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 new features of MediatR 2026 to optimize skills in certified professional training
- Implement advanced handlers tailored to enterprise Artificial Intelligence pipelines
- Design decoupled CQRS architectures that boost AI application scalability
- Develop custom behaviors with MediatR for enhanced productivity
- Optimize ML data processing performance through professional mediation
- Integrate MediatR 2026 into real-world projects for AI skills certification
- Deploy robust solutions that promote agility in development teams
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 1MediatR 2026 Fundamentals: CQRS Architecture and AI Handlers (.NET Tools, ML Pipelines, Deliverable Diagrams)
Discover the evolutions of MediatR 2026 adapted to AI workflows, install the .NET environment with NuGet, configure mediators for decoupled requests/responses, perform practical exercises on handlers for prompt processing, analyze concrete Deep Learning integration cases, produce UML diagrams of your CQRS architectures, benefit from expert feedback to consolidate your professional skills remotely.
Module 2Advanced MediatR 2026: Behaviors and Custom Pipelines (Validators, AI Behaviors, Deliverable Unit Tests)
Dive into MediatR 2026 pipeline behaviors for logging and caching in AI contexts, implement FluentValidation validators for secure ML data, chain middleware for advanced prompt orchestration, develop real-world cases on decoupled microservices, test with xUnit and Moq for robustness, generate performance reports, apply certified best practices to boost enterprise efficiency.
Module 3Expert MediatR 2026: Deployment and AI Optimization (Docker, Azure, Production Deliverable Monitoring)
Master MediatR 2026 deployment in Docker containers for scalable AI apps, integrate with Azure Functions and Kubernetes, optimize performance using profiling tools, monitor with Application Insights for Deep Learning workflows, simulate real high-load scenarios, produce a final deliverable certifying project, receive a post-training action plan for enterprise implementation, consolidate all acquired skills.
Evaluation method
- Daily interactive quizzes on MediatR 2026 and AI concepts
- Final practical project: decoupled AI pipeline with MediatR
- Qualiopi certificate issued after skills evaluation
Learning method
- Hands-on method with 70% practice on real MediatR 2026 code
- Concrete case studies from leading AI companies
- Collaborative remote exercises via Zoom and GitHub
- Replay videos and unlimited post-training resources
Methods, materials and delivery
The Training MediatR 2026 - Orchestrating Decoupled AI Pipelines 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 MediatR 2026 - Orchestrating Decoupled AI Pipelines 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 MediatR 2026 - Orchestrating Decoupled AI Pipelines 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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