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 Training Apache Kafka - Mastering Real-Time Data Streams training are: Knowledge of Java or Python, Linux basics, distributed systems and messaging concepts. A preliminary interview validates your eligibility.

Is the training available in person?

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

Training Apache Kafka - Mastering Real-Time Data... | 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 Training Apache Kafka - Mastering 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.

Teaching resources provided

To ensure the quality of the Training Apache Kafka - Mastering Real-Time Data 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 Training Apache Kafka - Mastering Real-Time Data 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 objectives

Master Kafka architecture for professional, certifying data pipelines

Configure and deploy a scalable Kafka cluster in an enterprise environment

Develop optimized producers and consumers for massive streams

Implement Kafka Streams for real-time event processing

Optimize management of topics, partitions, and Kafka replication

Integrate Kafka with tools like Spark and Elasticsearch in production

Acquire certifying skills for modern event-driven architectures

Training program

Module 1Kafka Architecture: Design Scalable Topics and Brokers (Zookeeper, Replication)

Dive into the basics of Apache Kafka with local cluster installation, exploration of key concepts like brokers, topics, and partitions, initial configuration via Kafka CLI and admin tools, practical exercises on creating partitioned topics, simulation of replication for high availability, production of first messages to validate flows, while analyzing concrete enterprise cases for immediate and actionable understanding.

Module 2Kafka Configuration: Secure and Deploy a Production Cluster (ACL, SSL)

Configure a robust Kafka cluster by enabling security with Kerberos and SSL, manage quotas and ACLs for fine-grained access control, deploy multi-node setups with Docker Compose or Kubernetes, test fault tolerance by killing brokers, optimize JVM and OS parameters for performance, practical workshops on mirroring between clusters, produce a deployment plan ready for enterprise with checklists and basic monitoring.

Module 3Kafka Producers: Develop High-Performance Inbound Streams (Serialization, Batching)

Develop advanced Kafka producers in Java or Python with Avro serializers and Schema Registry, implement batching and compression to scale to millions of messages per second, handle errors with retries and dead letter queues, exercises on integration with databases via Kafka Connect, measure throughput and latency in real time, e-commerce use cases for logs and transactions, deliverable of a customized and load-tested producer.

Module 4Kafka Consumers: Implement Parallel Processing (Groups, Rebalancing)

Master Kafka consumers with consumer group and dynamic rebalancing management, exactly-once processing via transactions, Kafka Streams integration for real-time aggregations on continuous streams, develop stream processing apps with joins and windowing, workshops on KSQL for SQL queries on streams, simulate high-velocity IoT scenarios, produce a robust consumer connected to Elasticsearch for instant dashboarding.

Module 5Kafka Optimization: Monitoring and Tuning for Enterprise (Prometheus, Partition Tuning)

Optimize your Kafka cluster with advanced partition tuning and retention policies, set up monitoring via Prometheus, Grafana, and Kafka Exporter, diagnose bottlenecks under load, best practices for horizontal scaling and zero-downtime upgrades, red thread project integrating producers, streams, and consumers on a real business case, collective code review, action plan for production implementation with quantified ROI.