Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Advanced Kafka Training - Master Massive Real-Time Streams training are: Mastery of intermediate Kafka, Java/Scala, Linux, distributed systems.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Advanced Kafka Training - Master Massive Real-Time Streams training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Advanced Kafka Training - Master Massive Real-Ti... | Learni

The story of Learni

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.

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Methods, approaches, and teaching resources

The Advanced Kafka Training - Master Massive 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.

Teaching resources provided

To ensure the quality of the Advanced Kafka Training - Master Massive Real-Time Streams training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and 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.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Advanced Kafka Training - Master Massive Real-Time Streams training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

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.

Training program

Module 1Kafka Architecture: Scalable Clusters (ZooKeeper, MirrorMaker)

Dive into multi-node cluster configuration, install ZooKeeper for coordination, deploy MirrorMaker for replication, perform hands-on exercises on advanced partitioning, create optimized topics, test real-time failover, produce deliverables like production-ready partitioned schemas.

Module 2Kafka Performance: Tuning Brokers and Consumers (JVM, Batching)

Optimize throughput via JVM tuning, producer/consumer batching, analyze bottlenecks with Kafka tools, simulate massive loads at 10M events/s, adjust configurations for <10ms latency, practice on real e-commerce cases, generate performance reports with key metrics.

Module 3Kafka Streams: Stateful Processing (Joins, Aggregations)

Develop Streams apps in Java, implement global joins, tumbling windows, state stores with RocksDB, handle exactly-once semantics, code exercises on real IoT streams, debug complex topologies, produce deployable pipelines with integrated unit tests.

Module 4Kafka Security: ACLs, Kerberos, Monitoring (Prometheus)

Secure clusters with Kerberos, granular ACLs, SSL/TLS encryption, configure audit logs, integrate Prometheus/Grafana for live dashboards, simulate attacks, strengthen producer/consumer auth, create tested secure setups, deliverables include auditable configs.

Module 5Kafka Integrations: Spark, Kubernetes, Capstone Project

Integrate Kafka with Spark Streaming, deploy on Kubernetes with Helm charts, orchestrate Connect for external sources, complete final project on real-time banking pipeline, optimize end-to-end, present solutions, receive expert feedback, take away source code and ready deployment.