Training: Master Apache Airflow - Professional ETL Workflow Orchestration

$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: PHA114
8 people max.
$3,465
In-company rate: from $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of Apache Airflow, your ETL workflows turn chaotic, multiplying manual errors and critical delays.

  • Companies lose an average of 25% in data productivity, with ETL incident costs exceeding 75 000 € per year according to industry studies.

  • 65% of data project failures stem from faulty orchestration, exposing the company to massive competitive losses and stalling your data engineer career.

  • Every month without advanced skills, the risk of obsolescence explodes.

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

41,118 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

  • Understand the fundamental concepts of Apache Airflow
  • Install, configure, and secure a production Airflow environment
  • Model and automate advanced data workflows
  • Supervise, monitor, and debug DAGs (Directed Acyclic Graphs)
  • Implement dependency management and advanced scheduling strategies

Program

Apache Airflow curriculum: 3 modules over 3 days

Module 1 : Fundamentals and Getting Started with Airflow

History and positioning of Airflow in the data ecosystem, architecture, ETL workflow, step-by-step installation, DAG structure, starting the scheduler and webserver, first steps with the user interface.

Module 2 : Creating, Automating, and Debugging Complex Workflows

Writing DAGs in Python, standard operators (Bash, Python, Email, etc.), hooks & sensors, dependency management, scheduling (cron/expression), passing variables, error handling, logs, effective debugging practices.

Module 3 : Industrialization, Supervision, and Security of Airflow Pipelines

Production deployment, connection to databases and cloud (GCP, AWS, Azure), monitoring, alerting, access management (RBAC), scaling strategies, persistence management (databases, XCom/Logs), best practices, advanced scenarios (dynamic DAGs, subDAGs, source code management with Git). Final case study and enterprise pipeline design workshop.

How Apache Airflow skills are assessed

  • Final multiple-choice quiz
  • Practical case study with group presentation
  • Continuous feedback during workshops

How the Apache Airflow course is taught

  • Alternation of lectures and practical workshops
  • Implementation of real-world professional cases
  • Detailed course materials and source code provided to each participant

Apache Airflow training: access and practical arrangements

The Training: Master Apache Airflow - Professional ETL Workflow Orchestration 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: Master Apache Airflow - Professional ETL Workflow Orchestration 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: Master Apache Airflow - Professional ETL Workflow Orchestration 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

What can participants do after Training: Master Apache Airflow training?+
They can understand the fundamental concepts of Apache Airflow, install, configure, and secure a production Airflow environment and model and automate advanced data workflows. Those are the stated objectives of the Training: Master Apache Airflow program at Intermediate level, checked by the end-of-session assessment.
What does the Training: Master Apache Airflow program cover, day by day?+
Day 1: Fundamentals and Getting Started with Airflow. Day 2: Creating, Automating, and Debugging Complex Workflows. Day 3: Industrialization, Supervision, and Security of Airflow Pipelines. The Training: Master Apache Airflow program runs over 3 days, delivered on site.
How is Training: Master Apache Airflow training assessed?+
Assessment relies on final multiple-choice quiz, practical case study with group presentation and continuous feedback during workshops. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Master Apache Airflow program, which an L&D team can file as evidence.
How much does Training: Master Apache Airflow training cost per participant?+
Training: Master Apache Airflow training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 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 Training: Master Apache Airflow training take?+
3 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 Training: Master 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 Training: Master Apache Airflow training?+
Good knowledge of Python programming and basics of ETL processes.
Is a certificate issued after Training: Master 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 Training: Master 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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