Kafka Training
Event streaming has become the backbone of modern data platforms, carrying payments, clicks, sensor readings and system logs between services in milliseconds. Over ten days you learn how Apache Kafka works as a distributed commit log, covering brokers, topics, partitions, offsets and cluster controllers. Topic design sessions address partition counts, keys, replication factors, in-sync replicas and retention for scalability and durability. You will then build producer applications with acknowledgements, batching, idempotence and compression, followed by consumers, consumer groups, rebalancing and offset management.
Integration sessions use Kafka Connect source and sink connectors to move data between databases, files and cloud services, with schema management through a schema registry. Stream processing with Kafka Streams covers stateless and stateful operations, joins, windowing and exactly-once semantics. Later days address security, monitoring, performance tuning and operating clusters in production. Hands-on labs build an event-driven pipeline step by step. Data engineers, backend developers, platform and DevOps engineers and solution architects will find the depth suitable. You finish able to design, build and run reliable event streaming applications.
About this course
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.
Training Objectives
By the end of this course, participants will be able to:
- Develop robust kafka frameworks that support successful implementation and measurable outcomes.
- Analyze performance using recognized evaluation methods drawn from producer application design.
- Design practical systems that strengthen accountability, transparency and evidence generation.
- Evaluate outcomes and assess longer-term impact across a range of operating contexts.
- Apply relevant tools, frameworks and analytical methodologies confidently and appropriately.
- Integrate kafka security and data protection into existing organizational processes and reporting structures.
- Strengthen decision-making and operational effectiveness through evidence-based professional practice.
What you'll learn
Key Takeaways
By the end of the Kafka Training, participants will leave with:
- A comprehensive working understanding of kafka principles and performance-measurement methodology.
- Enhanced ability to design practical systems and evaluate outcomes reliably.
- Improved competency in producer application design, reporting structures and analytical interpretation.
- Practical techniques for translating findings into strategic insight and clear recommendations.
- Greater confidence in applying kafka and assessing measurable results.
- Stronger capability to support organizational learning and continuous performance improvement.
- Improved approaches to strengthening sustainability, accountability and operational effectiveness.
Training Methodology
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:
- Expert-led sessions facilitated by experienced kafka practitioners and subject-matter specialists.
- Practical application of the frameworks, tools and techniques used in producer application design.
- Real-world case studies drawn from technology organizations, digital transformation programmes, data-driven enterprises, and public sector IT environments.
- Tool-based demonstrations of the systems, templates and reporting applications used in current practice.
- Interactive discussion and scenario-based learning focused on realistic challenges and decision points.
- Structured group exercises with facilitator feedback, reinforcing learning through practice rather than lecture alone.
Day 1: Kafka Architecture and the Distributed Log
- The commit log abstraction: append-only storage, offsets and immutability
- Brokers, controllers and cluster metadata management
- Topics, partitions and the mapping of partitions to broker log directories
- Producer, consumer and consumer group interaction with the cluster
- Comparing Kafka with traditional message queues and batch pipelines
- Deploying a multi-broker cluster and inspecting topic metadata
- Common challenges, risks and failure points in kafka architecture and the distributed log
Day 2: Topic Design, Partitioning and Replication
- Choosing partition counts for target throughput and parallelism
- Keying strategies, partitioners and ordering guarantees
- Replication factor, leader and follower roles, in-sync replica sets
- min.insync.replicas, unclean leader election and durability trade-offs
- Retention by time and size, log compaction for keyed state
- Partition reassignment and rebalancing data across brokers
- Worked example: applying topic design, partitioning and replication in a live kafka context
Day 3: Producer Application Design
- Producer internals: record accumulator, batching, linger.ms and compression
- Acknowledgement modes and their effect on latency and durability
- Idempotent producers and exactly-once semantics with transactions
- Retries, delivery timeouts and handling non-retriable errors
- Serialization choices: Avro, Protobuf, JSON and schema registry integration
- Benchmarking producer throughput and tuning for high-volume ingestion
- Decision points and escalation routes in producer application design
Day 4: Consumer Applications and Group Coordination
- Consumer groups, group coordinator and partition assignment strategies
- Cooperative sticky rebalancing and minimising stop-the-world rebalances
- Offset management: auto-commit, manual commit and external offset stores
- At-least-once, at-most-once and exactly-once consumption patterns
- Fetch tuning, max.poll.records and avoiding consumer lag spikes
- Building idempotent consumers and dead letter handling
- Technology and automation supporting consumer applications and group coordination
Day 5: Kafka Connect for Source and Sink Integration
- Connect architecture: workers, connectors, tasks and converters
- Standalone versus distributed mode and worker configuration
- Source connectors for relational databases and change data capture
- Sink connectors to object storage, search and analytical warehouses
- Single Message Transforms, predicates and error tolerance settings
- Deploying connectors via the REST API and monitoring task status
- Planning and sequencing kafka connect for source and sink integration within the wider workflow
Day 6: Stream Processing with Kafka Streams
- Streams DSL: KStream, KTable and GlobalKTable abstractions
- Stateless operations: filter, map, branch and repartitioning
- Stateful aggregations, state stores and changelog topics
- Windowing: tumbling, hopping, sliding and session windows
- Stream-stream and stream-table joins with co-partitioning requirements
- Building an end-to-end real-time enrichment and aggregation topology
- Resourcing, cost and capacity considerations
Day 7: Advanced Streams, Exactly-Once and ksqlDB
- Processor API for custom processing logic and punctuation
- Exactly-once processing guarantees across read-process-write cycles
- Interactive queries against state stores and standby replicas
- Handling late and out-of-order events with grace periods
- Declarative stream processing with ksqlDB streams, tables and queries
- Testing topologies and planning application resets and upgrades
- Reviewing outcomes and capturing lessons learned
Day 8: Cluster Operations, Monitoring and Performance
- Key broker, producer and consumer JMX metrics worth alerting on
- Consumer lag measurement and interpreting under-replicated partitions
- Page cache, disk layout, network threads and request handler tuning
- Capacity planning for retention, throughput and partition counts
- Rolling broker restarts, upgrades and broker decommissioning
- Diagnosing common failures: ISR shrink, request timeouts, rebalance storms
- Standards, frameworks and good practice governing cluster operations, monitoring and performance
Day 9: Kafka Security and Data Protection
- TLS encryption for client-broker and inter-broker traffic
- Authentication with SASL/PLAIN, SCRAM, Kerberos and mTLS
- ACL design for topics, consumer groups and transactional IDs
- Quotas to control client bandwidth and request rate
- Protecting sensitive payloads, key management and audit logging
- Securing Connect workers, Streams applications and the schema registry
- Regulatory, ethical and compliance dimensions of kafka security and data protection
Day 10: Multi-Cluster, Disaster Recovery and Applied Design
- Geo-replication with MirrorMaker 2 and active-active topologies
- Backup, recovery objectives and failover runbooks for streaming platforms
- Event-driven patterns: event sourcing, CQRS and the outbox pattern
- Reference architectures for banking, telecom and e-commerce pipelines
- Governance: naming conventions, schema evolution and topic lifecycle
- Capstone: design, secure and operate a high-throughput streaming platform
- Practical exercise and facilitated review
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.
- 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
- Security engineers implementing authentication, authorisation and encryption on messaging infrastructure
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.
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
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Our training team can help with group pricing, invoicing, or picking the right schedule.
Choose Where You Want to Learn
Kafka Training Venues
KenyaMombasaNext Nov 2· 13 dates$3,200- KenyaNaivashaNext Nov 9· 13 dates$3,000
- KenyaNairobiNext Nov 16· 13 dates$3,000
- KenyaKisumuNext Nov 2· 13 dates$3,000
- KenyaMachakosNext Nov 9· 13 dates$3,200
UgandaKampalaNext Nov 9· 13 dates$3,800
RwandaKigaliNext Nov 2· 13 dates$3,800
South AfricaCape TownNext Nov 2· 13 dates$7,600
TanzaniaZanzibarNext Nov 23· 13 dates$5,200
UAEDubaiNext Nov 2· 13 dates$7,600- South AfricaPretoriaNext Nov 9· 13 dates$6,400
- South AfricaJohannesburgNext Nov 9· 13 dates$6,800
- TanzaniaDodomaNext Nov 2· 13 dates$3,600
- TanzaniaDar es SalaamNext Nov 2· 13 dates$4,000
- TanzaniaArushaNext Nov 16· 13 dates$3,800
NigeriaAbujaNext Nov 16· 13 dates$5,600- NigeriaLagosNext Nov 23· 13 dates$5,600
GhanaAccraNext Nov 23· 13 dates$9,000
Scroll sideways to see all 18 cities →
Frequently Asked Questions About Kafka Training
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.
The next live virtual cohort of Kafka Training starts November 16, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a 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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Training by Country
Kafka Training by Country
- Kafka Training in GhanaGHClassroom in Accra
- Kafka Training in KenyaKEClassroom in Mombasa, Naivasha, Nairobi, Kisumu, Machakos
- Kafka Training in NigeriaNGClassroom in Abuja, Lagos
- Kafka Training in RwandaRWClassroom in Kigali
- Kafka Training in South AfricaZAClassroom in Cape Town, Pretoria, Johannesburg
- Kafka Training in TanzaniaTZClassroom in Zanzibar, Dodoma, Dar es Salaam, Arusha
- Kafka Training in UgandaUGClassroom in Kampala
- Kafka Training in the UAEAEClassroom in Dubai
- Live Online Kafka TrainingInstructor-led, joined from anywhere
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