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Training MediatR 2026 - Mastering AI in CQRS Architectures

Ref: QYL533
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master MediatR 2026 to orchestrate intelligent AI pipelines in certified professional training
  • Develop advanced handlers integrating Deep Learning into scalable CQRS architectures
  • Design optimized mediation behaviors for Prompt Engineering in enterprise contexts
  • Implement notifications and asynchronous pipelines boosted by Artificial Intelligence
  • Optimize MediatR 2026 performance with AI skills for professional applications
  • Deploy certified MediatR-AI solutions ready for production in 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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1MediatR 2026 Fundamentals: AI Architecture and Advanced Handlers (C#, .NET AI Toolkit)

Discover the evolutions of MediatR 2026 with native Artificial Intelligence integration, configure requests/responses for Deep Learning pipelines, implement custom handlers through practical exercises on real enterprise cases, test AI-boosted automated validations, produce a first functional mediator with performance metrics, consolidate your professional skills in interactive small groups.

Module 2MediatR 2026 Pipelines: Deep Learning Integration and Behaviors (TensorFlow.NET, ONNX)

Dive into custom MediatR 2026 pipelines enriched with Deep Learning, chain behaviors for pre/post AI processing, develop asynchronous flows with neural models via hands-on workshops, analyze intelligent logs for advanced debugging, generate automated reports on pipeline efficiency, apply these techniques to concrete enterprise scenarios for certified upskilling.

Module 3MediatR 2026 and Prompt Engineering: Intelligent Mediators (LangChain.NET, Azure OpenAI)

Explore MediatR 2026 usage for advanced Prompt Engineering, integrate AI prompt generators into your handlers, optimize LLM interactions via dynamic mediators during practical challenges, test real-time prompt chains with cloud tools, evaluate productivity impact via measurable KPIs, deliver a MediatR-Prompt prototype ready for professional deployment.

Module 4MediatR 2026 Optimization: AI Scalability and Caching (Redis, Dapr Sidecars)

Master MediatR 2026 optimization for high-load AI environments, implement intelligent caching and circuit breakers with predictive Deep Learning, profile performance via exercises on Kubernetes clusters, reduce latency by 50% with advanced techniques, integrate AI monitoring for proactive alerts, produce a scalable blueprint for certified enterprise projects.

Module 5MediatR 2026 Deployment: AI CI/CD and Real-World Use Cases (GitHub Actions, Docker AI)

Finalize with deployment of MediatR 2026 solutions in production AI environments, automate CI/CD for Deep Learning handlers and Prompt Engineering, simulate zero-downtime deployments on real client cases, secure pipelines with AI authentication, evaluate via peer review and audits, obtain your professional competency certificate ready for enterprise use.

Evaluation method

  • Daily technical quizzes on MediatR 2026 and AI (80% success required)
  • Final project: complete CQRS-AI pipeline with MediatR 2026
  • 360° evaluation by trainer and peers, Qualiopi certificate

Learning method

  • 70% hands-on: MediatR 2026 coding workshops and real AI exercises
  • 30% theory: expert enterprise case studies
  • Agile method: short iterations for skill retention
  • Digital support: video replays and source code post-training

Methods, materials and delivery

The Training MediatR 2026 - Mastering AI in CQRS Architectures 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 - Mastering AI in CQRS Architectures 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 - Mastering AI in CQRS Architectures 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

4.9 · +100 verified reviews
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« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
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« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
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« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
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« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
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« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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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