Training Apache Airflow - Automate Professional Data Pipelines

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: NHO791
10 people max.
$4,620
In-company rate: from $7,865 for the whole team
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Without Apache Airflow, data teams lose an average of 50% of their time on repetitive manual pipelines, tripling human errors according to Gartner.

  • This costs up to 200k€ annually in project delays for an SME, with 40% of data incidents tied to faulty orchestration.

  • In 2026, 65% of data recruiters reject candidates without skills in tools like Airflow, blocking promotions and career switches.

  • Every quarter without training widens the competitive gap, exposing the company to massive revenue losses.

Alicia DIOH, Managing Director · Finance, AI & Management trainer
Alicia DIOH

Managing Director · Finance, AI & Management trainer

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

41,119 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

Every program built with a dedicated engineer

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

Apache Airflow training objectives

  • Master the fundamentals of Apache Airflow for professional pipelines
  • Develop efficient DAGs in a professional enterprise context
  • Configure tasks and operators to automate data flows
  • Implement scheduling and monitoring of scalable workflows
  • Optimize Airflow pipelines for sustainable data skills
  • Deploy a secure Airflow solution in production

Program

Apache Airflow curriculum: 4 modules over 4 days

Module 1 : Apache Airflow Fundamentals: Installation and First DAGs (Environment, UI, Key Concepts)

Quick installation of Apache Airflow via Docker or pip in a professional local environment, discovery of the intuitive web interface to visualize workflows, creation of your first simple DAG with PythonOperator and BashOperator tasks, practical exercises on basic enterprise ETL cases, testing task dependencies to streamline data pipelines, generation of logs and first concrete execution feedback.

Module 2 : Apache Airflow Operators: Building Advanced Tasks (Sensors, Hooks, Data Transfers)

In-depth exploration of popular operators like PostgresOperator and S3Hook to connect databases and clouds, development of complex DAGs with conditional branching and dynamic loops, hands-on practice on real extraction-transformation-load scenarios, use of XCom to efficiently pass data between tasks, interactive real-time debugging with the trainer, production of testable deliverables ready for the enterprise.

Module 3 : Apache Airflow Scheduling: Plan and Monitor Workflows (Cron, Pools, Alerting)

Configuration of cron-like schedules and temporal dependencies for reliable automated executions, management of pools and quotas to scale in a professional team, advanced monitoring via the UI with integrated Grafana metrics, setup of Slack or email alerts on critical task failures, exercises on retry policies and backfills to correct data histories, analysis of real performance on your enterprise red thread project.

Module 4 : Apache Airflow Deployment: Best Practices and Production (Docker, Celery, Security)

Deployment in a cluster with CeleryExecutor and Redis for high availability in the enterprise, full containerization via Docker Compose and Kubernetes basics, securing connections with secrets backend and RBAC, performance optimization for large data volumes, collaborative code review on produced DAGs, preparation for Qualiopi certification with a portfolio of deployable pipelines, focus on maintenance and future Airflow evolutions.

How Apache Airflow skills are assessed

  • Multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous assessment through practical exercises on DAGs
  • Presentation of the Airflow red thread project to the trainer

How the Apache Airflow course is taught

  • Sessions led by an expert trainer active in the data field
  • Practical exercises on real enterprise data pipeline cases
  • Progressive red thread project throughout the training
  • Complete course materials provided to each participant

Apache Airflow training: access and practical arrangements

The Training Apache Airflow - Automate Professional 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 Apache Airflow - Automate Professional 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 Apache Airflow - Automate Professional 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.

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

How Learni guarantees the quality of your Apache Airflow training

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

Apache Airflow: frequently asked questions

Which tools are used in Apache Airflow training?+
Hands-on work runs on environment, UI, key Concepts, sensors, hooks and data Transfers. Those tools come from the Apache Airflow program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Apache Airflow training?+
They can master the fundamentals of Apache Airflow for professional pipelines, develop efficient DAGs in a professional enterprise context and configure tasks and operators to automate data flows. Those are the stated objectives of the Apache Airflow program at Intermediate level, checked by the end-of-session assessment.
What does the Apache Airflow program cover, day by day?+
Day 1: Apache Airflow Fundamentals: Installation and First DAGs (Environment, UI, Key Concepts). Day 2: Apache Airflow Operators: Building Advanced Tasks (Sensors, Hooks, Data Transfers). Day 3: Apache Airflow Scheduling: Plan and Monitor Workflows (Cron, Pools, Alerting). Day 4: Apache Airflow Deployment: Best Practices and Production (Docker, Celery, Security). The Apache Airflow program runs over 4 days, delivered on site.
How is Apache Airflow training assessed?+
Assessment relies on multiple-choice quiz to validate learning outcomes at the end of the training, continuous assessment through practical exercises on DAGs and presentation of the Airflow red thread project to the trainer. Learni issues a completion certificate together with the individual assessment report at the end of the Apache Airflow program, which an L&D team can file as evidence.
How much does Apache Airflow training cost per participant?+
Apache Airflow training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 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 Airflow training take?+
4 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 Airflow 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 Airflow training?+
Basic Python knowledge, notions of ETL or simple data workflows.
Is a certificate issued after Apache Airflow 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.
Does Learni provide the equipment for Apache Airflow training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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