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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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Artificial Intelligence training in San Francisco in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
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Explore the future of asynchronous communication training for distributed teams. Discover strategies, tools, and trends shaping effective collaboration across time zones by May 2026.
Professional Training training in New York in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
The Training Azure Data Engineer DP-203 - Get Your Certification in 3 Days April 2026 training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Azure Data Engineer DP-203 - Get Your Certification in 3 Days April 2026 training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Azure Data Engineer DP-203 - Get Your Certification in 3 Days April 2026 training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into the basics of Azure data engineering with a complete immersion in storage services like Azure Data Lake Gen2 and Blob Storage to manage massive volumes of structured and unstructured data. Discover Azure Data Factory to orchestrate ETL/ELT ingestion pipelines through practical exercises on the Azure console. Interactive labs simulate real business cases: configure real-time data flows, integrate hybrid connectors, and optimize performance. Active pedagogy with live demos and collaborative troubleshooting to solidify your skills (7 intensive hours).
Deepen data processing with Azure Synapse Analytics for serverless and dedicated analysis, and Databricks for collaborative Spark notebooks. Implement complex transformations via Data Flows, SQL pools, and streaming with Event Hubs or Stream Analytics. Hands-on labs on Azure console replicate real scenarios: develop Spark jobs for machine learning, manage ACID Delta Lakes, and scale Big Data workloads. Immersive teaching style with business use cases (e-commerce, IoT), expert insights, and cost optimization for production-ready skills (7 hours).
Finalize with security and governance using Azure Purview, Key Vault, and RBAC to protect your data pipelines. Advanced monitoring with Azure Monitor, Log Analytics, and Sentinel to detect anomalies. Intensive DP-203 exam prep: 4 hours of timed practice QCMs (200+ questions), targeted review of Microsoft's 8 official domains, exam strategies (time management, common pitfalls). Final labs integrate everything: deploy a secure end-to-end project. Close with personalized coaching and post-training action plan for 100% certification success (7 hours).
Target audience
Ambitious IT professionals aiming for the DP-203 Azure Data Engineer certification: system administrators, cloud architects, data developers, cloud engineers, and DevOps. Ideal for those already managing data flows who want to boost their CV with a globally recognized Microsoft certification, accelerating promotions and career opportunities.
Prerequisites
Fundamental knowledge of Azure (AZ-900 certification recommended), experience with SQL Server or relational databases, basic programming skills (Python, Scala, or PySpark), and foundational data engineering concepts like ETL/ELT. No advanced Azure experience required, but familiarity with cloud concepts is a plus to maximize hands-on labs.
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