Training Mastering Apache Airflow for Data Workflow Orchestration

$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: BCJ841
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 data workflows become chaotic and manual, generating recurring delays and errors.

  • Data engineers lose on average 25 to 40% of their time on manual maintenance, or more than 50 000 € annually per team in wasted productivity.

  • 70% of critical data incidents stem from failing orchestration, exposing the company to massive financial losses and lost competitiveness.

  • Every month without solid Airflow skills compromises strategic projects, threatens data architects' careers, and slows business growth.

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

41,182 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 functioning and architecture of Apache Airflow
  • Set up DAGs to orchestrate complex data workflows
  • Deploy, monitor, and maintain an Apache Airflow environment in production
  • Manage dependencies, scheduling, and error recovery in Airflow
  • Integrate Airflow with a data ecosystem (databases, APIs, Big Data, cloud, containers)

Program

Apache Airflow curriculum: 3 modules over 3 days

Module 1 : Introduction to Apache Airflow and Getting Started

Presentation of data workflow orchestration, origins and key concepts of Airflow, architecture (Scheduler, Workers, Executor, PostgreSQL, WebUI), local installation via Docker or pip, getting started with the graphical interface, first DAGs and simple tasks, basic operators, connection management, configuration of variables and secrets.

Module 2 : Creating Advanced Workflows and Managing Dependencies

Writing dynamic DAGs in Python, advanced operators (BashOperator, PythonOperator, EmailOperator, etc.), task dependency management, scheduling, retry policies, parallelism control, Sensors and custom operators, manual triggering vs periodic scheduling, hooks and interfacing with external systems (SQL databases, cloud, API, S3), management of templates and macros.

Module 3 : Deployment, Monitoring, and Production Best Practices

Deploying Airflow on servers, Docker, or Kubernetes, production configuration, security management, large-scale scheduling, monitoring and alerts (logs, emails, SLAs, monitoring), error management and automatic recovery, DAG maintenance, update management, pipeline optimization, presentation of real-world use cases, integration with Cloud solutions (GCP, AWS, Azure), log auditing, and best practices for reliability and scalability.

How Apache Airflow skills are assessed

  • Continuous case study over three days to build, test, and deploy a complete data pipeline
  • Interactive quizzes at the end of each module
  • Correction of practical exercises with personalized feedback

How the Apache Airflow course is taught

  • Alternating presentations, technical demonstrations, and practical workshops
  • Setting up a sandbox environment for free experimentation
  • Detailed documentation and provided notebooks
  • Access to reusable scripts and post-training materials

Apache Airflow training: access and practical arrangements

The Training Mastering Apache Airflow for Data 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 Mastering Apache Airflow for Data 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 Mastering Apache Airflow for Data 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 Mastering Apache Airflow for Data Workflow Orchestration training?+
They can understand the functioning and architecture of Apache Airflow, set up DAGs to orchestrate complex data workflows and deploy, monitor, and maintain an Apache Airflow environment in production. Those are the stated objectives of the Mastering Apache Airflow for Data Workflow Orchestration program at Intermediate level, checked by the end-of-session assessment.
What does the Mastering Apache Airflow for Data Workflow Orchestration program cover, day by day?+
Day 1: Introduction to Apache Airflow and Getting Started. Day 2: Creating Advanced Workflows and Managing Dependencies. Day 3: Deployment, Monitoring, and Production Best Practices. The Mastering Apache Airflow for Data Workflow Orchestration program runs over 3 days, delivered on site.
How is Mastering Apache Airflow for Data Workflow Orchestration training assessed?+
Assessment relies on continuous case study over three days to build, test, and deploy a complete data pipeline, interactive quizzes at the end of each module and correction of practical exercises with personalized feedback. Learni issues a completion certificate together with the individual assessment report at the end of the Mastering Apache Airflow for Data Workflow Orchestration program, which an L&D team can file as evidence.
How much does Mastering Apache Airflow for Data Workflow Orchestration training cost per participant?+
Mastering Apache Airflow for Data Workflow Orchestration 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 Mastering Apache Airflow for Data Workflow Orchestration 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 Mastering Apache Airflow for Data Workflow Orchestration 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 Mastering Apache Airflow for Data Workflow Orchestration training?+
Basic knowledge of Python and fundamental concepts in data management.
Is a certificate issued after Mastering Apache Airflow for Data Workflow Orchestration 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 Mastering Apache Airflow for Data Workflow Orchestration 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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