Training Airflow - Orchestrating Complex Data Pipelines

Very demanding course · Expertise required

$7,875

  • 5 days
  • Onsite
  • 10 people max.
Ref: WXV675
10 people max.
$7,875
In-company rate: from $14,175 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty level
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Without expert Airflow mastery, 45% of data pipelines fail in production according to Gartner, generating analytical delays of 2-4 weeks and hidden costs estimated at 150k€ annually per team.

  • Companies lose 30% data efficiency, impacting business decisions and market competitiveness.

  • Careers stagnate: data engineers without advanced orchestration risk obsolescence amid the rise of Kafka-Spark.

  • Invest in this training to secure your workflows, boost performance and accelerate promotions.

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

41,181 programs · 25 countries

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

Every program built with a dedicated engineer

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  • AMD
  • Apple

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

Airflow training objectives

  • Master Airflow's distributed architecture to scale professional enterprise data pipelines
  • Develop complex DAGs with custom operators, sensors, and advanced XComs for certifiable skills
  • Integrate Airflow with Kafka, Spark, and Kubernetes to orchestrate robust ETL processes
  • Optimize Airflow performance, monitoring, and alerting in critical environments
  • Implement CI/CD, backfill, and retry strategies for reliable data workflows
  • Design high-availability architectures tailored to enterprise needs
  • Deploy Airflow in production with advanced security and data governance

Program

Airflow curriculum: 5 modules over 5 days

Module 1 : Advanced Airflow Architecture: Distributed Scaling and High Availability (Celery, Kubernetes)

Dive into Airflow deployment on Kubernetes with CeleryExecutor, configure scalable workers and redundant schedulers, perform practical exercises on multi-node clustering, test fault tolerance via crash simulations, produce a deliverable architecture diagram with performance metrics, integrate initial Kafka hooks for real enterprise data pipelines.

Module 2 : Complex Airflow DAGs: Custom Operators, Sensors, and Advanced Patterns (Optimized ETL)

Design dynamic DAGs with TaskGroups and SubDAGs, implement custom Python operators for specific data transformations, deploy advanced sensors for external dependencies, chain exercises on conditional branching and intelligent retries, generate reusable templates for professional ETL pipelines, analyze real enterprise cases with secure XComs and extended logging.

Module 3 : Airflow Integrations: Kafka, Spark, and Data Engineering Tools (Hybrid Pipelines)

Couple Airflow with Kafka for real-time data streaming via KafkaProducerHook, orchestrate Spark jobs with SparkSubmitOperator in cluster mode, configure secure and idempotent connections, practice labs on end-to-end ETL pipelines with data lakes, test Kafka-Spark failure resilience, produce a complete deliverable workflow integrating Airflow as the central enterprise orchestrator.

Module 4 : Airflow Monitoring and Optimization: Performance and Alerting (Production Metrics)

Install Prometheus and Grafana for custom Airflow dashboards, optimize slot pools and parallelism for load peaks, implement Slack/PagerDuty alerts on SLAs, analyze bottlenecks via Flower and advanced logs, perform benchmarks on massive datasets with Spark, generate deliverable optimization reports, apply best practices for reduced cloud costs in professional data pipelines.

Module 5 : Production Airflow Deployment: CI/CD, Security, and Governance (Expert Best Practices)

Automate CI/CD with GitHub Actions and Kubernetes Helm charts, secure DAGs with RBAC and secrets backend, manage massive backfills and pool quotas, deploy via Helm on EKS/GKE, test DR scenarios with blueprints, finalize a capstone project on a complete Kafka-Spark-Airflow ETL pipeline, obtain code audit and certifying governance plan for critical enterprise environments.

How Airflow skills are assessed

  • Advanced technical MCQ on architecture and integrations (80% pass threshold)
  • Capstone project: complete Kafka-Spark-Airflow ETL pipeline deployment
  • Peer code review and oral defense of technical choices

How the Airflow course is taught

  • 70% hands-on: real labs on Kubernetes clusters with production-like datasets
  • Enterprise case studies: pipeline failures analyzed and resolved
  • Individual mentoring: real-time feedback on custom DAG code
  • Post-training support: 3 months Slack access and resource updates

Airflow training: access and practical arrangements

The Training Airflow - Orchestrating Complex 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 - Orchestrating Complex 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 - Orchestrating Complex 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 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

Airflow: frequently asked questions

Which tools are used in Airflow training?+
Hands-on work runs on celery, kubernetes, optimized ETL, hybrid Pipelines, production Metrics and expert Best Practices. Those tools come from the Airflow program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after Airflow training?+
They can master Airflow's distributed architecture to scale professional enterprise data pipelines, develop complex DAGs with custom operators, sensors, and advanced XComs for certifiable skills and integrate Airflow with Kafka, Spark, and Kubernetes to orchestrate robust ETL processes. Those are the stated objectives of the Airflow program at Expert level, checked by the end-of-session assessment.
What does the Airflow program cover, day by day?+
Day 1: Advanced Airflow Architecture: Distributed Scaling and High Availability (Celery, Kubernetes). Day 2: Complex Airflow DAGs: Custom Operators, Sensors, and Advanced Patterns (Optimized ETL). Day 3: Airflow Integrations: Kafka, Spark, and Data Engineering Tools (Hybrid Pipelines). Day 4: Airflow Monitoring and Optimization: Performance and Alerting (Production Metrics). Day 5: Production Airflow Deployment: CI/CD, Security, and Governance (Expert Best Practices). The Airflow program runs over 5 days, delivered on site.
How is Airflow training assessed?+
Assessment relies on advanced technical MCQ on architecture and integrations (80% pass threshold), capstone project: complete Kafka-Spark-Airflow ETL pipeline deployment and peer code review and oral defense of technical choices. Learni issues a completion certificate together with the individual assessment report at the end of the Airflow program, which an L&D team can file as evidence.
How much does Airflow training cost per participant?+
Airflow training costs $7,875 per participant. For an in-company team, the flat rate starts at $14,175 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 Airflow training take?+
5 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 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 Airflow training?+
Advanced Python proficiency, intermediate Airflow experience, operational Docker and Kubernetes, production Spark and Kafka, expert SQL, AWS or GCP cloud fundamentals.
Is a certificate issued after 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 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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