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 advanced DAGs in Airflow 2026 to orchestrate scalable professional workflows
- Develop ETL pipelines integrating Spark and Kafka in a certifying training
- Optimize Airflow task performance for critical enterprise skills
- Implement secure and monitored deployments in production environments
- Design resilient data architectures with Airflow 2026 and associated tools
- Acquire practical skills to boost data team efficiency in enterprise settings
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 1Airflow 2026 Fundamentals: New Features and Advanced DAGs (Tools, Modeling, Unit Tests)
Discover the major evolutions of Airflow 2026 with a focus on dynamic DAGs and custom operators, practicing the creation of complex workflows through hands-on exercises on our remote platform. Integrate unit tests and automated validations for robust pipelines, analyze real enterprise ETL cases, and produce a first optimized Spark-ready DAG as a deliverable, all in 7 hours of interactive and mentored learning.
Module 2ETL & Airflow 2026 Pipelines: Spark Integration and Scaling (Connectors, Batch Processing, Optimization)
Dive into advanced ETL orchestration with Airflow 2026 connected to Apache Spark, developing massive batch processing pipelines through practical exercises on large datasets. Configure parallel tasks, manage inter-DAG dependencies, optimize cluster resources, and test failure recovery scenarios, producing a complete and scalable ETL pipeline as a deliverable, tailored to professional data engineering needs.
Module 3Kafka & Airflow 2026: Streaming and Hybrid Scheduling (Sensors, Stream Tasks, Monitoring)
Master Kafka integration in Airflow 2026 for real-time streaming flows, implementing advanced sensors and Kafka operator tasks during practical workshops. Develop hybrid batch/streaming schedules, monitor with custom metrics, manage offsets and automated reconnections, and analyze enterprise use cases such as data anomaly detection, resulting in a deliverable performant streaming workflow.
Module 4Airflow 2026 Deployment & Production: Security, CI/CD, and Best Practices (Helm, Airflow Cloud, Audits)
Finalize with the production deployment of Airflow 2026 via Kubernetes and Helm charts, practicing GitOps CI/CD pipelines and secure RBAC configurations. Audit real environments, implement advanced monitoring with Prometheus, resolve scalability bottlenecks, and produce a complete ETL-Spark-Kafka capstone project as a certifying deliverable, ready for immediate enterprise integration.
Evaluation method
- Daily interactive quizzes on Airflow 2026 features
- Final ETL pipelines project with Spark and Kafka
- Qualiopi certifying attestation validating advanced skills
Learning method
- Hands-on exercises 70% of the time on a dedicated platform
- Real-world case studies from data-driven companies
- Individual remote mentoring for personalized feedback
- Post-training resources: videos, source code, community
Methods, materials and delivery
The Training Airflow 2026 - Orchestrating Complex 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 Airflow 2026 - 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 2026 - 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
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.
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