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 Glue, EMR, and Kinesis.
- Effectively prepare for the DEA-C01 certification exam with proven strategies.
- Configure and optimize scalable data pipelines on AWS.
- Validate your professional skills through the AWS Data Engineer Associate certification.
- Implement data ingestion, transformation, and secure storage solutions.
- Deploy data engineering architectures in real-world conditions through practical labs.
- Optimize costs and performance of data workloads on AWS cloud.
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 Engineering Fundamentals: Core Services (Glue, EMR, S3, Practical Labs)
Discover the pillars of data engineering on AWS with an immersion in AWS Glue for ETL, EMR for Spark/Hadoop, and S3 for scalable storage. Through practical labs on the AWS console, configure your first data pipelines, manage data catalogs, and integrate heterogeneous sources. Real-world cases from leading companies illustrate rapid and secure implementation, allowing you to acquire operational skills in just 7 intensive hours.
Module 2Advanced Ingestion and Transformation: Kinesis, Lambda, Redshift (Console Exercises, Real Cases)
Dive into real-time ingestion with Kinesis and Amazon MSK, serverless transformation via Lambda, and data warehousing with Redshift. Perform hands-on exercises on the AWS console to stream data, orchestrate Glue jobs, and optimize SQL queries. Explore hybrid architectures and data lake patterns, inspired by major client deployments, to master scalability and resilience in 7 hours of intensive and guided practice.
Module 3Intensive DEA-C01 Exam Preparation: Mock Quizzes, Review, Strategies (Full Simulations)
Dedicate this day to targeted preparation for the DEA-C01 exam with over 200 mock multiple-choice questions calibrated to the official AWS format, a comprehensive review of domains (ingestion 20%, transformation 30%, etc.), and infallible exam strategies (time management, common pitfalls). Simulate the full exam in real conditions, analyze your errors with personalized feedback, and consolidate your knowledge through final end-to-end pipeline labs, for guaranteed success.
Evaluation method
- Continuous evaluation through practical labs and daily quizzes
- Mock multiple-choice quizzes simulating the DEA-C01 exam
- Final project: design and deployment of a complete data pipeline
- Personalized feedback from our AWS certified experts
Learning method
- 70/20/10 method: 70% practical labs on AWS console, 20% real cases, 10% theory
- Individualized pedagogical support in small groups (max 10 participants)
- Unlimited access to an AWS Sandbox environment for 30 days post-training
- Digital resources: slides, recap videos, question bank
Methods, materials and delivery
The Training AWS Data Engineer Associate DEA-C01 - Get Your Cert in 3 Days May 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 - Get Your Cert in 3 Days May 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 - Get Your Cert in 3 Days May 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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