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Training Airflow 2026 - Orchestrating Scalable Data Pipelines

Ref: XLV243
10 people max.
From $3,675 HT / per person
On-site on request · +$540 with certification exam
3 days
Remote

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Aptar
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Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
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Learning objectives

  • Master advanced Airflow 2026 DAGs for professional data workflows
  • Develop scalable and resilient pipelines in a certifying corporate environment
  • Implement sensors, branching, and dynamic DAGs for expert-level skills
  • Optimize Airflow performance with Celery and Kubernetes in production
  • Design custom tasks and Big Data integrations for complex projects
  • Deploy and monitor Airflow 2026 in secure cloud environments
  • Gain autonomy in debugging and scaling for data teams
A child walking to school with a backpack
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 Airflow 2026, 68% of data pipelines fail at scaling, costing 25 000€ per major incident in lost time and rework.

  • Non-expert data teams lose 45% productivity on complex orchestrations, exposing the company to critical analytical delays.

  • In 2026, 82% of Data Engineer job postings require advanced Airflow, risking forced career change or salary stagnation.

  • Every quarter without expert skills widens a 30% competitive gap in data delivery speed.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Airflow 2026: Advanced DAGs and Dynamic Orchestration (sensors, branching, datasets)

Dive into the new features of Airflow 2026 with the creation of dynamic DAGs generated by Python code, implement sensors for intelligent triggers on external datasets, explore conditional branching for adaptive workflows, perform practical exercises on real corporate ETL cases, build a first resilient pipeline with advanced error handling and unit tests, enhance your skills by documenting deliverables for data teams.

Module 2Airflow 2026: Custom Tasks and Big Data Integrations (Spark operators, Kafka, custom hooks)

Develop custom tasks in Python by inheriting from native operators to seamlessly integrate Spark and Kafka, configure custom hooks to S3 and BigQuery, apply to concrete projects such as real-time ingestion of massive logs, optimize with parallelism and intelligent retries, collaborate in pairs on live debugging of memory leaks, generate performance reports and scaling plans, transform your skills into immediate professional assets.

Module 3Airflow 2026: Production Scaling and Monitoring (Kubernetes, Celery, full observability)

Deploy Airflow 2026 in a Kubernetes cluster using Helm charts and high-availability CeleryExecutor, integrate Prometheus-Grafana for advanced DAG metrics monitoring, simulate extreme loads on large-scale enterprise cases, configure RBAC and secrets management for enterprise security, finalize a complete capstone project with CI/CD GitHub Actions, evaluate business impacts via data KPIs, leave with certifying expertise to boost your production pipelines.

Evaluation method

  • Expert quiz on Airflow 2026 concepts and best practices
  • Practical evaluation through debugging failing DAGs
  • Presentation of the capstone project on scalable data pipelines

Learning method

  • Sessions led by an Airflow production expert trainer
  • Hands-on exercises on real cloud environments
  • Evolving capstone project over 3 days for lasting skills
  • Complete training materials and source code provided

Methods, materials and delivery

The Training Airflow 2026 - Orchestrating Scalable Data Pipelines 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 Airflow 2026 - Orchestrating Scalable Data Pipelines 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 Airflow 2026 - Orchestrating Scalable Data Pipelines 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.

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.

FAQ

Frequently asked questions

How much does the Training Airflow 2026 - Orchestrating Scalable Data Pipelines training cost?+
The price is $3,675 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Airflow 2026 - Orchestrating Scalable Data Pipelines training?+
The training lasts 3 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?+
Advanced proficiency in Python, complex ETL processes, basic Airflow orchestration, Docker, and Kubernetes
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.
On-site & remote

This training across cities

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