Loading...
Please wait a moment
Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
Loading available slots...
Comprehensive guide to Figma training in 2025, covering essentials to sophisticated prototyping. Ideal for designers preparing for professional growth.
Professional Training training in Tucson in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Discover Learni's comprehensive Excel training program launching in May 2026, guiding learners from basic spreadsheets to advanced data mastery for career success.
Cybersecurity training in Oklahoma City in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
The Training Apache Kafka - Mastering Advanced Real-Time Streams training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Apache Kafka - Mastering Advanced Real-Time Streams training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Apache Kafka - Mastering Advanced Real-Time Streams training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into Kafka Streams to transform real-time streams with hands-on exercises on complex topologies, implement stateful applications managing exactly-once semantics, explore KSQL for dynamic SQL queries on streams, simulate horizontal scaling with dynamic partitions, test resilience through network fault simulations, produce a production-ready ETL pipeline prototype, integrate advanced patterns like stream joins and windowed aggregations for concrete enterprise use cases.
Integrate Apache Kafka with Spark for unified batch-stream processing via exercises on native connectors, orchestrate pipelines with Airflow for complex DAGs including Kafka producers-consumers, configure security with Kerberos, ACLs, and TLS for secure clusters, deploy monitoring with Prometheus and Grafana on custom metrics, optimize broker and partition tuning for million messages-per-second throughput, analyze real production incident cases, deliver a complete scalable ETL pipeline tested under high load in a simulated cloud environment.
Target audience
Data engineers, big data architects, DevOps, and experienced backend developers aiming to upskill on enterprise streaming pipelines
Prerequisites
Mastery of Apache Kafka basics, Java or Scala, distributed systems, NoSQL databases, and simple ETL processes
Loading...
Please wait a moment





























