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.
Learning objectives
- Master the fundamentals of Apache Flink for professional stream processing
- Develop certifiable real-time streaming data applications
- Configure scalable Flink pipelines for the enterprise
- Implement state management and temporal windows in Flink
- Optimize Flink jobs for production performance
- Integrate Apache Flink with Kafka and external databases
- Deploy Flink clusters in cloud or on-premise mode
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.
Program
Module 1Apache Flink Fundamentals: Installation and First Streaming Jobs (Local Environment, Flink CLI)
Immersive discovery of Apache Flink's key concepts, quick installation of the development environment with creation of a first stream processing job, exploration of the data model and DataStream APIs for ingesting real-time events, practical exercises on simple logs from Kafka, interactive debugging with the Flink web interface and production of basic reports, immediately enhancing your streaming skills for professional projects.
Module 2Apache Flink Transformations: Operators and Custom Functions (map, filter, keyBy, aggregations)
Deep dive into essential transformations with map, flatMap, and filter on continuous streams, defining keys for advanced groupBy operations, implementing rich custom functions in Java or Scala, real-world IoT data analysis cases in real-time with aggregations on sliding windows, collaborative exercises to optimize latency, generation of actionable enterprise metrics, strengthening your mastery of performant data pipelines by the end of the day.
Module 3Apache Flink State Management: Windows and Stateful Streams (Event Time, Processing Time)
In-depth mastery of state management with keyed state and operator state, configuration of tumbling, sliding, and session windows for precise temporal analyses, integration of ValueState and ListState on simulated real streams, practical workshops on e-commerce scenarios with unique event counting, checkpointing for fault tolerance, production of interactive dashboards, illustrating Apache Flink's robustness for your critical production applications.
Module 4Apache Flink Integrations: Kafka Connectors, JDBC, and External Sinks (Distributed Scalability)
Seamless connections with Kafka for massive stream ingestion, configuration of Flink sources and sinks for NoSQL and SQL databases, deployment of distributed jobs on a mini standalone cluster, exercises on integration with Elasticsearch for real-time indexing, fault tolerance testing with exactly-once semantics, resource optimization for high data volumes, demonstrating Apache Flink's versatility in your enterprise hybrid data architectures.
Module 5Apache Flink Deployment and Optimization: Monitoring and Tuning in Production (YARN, Kubernetes)
Preparation for cluster deployment with YARN or Kubernetes, tuning parameters for high availability and low latency, use of Flink Dashboard and Prometheus for advanced monitoring, final workshops on a complete red thread project with automated alerts, best practices for horizontal scalability, personalized code review and enterprise implementation plan, concluding with certification of your streaming data expertise.
Evaluation method
- Multiple-choice quiz to validate learning outcomes at the end of the training
- Continuous assessment through practical exercises on real streams
- Presentation of the red thread Flink project to the expert trainer
Learning method
- Courses led by an active expert Flink trainer
- Practical exercises on real enterprise data cases
- Progressive red thread project in streaming throughout the training
- Complete course materials and Flink resources provided
Methods, materials and delivery
The Training Apache Flink - Processing 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 Flink - Processing 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 Flink - Processing 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
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
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.
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.
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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