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Training Apache Flink 2026 - Mastering Advanced Real-Time Streaming

Ref: AEC734
10 people max.
4400€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
4 journées
distanciel

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Learning objectives

  • Master the advanced APIs of Apache Flink 2026 to develop professional streaming pipelines
  • Develop scalable stateful applications in certified training for companies
  • Optimize real-time processing performance with intermediate Flink skills
  • Implement custom operators and manage state in distributed environments
  • Design fault-tolerant topologies for real estate and construction business cases
  • Deploy and monitor Flink 2026 jobs in production with integrated tools
  • Acquire certified skills to boost your career in data engineering

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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Fundamentals of Apache Flink 2026: DataStream API and State Management (practical exercises, diagrams)

Discover the evolutions of Apache Flink 2026 with a focus on advanced DataStream APIs, implement keyBy and reduce operators for real-time real estate streams, manage state with RocksDB and automated checkpoints during exercises on construction site datasets, configure watermarks for late data, produce your first scalable jobs tested in a local cluster, analyze logs for rapid debugging, and validate deliverables like a functional prototype pipeline.

Module 2Custom Operators in Apache Flink 2026: ProcessFunction and Side Outputs (live coding, construction cases)

Dive into low-level ProcessFunction in Apache Flink 2026, code timed and keyed functions to monitor IoT sensors on construction sites, integrate side outputs to alert on structural anomalies in real estate, test resilience with failure simulations, optimize memory via state backends, deploy on Kubernetes through practical exercises, generate Prometheus metrics for Grafana dashboards, and deliver a customized module ready for enterprise production.

Module 3Table API and SQL in Apache Flink 2026: Dynamic Queries on Streams (SQL workshops, Kafka integrations)

Master Table API and Flink SQL in Apache Flink 2026 for real-time analytics on real estate data, write complex queries with temporal joins and windowing on Kafka streams, integrate Elasticsearch connectors for rapid indexing, execute Java UDFs for custom calculations on massive construction volumes, benchmark performance with explain plans, migrate Spark jobs to Flink via guided workshops, and produce an interactive dashboard as a certifying deliverable for your professional skills.

Module 4Deployment and Tuning of Apache Flink 2026: YARN Clusters, Advanced Monitoring (final project, certification)

Deploy Apache Flink 2026 jobs in HA mode on YARN and Kubernetes, tune slots and parallelism to scale on 100k+ events/second, configure monitoring with Flink Web UI and Prometheus, simulate automated recoveries on network failures, integrate NoSQL sinks for real estate persistence, review security best practices and memory tuning, finalize a capstone project on real-time construction site monitoring, and complete the evaluation for Qualiopi certification validating your enterprise skills.

Evaluation method

  • Daily interactive quizzes on Flink 2026 concepts
  • Practical projects with code review by expert trainers
  • Final exam and hands-on scenario on real construction cases

Learning method

  • Learning through concrete projects inspired by real estate and construction
  • Hands-on exercises in small groups of 10 max
  • Live coding with immediate feedback from trainers
  • Real use cases for lasting professional impact

Methods, materials and delivery

The Training Apache Flink 2026 - Mastering Advanced Real-Time Streaming 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 2026 - Mastering Advanced Real-Time Streaming 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 2026 - Mastering Advanced Real-Time Streaming 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

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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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