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Training MediatR 2026 - Scalable AI Pipelines in .NET

Ref: RWA856
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 complex enterprise AI pipelines
  • Develop expert skills in Deep Learning integration via intelligent mediators
  • Design scalable architectures with Prompt Engineering in certified professional training
  • Implement advanced handlers for real-time AI optimization
  • Optimize MediatR 2026 performance in critical enterprise contexts
  • Deploy certified MediatR-AI solutions for digital transformation
  • Acquire Qualiopi certification validating professional AI mediation expertise

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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1MediatR 2026 Fundamentals: Advanced AI Handlers (C#, Mediation Patterns, Deep Learning Integration)

Discover the evolutions of MediatR 2026 with a focus on intelligent handlers for AI. Explore through practical exercises dependency injection with TensorFlow.NET, configure scalable asynchronous request pipelines, analyze real enterprise cases like Microsoft Azure, produce your first functional AI mediator, test performance with real benchmarks, and receive personalized feedback for immediate consolidation of expert skills.

Module 2MediatR 2026 and Deep Learning: Behavioral Notifications (ML Pipelines, .NET ML.NET Tools)

Dive into Deep Learning integration with MediatR 2026. Implement notifications based on neural models via ML.NET and ONNX, develop adaptive behaviors for AI APIs, simulate enterprise scenarios with massive loads, optimize handler latency via distributed Redis caching, generate automated performance reports, and apply Prompt Engineering to refine inferences, ensuring robust and certified pipelines.

Module 3Prompt Engineering in MediatR 2026: Intelligent Requests (LLM Integration, Azure OpenAI)

Master advanced Prompt Engineering at the heart of MediatR 2026. Integrate LLMs like GPT via Azure OpenAI into your mediators, design dynamic contextual requests for generative AI, test prompt chains in practical workshops, analyze biases and hallucinations with validation tools, deploy custom validators for enterprise security, produce production-ready deliverables, strengthening your certified professional skills.

Module 4Scalable MediatR 2026 Architectures: CQRS/ES with AI (Microservices, Kubernetes)

Build CQRS/ES architectures boosted by MediatR 2026 and AI. Orchestrate event sourcing with neural projections, deploy on Kubernetes via Helm charts, manage horizontal scaling for AI peaks, integrate Prometheus/Grafana observability for real-time monitoring, simulate cloud disruptions for resilience, optimize AWS/GCP costs by up to 40%, and validate via Qualiopi audits, delivering battle-ready enterprise solutions.

Module 5Optimization and Deployment of MediatR 2026: AI Production (CI/CD, Security, Certification)

Finalize your expertise with MediatR 2026 optimization in AI production. Automate CI/CD with GitHub Actions for zero-downtime deployments, secure handlers with OAuth2 and homomorphic encryption, benchmark against industry standards like Netflix OSS, generate Power BI dashboards for AI ROI, conduct pair-programming code reviews, obtain personalized Qualiopi certification, and plan a post-training roadmap for immediate enterprise impact.

Evaluation method

  • Daily technical quizzes on MediatR 2026 and AI (80% success required)
  • Capstone project: complete AI pipeline deployed in the cloud
  • Final oral interview and self-assessment of certified skills

Learning method

  • 70% hands-on: MediatR 2026 coding workshops and real AI exercises
  • 30% theory: enterprise experience feedback and best practices
  • Case studies: implementations at tech leaders like Google Cloud
  • Individual mentoring: expert coaching for personalized learning paths

Methods, materials and delivery

The Training MediatR 2026 - Scalable AI Pipelines in .NET 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 - Scalable AI Pipelines in .NET 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 - Scalable AI Pipelines in .NET 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
★★★★★

« 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
★★★★★

« 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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