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 essential Azure services for data engineering and massive data storage.
- Prepare for and pass the Microsoft DP-203 certification exam in 3 intensive days.
- Configure and implement data pipelines with Azure Data Factory and Synapse Analytics.
- Validate your professional skills in data modeling and transformation on Azure.
- Deploy secure and scalable solutions for real-time data analysis.
- Optimize data engineering workload performance through practical Azure labs.
- Obtain the Azure Data Engineer Associate certification to accelerate your professional development.
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 1Azure Data Storage and Modeling: Blob Storage, Data Lake Gen2, Cosmos DB (labs on creation and management)
Discover Azure storage solutions tailored for data engineering: configure Blob and Data Lake accounts to manage petabytes of data, implement secure hierarchies and controlled access. Through practical labs on the Azure console, explore modeling with Cosmos DB for scalable NoSQL data, applying real business cases for immediate mastery of ingested data flows.
Module 2Data Processing and Orchestration: Data Factory, Synapse Analytics, Databricks (pipeline and Spark exercises)
Dive into advanced orchestration with Azure Data Factory to create automated ETL/ELT pipelines, integrate Synapse for SQL and Spark analysis. Perform hands-on exercises on the Azure console, transforming real datasets via Databricks, and optimize flows for hybrid workloads. This pedagogical session strengthens your skills in data integration and streaming for production-ready solutions.
Module 3Intensive Preparation for the DP-203 Exam: Practice MCQs, Targeted Review, Success Strategies
Decisive day dedicated to certification: exhaustively review DP-203 exam domains via timed practice MCQs simulating real conditions, analyze errors with our experts. Master exam strategies (time management, common pitfalls), consolidate key labs on Azure Synapse and Data Factory. Leave the training ready to validate your Azure Data Engineer Associate certification.
Evaluation method
- Continuous evaluations through practical labs and exercises on the Azure console each day.
- Practice MCQs and exam simulations on day 3 to assess readiness for the DP-203 certification.
- Qualiopi training certificate and personalized feedback for progression.
Learning method
- Active pedagogy with 70% hands-on practice: real labs on dedicated Azure environments.
- Real-world business case studies to anchor data engineering skills.
- Interaction in small groups (max 10 participants) for tailored support.
Methods, materials and delivery
The Training Azure Data Engineer DP-203 - Obtain 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 Azure Data Engineer DP-203 - Obtain 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 Azure Data Engineer DP-203 - Obtain 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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