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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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The Training Domain-Driven Design (DDD) - Modeling Complex Domains 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 Domain-Driven Design (DDD) - Modeling Complex Domains 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 Domain-Driven Design (DDD) - Modeling Complex Domains 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.
Immersion in Event Storming workshops to identify bounded contexts on a real business case, collaborative modeling of ubiquitous language with the virtual team, precise definition of contextual boundaries via C4 diagrams, practical exercises refactoring an existing monolith into delimited contexts, production of an initial mapping deliverable ready to integrate into your professional architecture, directly enhancing business coherence.
In-depth design of aggregates to protect critical business rules, implementation of idempotent entities and value objects in Java/Spring or .NET, code review workshops on complex transactional scenarios, resolution of aggregate sizing dilemmas via concrete e-commerce or finance cases, generation of DDD boilerplate code with tools like ArchUnit, delivery of a tested and documented domain model to immediately boost your professional skills.
Exploration of Domain Events to decouple interconnected contexts, implementation of CQRS with separate commands/queries on the red thread project, hands-on Event Sourcing with Axon or EventStoreDB via live coding, management of sagas to orchestrate cross-context workflows, integration tests on real business flows like order management, creation of a deployable event-driven prototype demonstrating resilience and traceability benefits for your enterprise.
Development of complete context maps to align organization and DDD code, implementation of Anti-Corruption Layers to protect core domains from external influences, workshops on strategic evolution with core, supporting, and generic subdomains, refactoring legacy systems via patterns like Open Host, finalization of the red thread project with a team adoption roadmap, deliverables including diagrams and optimized source code to certify your production-ready DDD skills.
Target audience
Software architects, lead developers, and CTOs seeking to advance DDD skills in the enterprise
Prerequisites
Advanced experience in OOP, architectural patterns, and UML modeling
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