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Training Airflow 2026 - Orchestrating Large-Scale Data Pipelines

Ref: JUT743
10 people max.
From $4,620 HT / per person
On-site on request · +$540 with certification exam
4 days
Remote

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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 Airflow 2026 to orchestrate complex enterprise data workflows.
  • Develop scalable DAGs integrating professional ETL and advanced monitoring.
  • Configure integrations with Apache Spark and Kafka for robust pipelines.
  • Implement high-availability and secure deployments.
  • Optimize Airflow performance for processing massive big data volumes.
  • Acquire certifying skills in data orchestration to boost your career.
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, 65% of enterprise data pipelines fail according to Gartner, resulting in project delays of up to 3 months and financial losses estimated at 500k€ per major incident.

  • Novice data engineers risk obsolescence amid rising big data flow complexity, blocking promotions and 20% average raises.

  • Teams face critical downtimes that expose the company to sensitive data losses and GDPR fines up to 4% of revenue.

  • Invest now to secure your data operations and advance your career.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Airflow 2026: Advanced Fundamentals and Architecture (Dynamic DAGs, Optimized Scheduling)

Discover the evolutions of Airflow 2026 through practical exercises on cluster installation, creation of dynamic DAGs with TaskGroups, and intelligent scheduling with advanced crons. Explore custom operators, configure resource pools to avoid bottlenecks, and produce your first tested workflows in real-time on real datasets, all with a focus on professional best practices for rapid production deployment.

Module 2Airflow 2026: Complex DAGs and Error Management (Variables, XComs, Advanced Retries)

Dive into modeling multi-branch DAGs with conditional dependencies, integrate XComs to pass data between tasks, manage errors via sensors and intelligent retries, implement Jinja templates for reusability, test real failure scenarios on enterprise cases, and generate automated reports, strengthening your skills in developing reliable and maintainable pipelines for data-intensive environments.

Module 3Airflow 2026: ETL Integrations with Spark and Kafka (Connectors, Streaming Pipelines)

Integrate Airflow 2026 with Apache Spark for distributed batch jobs and Kafka for real-time streaming, configure dedicated hooks and operators like BashOperatorSpark and KafkaProducer, build end-to-end ETL pipelines on massive data, monitor flows with custom metrics, simulate production loads with practical exercises, and validate deliverables via unit tests, acquiring expertise in the modern Data Engineering ecosystem.

Module 4Airflow 2026: Deployment, Scaling, and Optimization (Kubernetes, Monitoring, Security)

Deploy Airflow 2026 on Kubernetes with Helm charts for horizontal scalability, secure access via Kerberos and RBAC, optimize performance with CeleryExecutor and Redis/PostgreSQL databases, implement advanced monitoring with Prometheus/Grafana, analyze logs for fine-tuning, and finalize a capstone project on a complete enterprise pipeline, delivering production-ready skills with high availability.

Evaluation method

  • Daily technical quizzes on Airflow 2026 concepts
  • Practical evaluation of DAGs developed in pairs
  • Final certifying project with presentation and code audit

Learning method

  • 80% hands-on pedagogy with real labs on dedicated clusters
  • Case studies from Fortune 500 companies using Airflow
  • Individualized support by certified Data Engineering trainers
  • Unlimited access to replays and resources for 6 months post-training

Methods, materials and delivery

The Training Airflow 2026 - Orchestrating Large-Scale 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 Large-Scale 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 Large-Scale 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 Large-Scale Data Pipelines training cost?+
The price is $4,620 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Airflow 2026 - Orchestrating Large-Scale Data Pipelines training?+
The training lasts 4 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 Python proficiency, experience with ETL or simple data pipelines, knowledge of SQL/NoSQL databases and Docker for deployments.
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

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