Apache Kafka powers real-time data pipelines at scale across banking, telecom, and e-commerce. This advanced course teaches engineers to design, configure, and operate Kafka clusters for reliable, high-throughput event streaming.
Apache Kafka has become the backbone of real-time data integration for organizations that need to move events reliably at scale — from transaction logs to IoT telemetry. This advanced course teaches data engineers to design topics, partitions, and producer-consumer architectures that scale without losing data.
Participants configure Kafka clusters, build producer and consumer applications, and apply operational practices for monitoring, scaling, and securing streaming pipelines in production environments.
Throughout the programme, participants work through realistic scenarios drawn from technology organizations, digital transformation programmes, data-driven enterprises, and public sector IT environments, examining how kafka is applied in practice and where it most often breaks down. Delegates will develop practical skill in designing appropriate frameworks, selecting and applying the right tools for producer application design, interpreting findings, and communicating conclusions clearly to colleagues, management and external stakeholders. Sessions move deliberately from principles to application, so that each technique introduced is practised against a realistic problem before the programme moves on — strengthening both individual effectiveness and the wider capability of the organizations delegates return to.
By the end of this course, participants will be able to:
By the end of the Kafka Training, participants will leave with:
This training course adopts a practical, participant-centered learning approach that builds kafka expertise, strengthens analytical capability and develops confident professional judgement. The methodology combines specialist facilitation, applied hands-on experience and globally recognized professional practice, so that delegates return able to apply what they have learned immediately rather than in theory only.
Methodology includes:
Day 1: Kafka Architecture and the Distributed Log
Day 2: Topic Design, Partitioning and Replication
Day 3: Producer Application Design
Day 4: Consumer Applications and Group Coordination
Day 5: Kafka Connect for Source and Sink Integration
Day 6: Stream Processing with Kafka Streams
Day 7: Advanced Streams, Exactly-Once and ksqlDB
Day 8: Cluster Operations, Monitoring and Performance
Day 9: Kafka Security and Data Protection
Day 10: Multi-Cluster, Disaster Recovery and Applied Design
Kafka Training targets engineers and operators who build or run event streaming platforms and need depth in broker configuration, stream processing and cluster reliability rather than an introduction to messaging.
Engineers who complete all ten days receive a Certificate of Completion from Vision Reach Global Consultancy, validating their ability to design Kafka topic and partition schemes, build producer, consumer, Connect and Streams applications, and monitor, secure and troubleshoot production Kafka clusters.
Everything you need to know about this course before you register.
By the end of the Kafka Training programme, you'll be able to explain kafka's architecture including brokers, topics, and partitions, design producer and consumer applications for event streaming, configure topic partitioning and replication for scalability and durability, and apply kafka connect for integrating external data sources and sinks. The full breakdown of topics is covered session by session in the Course Outline tab above.
Kafka Training targets engineers and operators who build or run event streaming platforms and need depth in broker configuration, stream processing and cluster reliability rather than an introduction to messaging. Typical delegates include Data engineers building real-time ingestion and ETL pipelines, Backend and platform engineers writing Kafka producer and consumer applications, Streaming architects designing event-driven systems across banking, telecom or e-commerce, DevOps and SRE engineers responsible for Kafka cluster uptime, scaling and monitoring, Integration engineers connecting databases, object stores and SaaS systems via Kafka Connect, Big data developers migrating batch workloads to Kafka Streams, and Security engineers implementing authentication, authorisation and encryption on messaging infrastructure.
Kafka Training typically runs as 10 Days. It's available as classroom, live virtual, and in-house training — every course can also be delivered on-site for your team on dates that suit you.
Kafka Training is scheduled in-classroom in Mombasa, Kenya, Naivasha, Kenya, Nairobi, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
Kafka Training runs on a rolling cohort basis, so a new intake is always coming up. Pick your preferred format and location in the schedule panel above, then click "Register for the Course" to reserve your seat — confirmation follows once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a CPD-accredited Certificate of Completion for Kafka Training from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Kafka Training is pitched at advanced professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Kafka Training vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Kafka Training can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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