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Training Apache Kafka - Managing Massive Real-Time Data Streams

Ref: RTX442
10 people max.
From $6,431 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
5 days
Remote

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Learning objectives

  • Master the distributed architecture of Apache Kafka for professional deployments
  • Develop advanced producers and consumers optimized for enterprise use
  • Implement Kafka Streams for certified real-time stream processing
  • Configure security and monitoring for scalable Kafka clusters
  • Integrate Kafka with big data ecosystems like Spark and Flink
  • Optimize Kafka performance for massive data volumes
  • Deploy Kafka pipelines in production with high availability

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Apache Kafka Architecture: Advanced Cluster Configuration (brokers, partitions, replication)

Dive into advanced Kafka multi-broker cluster configuration with ZooKeeper or KRaft, optimized topic partitioning for horizontal scaling, hands-on exercises on creating high-availability topics, simulation of failures to test synchronous/asynchronous replication, production of a documented cluster schema ready for enterprise use, personalized feedback from the trainer on your configurations.

Module 2Apache Kafka Producers and Consumers: Performance Optimization (serialization, batching)

Develop idempotent and transactional Kafka producers with Snappy/LZ4 compression, offset management for exactly-once semantics, implement rebalanced consumers with group management, hands-on workshops on simulated massive streams at 1M messages/second, tuning parameters to minimize latency, creation of a scalable consumer group with Prometheus metrics, leverage your skills for immediate professional projects.

Module 3Apache Kafka Streams: Real-Time Stream Processing (KStreams, KTables, joins)

Master the Kafka Streams API for stateful applications, develop topologies with windowing and aggregations on continuous streams, integrate KSQL for SQL queries on streams, exercises on real-time e-commerce cases like fraud detection, deployment of Streams apps in Docker containers, production of a stream processing microservice prototype, transform your data into actionable business insights.

Module 4Apache Kafka Security and Monitoring: ACL, Encryption, Observability Tools (JMX, Kafka Cruise Control)

Configure Kafka security with SASL/SCRAM, TLS for in-transit encryption, granular ACL setup for producers/consumers, advanced monitoring via Kafka Manager and Grafana, workshops on partition auto-rebalancing with Cruise Control, simulation of attacks to test defenses, delivery of a complete supervision dashboard, protect your critical pipelines and enhance professional reliability.

Module 5Apache Kafka Integrations and Deployment: Connectors, Scaling with Kubernetes (Helm, operators)

Integrate Kafka with Spark, Flink, and Elasticsearch via Kafka Connect, deployment on Kubernetes with Strimzi Operator, optimization for AWS/MSK cloud or on-premise, real-world enterprise real-time ETL cases, disaster recovery and blue-green deployment exercises, finalization of the red thread project with GitHub Actions CI/CD, leave with a concrete portfolio certifying your advanced Kafka skills.

Evaluation method

  • Multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous evaluation through practical exercises
  • Defense of the red thread project in front of the trainer

Learning method

  • Instructor-led sessions by an active expert trainer
  • Practical exercises on real business cases
  • Progressive red thread project throughout the training
  • Complete course materials provided to each participant

Methods, materials and delivery

The Training Apache Kafka - Managing Massive Real-Time Data Streams program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Apache Kafka - Managing Massive Real-Time Data Streams program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Apache Kafka - Managing Massive Real-Time Data Streams program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

FAQ

Frequently asked questions

How much does the Training Apache Kafka - Managing Massive Real-Time Data Streams training cost?+
The individual price is $6,431 (USD). A detailed quote is sent within one business day.
How long is the Training Apache Kafka - Managing Massive Real-Time Data Streams training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Experience in Java or Python, basics in Apache Kafka, knowledge of distributed systems and Linux
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote

This training across cities

Available on-site and remotely. Pick your city to see the local training center.

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