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.
Learning objectives
- Master the new features of Apache Airflow 2026 for scalable enterprise data workflows.
- Develop expert DAGs integrating Kafka and Spark in professional certifying pipelines.
- Optimize Airflow performance to process terabytes of data in real time.
- Implement high-availability deployments with advanced monitoring and alerting.
- Design resilient data architectures, boosting Data Engineering skills.
- Integrate Airflow into cloud ecosystems for Qualiopi-certified professional training.
The Learni story
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
Don't let this gap widen
Why this program matters
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1Advanced Fundamentals of Apache Airflow 2026: Dynamic DAGs and Extended Providers (Scaling Exercises)
Dive into the core updates of Apache Airflow 2026, configure dynamic DAGs with advanced TaskGroups and native providers for Kafka, migrate legacy workflows to new APIs, perform practical exercises on a local cluster with Docker Compose, test parallel ETL task execution, generate automated performance reports, and validate deliverables such as a scalable DAG ready for enterprise production.
Module 2Expert Integrations in Apache Airflow 2026: Spark and Kafka Pipelines (Real ETL Cases)
Integrate Apache Spark via the official provider in Airflow 2026, orchestrate Kafka streams with advanced streaming connectors, develop hybrid ETL pipelines processing real-time events, simulate data lake scenarios with hands-on exercises on massive datasets, debug task failures with extended XComs, optimize sensors for intelligent triggers, and produce a functional deliverable: a complete Spark-Kafka-Airflow pipeline deployed.
Module 3Optimization and Scaling in Apache Airflow 2026: CeleryExecutor and Monitoring (Performance Benchmarks)
Advance to expert level with CeleryExecutor and KubernetesExecutor in Airflow 2026, scale deployments to 100+ workers, implement professional monitoring with integrated Prometheus and Grafana, analyze bottlenecks using the new DAG Profiler, conduct benchmarks on extreme loads with tools like Locust, configure multi-node high availability, manage advanced retries and massive backfills, resulting in a deliverable: a tested and documented scalable architecture for enterprise environments.
Module 4Production Deployment of Apache Airflow 2026: Security, CI/CD, and Best Practices (Certifying Project)
Deploy to production with Airflow 2026 Helm charts on Kubernetes, secure with RBAC and secrets managers, automate CI/CD with GitHub Actions and self-deploying Airflow DAGs, integrate unit tests for custom operators, manage zero-downtime upgrades, apply best practices for optimized cloud costs, finalize a capstone project simulating a real enterprise data pipeline, and obtain a Qualiopi certificate validating expert skills in data orchestration.
Evaluation method
- Daily technical quizzes on Airflow 2026 features (80% success required).
- Practical projects evaluated by experts (DAGs deployed live).
- Final Qualiopi certifying exam with real enterprise cases.
Learning method
- 70% hands-on practice with real clusters and massive datasets.
- 30% theory focused on 2026 updates and professional best practices.
- Case studies from Fortune 500 companies using Airflow.
- 3-month post-training support for production implementation.
Methods, materials and delivery
The Training Apache Airflow 2026 - Orchestrating Ultra-High-Performance Data Pipelines program is delivered onsite or remote (blended-learning, e-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 2026 - Orchestrating Ultra-High-Performance 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 2026 - Orchestrating Ultra-High-Performance 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
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
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.
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.
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.
Data Engineering
More programs in Data Engineering.
Data EngineeringIndustry-certifiedAdvanced Airflow Training - Master Complex Data Pipelines
$3,780Net · employer-funded
Data EngineeringIndustry-certifiedAdvanced Snowflake Training - Optimize Cloud Data Warehouses Effectively
$5,040Net · employer-funded
Data EngineeringIndustry-certifiedAdvanced Snowflake Training - Optimize Performance and Cloud Costs
$3,780Net · employer-funded
Data EngineeringIndustry-certifiedAdvanced dbt Training - Optimize Data Pipelines and Automated Tests
$5,040Net · employer-funded
Data EngineeringIndustry-certifiedChange Data Capture CDC Training - Professional Real-Time Data Synchronization
$7,350Net · employer-funded
Data EngineeringIndustry-certifiedDatabricks Training - Mastering the Lakehouse for Data Pros
$5,250Net · employer-funded
Développement Web
More programs in Développement Web.
Développement WebIndustry-certifiedAPNs Training - Expert Scaling iOS Push Notifications
$2,640Net · employer-funded
Développement WebIndustry-certifiedASP.NET Core : Maîtriser le Développement Web Moderne
$6,600Net · employer-funded
Développement WebIndustry-certifiedATDD : Maîtriser l’Acceptance Test Driven Development en équipes agiles
$3,960Net · employer-funded
Développement WebIndustry-certifiedAWS IoT Core : Maîtrisez la gestion intelligente des objets connectés
$3,960Net · employer-funded
Développement WebIndustry-certifiedAWS Security Hub : Maîtriser la sécurité cloud avec AWS
$2,640Net · employer-funded
Développement WebIndustry-certifiedAccélérer vos modèles d’Intelligence Artificielle avec OpenVINO : de l’optimisation à la mise en production
$3,960Net · employer-funded
Big Data
More programs in Big Data.
Big DataIndustry-certifiedAdvanced Apache Spark Training - Optimize Real-Time Big Data
$5,040Net · employer-funded
Big DataIndustry-certifiedAdvanced Apache Spark Training - Optimize Your Big Data Jobs
$6,300Net · employer-funded
Big DataIndustry-certifiedAdvanced Databricks Training - Accelerate Data Pipelines x3
$1,260Net · employer-funded
Big DataIndustry-certifiedAdvanced Databricks Training - Deploy Scalable Data ML Pipelines
$2,520Net · employer-funded
Big DataIndustry-certifiedAdvanced Elasticsearch Training - Optimize Performance and Scaling
$1,260Net · employer-funded
Big DataIndustry-certifiedAdvanced Kafka Training - Master Massive Real-Time Streams
$6,300Net · employer-funded
Cloud Computing
More programs in Cloud Computing.
Cloud ComputingIndustry-certifiedAWS Auto Scaling : Maîtriser la gestion dynamique des ressources Cloud
$3,960Net · employer-funded
Cloud ComputingIndustry-certifiedAWS CDK : Maîtriser le Déploiement d’Infrastructure as Code sur le Cloud AWS
$3,960Net · employer-funded
Cloud ComputingIndustry-certifiedAWS CLI : Maîtrisez l’Interface en Ligne de Commande Amazon Web Services
$3,960Net · employer-funded
Cloud ComputingIndustry-certifiedAWS CLI Training - Automating Advanced Cloud Tasks
$2,640Net · employer-funded
Cloud ComputingIndustry-certifiedAWS CloudFormation : Maîtriser l’Infrastructure as Code pour Accélérer le Déploiement Cloud
$3,960Net · employer-funded
Cloud ComputingIndustry-certifiedAWS Data Pipeline : Maîtriser l’Automatisation et l’Orchestration des Données
$3,960Net · employer-funded
Your professional training, anywhere
Let's build
your next
program.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
Reply within 24 h · Industry-certified · Corporate funding