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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master Flink's DataStream and Table APIs for professional pipelines
- Develop scalable and fault-tolerant stream processing applications
- Optimize Flink job performance in cluster environments
- Implement advanced state management with exactly-once semantics
- Integrate Flink with Kafka, Elasticsearch, and NoSQL databases in enterprise settings
- Deploy and monitor certified production streams
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without mastery of Apache Flink, your stream pipelines suffer latencies above 500ms, losing 40% of real-time insights critical to the business.
Data teams without Flink waste 35% of time debugging obsolete batch processes, costing 1,5M€ annually in missed opportunities according to Gartner.
72% of data analytics breaches stem from non-scalable processing.
In 2025, backward companies see their data engineers rejected by 65% of recruiters.
Every delay widens the competitive gap: become an expert before it is too late.
Program
Module 1Flink Architecture: Advanced APIs and Stream Processing (DataStream, Table API, Kafka)
Dive into Apache Flink's distributed architecture, set up a cluster with Docker and Flink Standalone, master the DataStream API for filtering, mapping, and windowing real-time streams, integrate Kafka sources to ingest massive events, perform practical exercises on complex joins and aggregations, produce fault-tolerant jobs via automated checkpoints, test on real enterprise cases with personalized code review to boost your professional skills.
Module 2Flink Optimization: State, Scaling, and Deployment (CEP, Monitoring, Prometheus)
Optimize your Flink pipelines to scale to millions of events per second, implement state management with RocksDB and exactly-once processing, explore Complex Event Processing to detect advanced patterns, deploy in Kubernetes mode with Helm, set up monitoring via Flink Dashboard and Prometheus, fine-tune performance through memory tuning and backpressure, build an ongoing project on real IoT streams, generate production-ready deliverables, and receive expert feedback for certified enterprise applications.
Evaluation method
- Expert quiz on Flink API and optimization
- Practical evaluation of stream jobs in cluster
- Presentation of the ongoing project pipeline with metrics
Learning method
- Training by Flink production expert trainer
- Hands-on exercises on real simulated clusters
- Progressive ongoing stream processing project
- Detailed course materials and source codes provided
Methods, materials and delivery
The Training Apache Flink - Processing Massive Streams in Real Time program is delivered onsite or remote (blended-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 Massive Streams in Real Time 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 Massive Streams in Real Time 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
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
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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FAQ
Frequently asked questions
How much does the Training Apache Flink - Processing Massive Streams in Real Time training cost?+
The price is $2,940 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Apache Flink - Processing Massive Streams in Real Time training?+
The training lasts 2 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Expertise in Java/Scala, proficiency in Kafka or Spark Streaming, knowledge of distributed systems
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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