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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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The Training Kafka - Master Real-Time Data 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 Kafka - Master Real-Time Data 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 Kafka - Master Real-Time Data 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.
Install a complete Kafka cluster with ZooKeeper, configure brokers and security, create and manage topics via CLI and API, test message production and consumption with Java clients, simulate failures to validate fault tolerance, produce deliverable: functional local cluster ready for production, while practicing concrete exercises that boost your immediate confidence.
Develop idempotent producers and performant grouped consumers, integrate Avro serialization, implement Kafka Streams for real-time aggregations on simulated e-commerce streams, debug exactly-once semantics, chain practical exercises on real banking cases, generate deliverables: deployable producer/consumer/streams applications, experience the excitement of coding scalable pipelines live.
Deploy monitoring with Prometheus and Grafana, optimize partitions for 10x throughput, integrate Kafka Connect with Elasticsearch and Spark, analyze logs for tuning, resolve high-availability failure scenarios, conclude with capstone project on real IoT streams, produce complete monitoring portfolio, leave with proven production expertise that impresses recruiters.
Target audience
Data engineers, Java/Scala developers, systems architects seeking to upskill in event streaming.
Prerequisites
Proficiency in Java or Python, knowledge of distributed systems, experience with messaging systems such as RabbitMQ.
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