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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master AWS MWAA to deploy managed Apache Airflow environments in the enterprise
- Develop advanced and optimized DAGs for professional data workflows
- Configure AWS MWAA integration with S3, EMR, and Lambda for scalable pipelines
- Implement monitoring and securing of Airflow workflows
- Optimize performance and scaling of AWS MWAA in production contexts
- Design robust data architectures with Apache Airflow skills on AWS
Our social commitment
A school kit donated to a child for every training
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
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.
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 1AWS MWAA Fundamentals: Setting up a Managed Apache Airflow Environment (S3, IAM, VPC)
In-depth discovery of AWS MWAA via the AWS console, creation of a managed Airflow environment in a few clicks, configuration of S3 buckets for DAGs and logs, setup of secure IAM roles and VPC for network isolation, first tests of simple DAGs on real datasets, practical exercises to validate rapid deployment of a professional data workflow, production of a functional environment ready for enterprise use.
Module 2Advanced DAG Development for AWS MWAA: Complex Orchestration with AWS Operators (EMR, Glue, Lambda)
Design of multi-task DAGs integrating native AWS operators like BashOperator, EmrStepOperator, and LambdaInvoke, use of XCom to pass data between tasks, management of dynamic dependencies and errors with intelligent retries, hands-on workshops on a concrete e-commerce ETL pipeline case, performance optimization via parallelism and pooling, generation of tested and deployed DAGs directly in your MWAA environment for immediate skill-building.
Module 3AWS MWAA in Production: Monitoring, Scaling, and Securing Apache Airflow (CloudWatch, Secrets Backend)
Implementation of advanced monitoring with CloudWatch and customized Airflow UI, configuration of automatic scaling for data load peaks, securing via Fernet and AWS Secrets Manager for sensitive variables, management of CI/CD deployments with GitSync, simulations of real incidents for resilience drills, finalization of a scalable and monitored red thread project, delivery of ready-to-use blueprints to boost your professional skills in the enterprise.
Evaluation method
- Multiple-choice quiz to validate learning outcomes at the end of the training
- Continuous assessment through practical exercises on DAGs
- Presentation of the red thread AWS MWAA project to the trainer
Learning method
- Courses led by an active AWS-certified expert trainer
- Practical exercises on real enterprise data cases
- Progressive red thread project with Apache Airflow on MWAA
- Complete course materials and example DAGs provided to each participant
Methods, materials and delivery
The Training AWS MWAA - Orchestrating Data Workflows with Airflow on AWS 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 AWS MWAA - Orchestrating Data Workflows with Airflow on AWS 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 AWS MWAA - Orchestrating Data Workflows with Airflow on AWS 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.
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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FAQ
Frequently asked questions
How much does the Training AWS MWAA - Orchestrating Data Workflows with Airflow on AWS training cost?+
The individual price is $3,465 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training AWS MWAA - Orchestrating Data Workflows with Airflow on AWS training?+
The training lasts 3 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Knowledge of Python, AWS basics (S3, IAM, VPC), notions of Apache Airflow and DAGs
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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