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 Azure services for data engineering such as Data Factory, Synapse Analytics, and Databricks.
- Prepare for and pass the DP-203 certification exam in 3 intensive days.
- Configure and implement scalable data pipelines on Azure.
- Validate the professional skills required for the Azure Data Engineer role.
- Optimize data workload performance with advanced Azure tools.
- Deploy secure data lake solutions compliant with best practices.
- Develop strategies for the DP-203 exam including multiple-choice questions and practical cases.
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 Engineer Fundamentals: Data Ingestion and Pipelines (Data Factory, Synapse, Practical Labs)
Discover the basics of data engineering on Azure with immersion in Azure Data Factory to orchestrate ETL flows, Synapse Analytics for unified analysis, and initial Databricks integrations. Practical labs on Azure console to ingest data from various sources, transform via Spark, and store in data lake. Real business cases to anchor skills in 7 intensive hours, with guided exercises and personalized feedback.
Module 2Azure Modeling and Security: Data Lakes, Streaming, and Governance (Delta Lake, Purview, Advanced Labs)
Dive into data modeling with Delta Lake for reliable ACID tables, real-time streaming via Event Hubs and Kafka on Azure, and governance with Purview. Implement secure solutions including RBAC and encryption. Hands-on labs on real scenarios like data warehouse migration, cost optimization, and monitoring with Azure Monitor. Deepen professional skills in 7 hours for production-ready deployments.
Module 3Intensive DP-203 Exam Preparation: Mock QCMs, Review, and Strategies (Full Simulations)
Decisive day dedicated to certification: exhaustive review of DP-203 domains (design, implementation, optimization), timed mock QCMs identical to the official exam, error analysis, and success strategies. Practical case simulations on Azure console, focus on common pitfalls and tips to score 700+. Individual coaching to consolidate knowledge in 7 hours, with post-training resources handover to validate your Azure Data Engineer certification.
Evaluation method
- Daily quizzes and practical labs evaluated by expert trainers.
- DP-203 mock exam on day 3 with detailed scoring.
- Self-assessment of skills via Azure project portfolio.
Learning method
- Active pedagogy with 70% hands-on practice on Azure console in real-time.
- Hands-on labs on dedicated environments, real business case studies.
- Personalized coaching in small groups (max 10 participants).
Methods, materials and delivery
The Training Azure Data Engineer DP-203 - Obtain Your Certification 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 Azure Data Engineer DP-203 - Obtain Your Certification 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 Azure Data Engineer DP-203 - Obtain Your Certification 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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