development and Architectural Principles: Understanding of distributed systems and microservices architectures.
• Experience with Linux Command Line Operations: Since Kafka and AMQ Streams are typically managed within a Linux environment.
• Familiarity with Messaging and Event-Driven Architectures: Knowledge of topics, producers, consumers, and message brokers.
• Understanding of Data Serialization/Deserialization: Relevant when working with message data formats.

While these prerequisites are recommended 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

The Red Hat Certified Specialist in Event-Driven Development with Kafka course is designed for a wide range of IT professionals who are focused on designing, building, and troubleshooting event-driven applications. The target audience includes:

• Software Developers and Engineers: Focused on real-time data processing.
• Data Architects: Seeking to understand and implement event-driven architectures.
• System Administrators and DevOps Professionals: Responsible for managing and maintaining 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 and integrating event-driven systems.
• Enterprise Architects: Looking to implement event-driven solutions within their organization.
• Full-stack Developers: Expanding their expertise to include event-based systems.

Why Choose us

⭢ Live Online Training (Duration : 32 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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Learning Objectives

After completing the Red Hat Certified Specialist in Event-Driven Development with Kafka course, learners will be able to:

• 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.