Confluent Cloud Fundamentals Training in USA

This course introduces participants to Apache Kafka® as a service on Confluent Cloud, focusing on foundational concepts, cloud-native Kafka features, and hands-on experience with building real-time data pipelines. Learners will explore essential components like Kafka topics, producers, consumers, ksqlDB, Schema Registry, and Kafka Connect, all within the fully managed environment of Confluent Cloud.

Welcome to the official Confluent Cloud Fundamentals Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in USA. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

• Basic understanding of cloud computing concepts

• Familiarity with command-line tools

• Prior exposure to messaging systems or event-driven architecture is helpful but not required

• Kafka as a Service deployment and usage

• Real-time data pipeline creation

• Data streaming using producers, consumers, and ksqlDB

• Schema design and validation

• Integration using prebuilt Kafka connectors

• Kafka security, scaling, and observability in cloud-native environments

By the end of this course, participants will be able to:

• Understand the core architecture of Apache Kafka on Confluent Cloud

• Set up and manage Kafka clusters in Confluent Cloud

• Create and manage topics, producers, and consumers

• Use Confluent Cloud Schema Registry and Kafka Connect

• Analyze and stream data using ksqlDB

• Monitor and secure Kafka services on Confluent Cloud