Confluent Cloud Fundamentals Training in Kraków, Poland

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.

Kafka and Confluent Cloud Essentials

• Introduction to Apache Kafka and Confluent Cloud

  • What is Kafka?

  • Benefits of Confluent Cloud (vs. self-managed Kafka)

  • Overview of Kafka architecture (topics, partitions, brokers, offsets)

• Getting Started with Confluent Cloud

  • Creating a Confluent Cloud account

  • Navigating the UI and environment setup

  • Creating and managing clusters

• Kafka Topics, Producers, and Consumers

  • Creating topics with Confluent Cloud Console and CLI

  • Building producers and consumers (Python or Java)

  • Message delivery semantics (at least once, exactly once, etc.)

Schema Registry, ksqlDB, Connect & Monitoring

• Schema Registry in Confluent Cloud

  • Why schema management is important

  • Avro and JSON Schema overview

  • Using Schema Registry with producers and consumers

• Stream Processing with ksqlDB

  • Creating streams and tables

  • Filtering, transforming, and aggregating real-time data

  • Sample use cases: fraud detection, log enrichment

• Kafka Connect in the Cloud

  • Using prebuilt connectors (e.g., PostgreSQL, BigQuery, S3)

  • Configuring source and sink connectors

  • Error handling and retries

• Security and Observability

  • API keys and access control

  • TLS and data encryption

  • Monitoring cluster metrics via Confluent Cloud UI and APIs

• Hands-on Exercises

• Summary and Conclusion