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 essential AWS services for data engineering such as S3, Glue, and Kinesis.
- Effectively prepare for the DEA-C01 certification exam with practice multiple-choice questions and targeted strategies.
- Configure scalable and secure data pipelines on AWS.
- Implement real-time data ingestion, transformation, and storage solutions.
- Optimize performance and costs of data engineering workloads on AWS.
- Validate your professional skills through intensive practical labs.
- Earn the AWS Data Engineer Associate certification to accelerate your career progression.
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 1AWS Data Engineer Fundamentals: S3, Glue, and Data Ingestion (tools, services, console labs)
Discover the basics of AWS data engineering with a focus on Amazon S3 for scalable storage, AWS Glue for serverless ETL, and ingestion tools. Participate in practical labs on the AWS console to create secure buckets, crawl data, and orchestrate ETL jobs. Explore real-world enterprise cases handling petabytes of data, learning to manage security and compliance from day one.
Module 2Advanced AWS Pipelines: Kinesis, EMR, and Lakehouse (streaming services, batch, hands-on labs)
Dive into advanced data pipelines with Amazon Kinesis for real-time streaming, EMR for Hadoop/Spark batch processing, and Redshift Spectrum for data lakes. Perform practical exercises on the console to implement hybrid data flows, transform massive datasets, and integrate Lake Formation. Analyze concrete industry scenarios like finance and retail, optimizing scalability and resilience.
Module 3Intensive DEA-C01 Exam Preparation: Practice Questions, Review, and Strategies (simulations, certification tips)
Dedicated to passing the DEA-C01 exam, this day offers intensive preparation with timed practice multiple-choice questions, targeted review of domains (ingestion 20%, transformation 30%, etc.), and proven exam strategies (time management, common pitfalls). Complete final labs on real AWS cases, review optimal architectures, and receive personalized coaching to validate your skills and obtain the AWS Data Engineer Associate certification.
Evaluation method
- Continuous assessment via practical labs and exercises on the AWS console.
- Practice multiple-choice questions and DEA-C01 exam simulations throughout the training.
- Final quiz and personalized feedback to measure mastery of objectives.
Learning method
- Active pedagogy with 70% hands-on practice on the AWS console in real time.
- Individualized hands-on labs and case studies based on real projects.
- Interventions by AWS certified experts for optimal knowledge transfer.
Methods, materials and delivery
The Training AWS Data Engineer Associate DEA-C01 - Earn Your Certification in 3 Days April 2026 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 AWS Data Engineer Associate DEA-C01 - Earn Your Certification in 3 Days April 2026 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 Data Engineer Associate DEA-C01 - Earn Your Certification in 3 Days April 2026 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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