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Apache Kafka Essentials training course

Name: Apache Kafka Essentials training course
Availability: InStock

This two-day course takes you from core Kafka concepts through to schema management, security, performance tuning, multi-cluster architectures, and stream processing — with labs throughout to put theory into practice.

"Good introduction to Apache Spark. The trainer was great at talking us through the information, specifically optimisation methods. He spoke slowly and concisely which really got his points across. He effectively tailored the course to our specifications which we also appreciated."

RL, Financial Crime Technologist, Apache Spark, April 2021

Public Courses

06/07/26 - 2 days

£1995 +VAT

Enrol

17/08/26 - 2 days

£1995 +VAT

Enrol

28/09/26 - 2 days

£1995 +VAT

Enrol

Customised Courses

* Train a team
* Tailor content
* Flex dates

From £1200 / day

Highlights Details Audience Feedback Prices/Dates Related Courses

Public Courses

Highlights

Covers the full Kafka stack: producers, consumers, storage, security, Connect, and Streams
Hands-on labs every module, including Avro producers/consumers and JDBC connectors
Up to date with Kafka 4.0, including KRaft and the new consumer protocol
Practical comparisons: Kafka vs. database, RabbitMQ, and Pulsar
Covers reliability patterns including exactly-once processing and multi-cluster architectures

Course Details

Day 1 — Kafka Fundamentals and Client APIs

Kafka overview: ecosystem, use cases, messaging concepts, topics, partitions, replication, and KRaft
Producers: architecture, partition selection, keys and ordering, acknowledgements, retries, batching and compression

Consumers: consumer groups, offsets, rebalancing, group coordinator, the new Kafka 4.0 consumer protocol
Storage: retention, segment files, compaction, state vs. event topics, and GDPR considerations
Lab: Create topics, produce and consume records, observe partition assignment, manage offsets

Day 1 — Kafka Architecture, Schema Registry and Security

Kafka in context: when Kafka fits, anti-patterns, and comparisons with databases, RabbitMQ, Pulsar, and Kafka Queues
Schema Registry: why schemas matter, Avro fundamentals, compatibility modes, and schema evolution

Cluster architecture: ZooKeeper, controller election, KRaft architecture, and the KRaft migration process
Security: TLS/SSL, SASL mechanisms, ACL authorization, and end-to-end encryption
Lab: Avro producer/consumer and a schema evolution exercise

Day 2 — Reliability, Performance and Kafka Connect

Reliability: replication internals, ISR, acknowledgement strategies, idempotent producers, transactions, and exactly-once processing
Performance tuning: optimizing for throughput, latency, durability, and availability
Kafka Connect: architecture, workers and tasks, converters, SMTs, JDBC connectors, and Debezium CDC
REST Proxy: architecture, use cases, and trade-offs
Lab: Build a JDBC source connector and a JDBC sink connector

Day 2 — Multi-Cluster Architectures, Monitoring and Stream Processing

Multi-cluster Kafka: active-passive, active-active, stretched cluster, and RPO/RTO concepts
Monitoring: broker, producer, and consumer metrics, JMX, Prometheus, Cruise Control, Kafka Monitor, and Trogdor
Stream processing concepts: event-driven analytics, stateless and stateful transformations, event time, and windowing
Kafka Streams: architecture, KStream, KTable, state stores, joins, aggregations, and scaling

Who should attend

This course is designed for developers, engineers, and architects who need to build, operate, or secure Kafka-based systems in production. Basic programming knowledge and familiarity with distributed systems concepts are recommended; no prior Kafka experience is required.

Feedback

4.8 out of 5 average

RL, Financial Crime Technologist, Apache Spark, April 2021

“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”

Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022

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More about this course

Apache Kafka has become the backbone of modern event-driven and streaming architectures, powering real-time data pipelines across banking, telecoms, and enterprise systems worldwide. This course takes participants from foundational concepts — topics, partitions, producers, and consumers — through to advanced topics including schema management, security, reliability guarantees, multi-cluster design, and stream processing with Kafka Streams.

Covering Kafka 4.0 developments such as KRaft and the new consumer protocol, the course is fully hands-on, with labs reinforcing every major module. By the end, participants will be equipped to design, build, and operate robust Kafka systems in real production environments.

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