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Training Kafka - Master Real-Time Data Streams

Ref: UOC886
10 people max.
$6,300 HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$180/day onsite · +$540 with certification exam
5 days
Remote

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Learning objectives

  • Set up a scalable and resilient Kafka cluster
  • Develop high-performance producers and consumers
  • Implement Kafka Streams for real-time processing
  • Secure streams with SSL and ACL
  • Optimize performance and monitor in production
  • Integrate Kafka with Spark and Elasticsearch
  • Deploy complete pipelines on real-world cases

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without Kafka mastery, 40% of data pipelines fail in production, leading to losses of 5000€ per minute of downtime according to Gartner.

  • Data engineers lose 20h/week debugging unstable streams, miss real-time opportunities like fraud detection (30% reduction in losses).

  • Companies without Kafka skills see cloud costs explode by 25% due to unoptimized overload.

  • Risk of GDPR non-compliance with poorly managed logs.

  • Train to avoid these pitfalls and boost your data ROI x3.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Kafka Installation: Distributed Cluster (Docker, Zookeeper, Kafka Broker)

Install a multi-node Kafka cluster with Docker, configure Zookeeper for coordination, create your first topics and partitions, test high availability through practical exercises on failure scenarios, produce and consume your first messages to validate the solid basics of a reliable stream.

Module 2Advanced Producers and Consumers: Serialization, Offsets (Kafka Java API)

Develop asynchronous producers with compression and retries, implement consumers in group mode with automatic rebalancing, manage offsets manually through exercises on high-volume streams, integrate Avro for schema-based serialization, and produce a deliverable: a functional producer-consumer pipeline.

Module 3Kafka Streams: Stream Processing (Streams API, KTables, Joins)

Master Kafka Streams to transform real-time streams, code topologies with aggregations and time windows, integrate KTables for stateful joins, apply to concrete cases like IoT log analysis, test resilience with exactly-once semantics, and deploy your first scalable Streams app.

Module 4Kafka Security and Monitoring: SSL, ACL, Prometheus (Kafka Manager)

Configure security with SSL/TLS and Kerberos, implement ACLs to control topic access, monitor metrics via Prometheus and Grafana, diagnose bottlenecks on simulated clusters, resolve real incidents through practical exercises, and secure a complete cluster as a final deliverable.

Module 5Kafka Integrations and Production: Spark, Elasticsearch (Helm Kubernetes)

Integrate Kafka with Spark Streaming and Elasticsearch for end-to-end pipelines, deploy on Kubernetes via Helm, optimize for horizontal scaling, simulate massive loads with 1 million messages/second, build a capstone project on an e-commerce use case, and prepare for production deployment with best practices.

Evaluation method

  • Daily practical quizzes on exercises
  • Final project: complete Kafka pipeline
  • Qualiopi skills certification

Learning method

  • 80% hands-on on real labs
  • Exercises inspired by production environments
  • Video support and source code provided

Methods, materials and delivery

The Training Kafka - Master Real-Time Data Streams program is delivered onsite or remote (blended-learning, e-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 Kafka - Master 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 Kafka - Master 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 eligible for corporate training budgets and employer-funded plans.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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