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Training Apache Kafka - Mastering Real-Time Data Streams

Ref: SAA276
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master Apache Kafka architecture to design professional and scalable data pipelines in enterprise settings.
  • Develop robust producer-consumer applications during this certifying training.
  • Implement real-time processing with Kafka Streams to boost data skills.
  • Integrate Kafka with tools like Spark and Airflow in advanced ETL workflows.
  • Optimize performance and resilience of Kafka clusters for production environments.
  • Configure security and monitoring for secure enterprise deployments.

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 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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Apache Kafka Fundamentals: Architecture, Topics, and Partitions (Installation, Zookeeper)

Discover Apache Kafka's distributed architecture through practical remote installation, configure brokers and Zookeeper on virtual clusters, create your first topics with optimized partitions, test replication for high availability, perform exercises on scalability, produce initial messages and visualize real-time logs, obtain a functional cluster as a concrete deliverable to start your professional projects.

Module 2Apache Kafka Producers and Consumers: Serialization, Offsets (Java/Python Clients)

Dive into producer APIs to send massive streams with ack all and automated retries, implement consumers with group ID for parallelism, manage offsets manually or via commit, practice JSON/Avro serialization on real e-commerce cases, debug lags with Kafka tools, build a complete producer-consumer pipeline, export your source code as a deliverable ready for enterprise integration.

Module 3Apache Kafka Streams: Transformations, Joins, and Aggregations (Streams API)

Master Kafka Streams for serverless real-time processing, code topologies with map, filter, and join on unlimited streams, manage state with RocksDB stores, test windowing for hourly analytics, integrate KSQL for SQL-like queries, apply to real IoT log datasets, deploy a scalable Streams app, retrieve diagrams and code as pedagogical deliverables for advanced skills.

Module 4Apache Kafka Integrations: Spark, Kafka & Airflow (Hybrid ETL Pipelines)

Connect Kafka to Apache Spark for unified batch/streaming processing, orchestrate workflows with Airflow DAGs triggered by Kafka, implement Debezium connectors for CDC, test end-to-end ETL on S3 data lakes, optimize backpressure and fault-tolerance, simulate high-volume banking cases, generate DAG scripts and Spark notebooks as deliverables, strengthen professional data engineering skills.

Module 5Apache Kafka Administration: Monitoring, Tuning, and Security (Kafka Manager, ACL)

Administer Kafka clusters with MirrorMaker for cross-DC replication, tune JVM and OS for million msg/s throughput, secure with SASL/SSL and Kafka ACL, monitor with Prometheus/Grafana and Kafka Cruise Control, manage zero-downtime upgrades, practice disaster recovery on fault-injection scenarios, deploy customized dashboards, obtain configs and Ansible playbooks as deliverables for enterprise production ops.

Evaluation method

  • Interactive quizzes and graded labs each day on the remote platform.
  • Final project: complete Kafka-Spark-Airflow pipeline evaluated by experts.
  • Qualiopi certificate with validated skills and personalized feedback.

Learning method

  • 70% hands-on labs on dedicated cloud environments.
  • Real case studies from Fortune 500 companies using Kafka.
  • Unlimited replay videos and materials post-training.
  • Live Q&A sessions with certified Kafka mentors.

Methods, materials and delivery

The Training Apache Kafka - Mastering 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 Apache Kafka - Mastering 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 - Mastering 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

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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