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Training Apache Flink - Processing Real-Time Data Streams

Course created on July 27, 2026Updated on October 5, 2026

On quote$5,775

5 days
Onsite
10 people max.

Request a quote See the program

Ref: THD100

10 people max.

On quote$5,775

In-company rate: on quotefrom $10,395 for the whole team

On-site and certification exam on quote

5 days

Onsite

Don't let this gap widen

Why this program matters

Without Apache Flink, data teams waste 50% of their time on outdated batch processing, producing insights delayed by several critical business hours.
Streaming latency incidents cause 30% revenue losses in real-time e-commerce, with 65% of companies reporting costly downtimes due to non-scalable tools.
In 2024, 78% of data engineers without Flink skills are passed over for senior roles, widening the competitive gap as data flows grow 40% annually.
Master Flink to avoid these pitfalls and advance your career.

Trusted by — schools, companies and industrial groups

25,750 programs · 25 countries

Every program built with a dedicated engineer

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

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

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, 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

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.

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.

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.

A child walking to school with a backpack

Our social commitment

A school kit donated to a child for every training booked

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

Enroll and offer a kit

FAQ

Frequently asked questions

Which tools are used in Apache Flink training?+

Hands-on work runs on local Environment, flink CLI, map, filter, keyBy and aggregations. Those tools come from the Apache Flink program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.

What can participants do after Apache Flink training?+

They can master the fundamentals of Apache Flink for professional stream processing, develop certifiable real-time streaming data applications and configure scalable Flink pipelines for the enterprise. Those are the stated objectives of the Apache Flink program at Beginner level, checked by the end-of-session assessment.

What does the Apache Flink program cover, day by day?+

Day 1: Apache Flink Fundamentals: Installation and First Streaming Jobs (Local Environment, Flink CLI). Day 2: Apache Flink Transformations: Operators and Custom Functions (map, filter, keyBy, aggregations). Day 3: Apache Flink State Management: Windows and Stateful Streams (Event Time, Processing Time). Day 4: Apache Flink Integrations: Kafka Connectors, JDBC, and External Sinks (Distributed Scalability). Day 5: Apache Flink Deployment and Optimization: Monitoring and Tuning in Production (YARN, Kubernetes). The Apache Flink program runs over 5 days, delivered on site.

How is Apache Flink training assessed?+

Assessment relies on multiple-choice quiz to validate learning outcomes at the end of the training, continuous assessment through practical exercises on real streams and presentation of the red thread Flink project to the expert trainer. Learni issues a completion certificate together with the individual assessment report at the end of the Apache Flink program, which an L&D team can file as evidence.

How much does Apache Flink training cost per participant?+

Apache Flink training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.Apache Flink training costs $5,775 per participant. For an in-company team, the flat rate starts at $10,395 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.

How long does Apache Flink training take?+

5 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.

Who pays for Apache Flink training?+

Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.

What do participants need to know before Apache Flink training?+

Java or Python basics, fundamentals of programming and structured data.

Is a certificate issued after Apache Flink training?+

Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.

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