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.
Training Multimodal RAG - Integrating Advanced AI in .NET
Trusted by — schools, companies and industrial groups
40,841 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.
Multimodal RAG training objectives
- Master the fundamentals of Multimodal RAG for professional applications in .NET
- Develop skills in C# and ASP.NET integration for Retrieval-Augmented Generation
- Design multimodal pipelines with Blazor for interactive AI interfaces
- Implement practical certifying business cases with native .NET tools
- Optimize RAG systems for text-image processing in professional training
- Deploy secure and scalable multimodal prototypes in .NET environments
Multimodal RAG curriculum: 5 modules over 5 days
Module 1 : Introduction to Multimodal RAG: Fundamentals and Architecture in .NET (C#, Semantic Kernel)
Discover the basics of Multimodal RAG through practical exercises in C#, install Semantic Kernel for .NET, explore retrieval and augmented generation concepts for text and images, build your first simple pipeline with Visual Studio, analyze enterprise use cases, and produce a deliverable architectural diagram at the end of the day to consolidate your novice skills.
Module 2 : Implementing Multimodal RAG: C# Integration and Embeddings (ASP.NET Core)
Dive into implementation with C# and ASP.NET Core, generate multimodal embeddings via Azure OpenAI, code custom vector retrievers, test text-image queries in real time, integrate databases like Cosmos DB, develop a basic API service, and deploy a functional prototype with guided exercises for rapid upskilling.
Module 3 : Multimodal RAG Interfaces: Blazor Development and Interactive UI (.NET)
Create dynamic user interfaces with Blazor for Multimodal RAG, integrate image-text upload components, visualize RAG results in real time via SignalR, optimize conversational flows, implement user feedback to refine models, test cross-platform scenarios, and deliver a complete Blazor app connected to your C# backend.
Module 4 : Optimizing Multimodal RAG: Performance and Security in Enterprise (.NET)
Optimize your Multimodal RAG pipelines for scalability with .NET, manage sensitive data security via ASP.NET Identity, fine-tune multimodal prompts for greater accuracy, monitor performance with Application Insights, resolve common error cases through practical exercises, integrate Redis caching, and produce a certifying optimization report for production deployment.
Module 5 : Deploying Multimodal RAG: Real Projects and Certification (.NET Blazor)
Finalize a complete .NET Multimodal RAG capstone project, deploy to Azure with CI/CD using GitHub Actions, integrate Blazor for an interactive demo, evaluate business metrics like accuracy and latency, share enterprise best practices, receive your Qualiopi certification, and benefit from post-training follow-up for production implementation.
How Multimodal RAG skills are assessed
- Daily interactive quizzes on Multimodal RAG concepts
- Practical projects evaluated by .NET experts
- Qualiopi certification and portfolio of achievements
How the Multimodal RAG course is taught
- Active pedagogy with 70% hands-on practice in C# and Blazor
- Exercises on real business cases in Multimodal RAG
- Unlimited post-training video support
- Individual mentoring for professional certification
Multimodal RAG training: access and practical arrangements
The Training Multimodal RAG - Integrating Advanced AI in .NET program is delivered onsite or remote (blended-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 Multimodal RAG - Integrating Advanced AI 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 Multimodal RAG - Integrating Advanced AI 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
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Our method
How Learni guarantees the quality of your Multimodal RAG training
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.
Our social commitment
A school kit donated to a child for every training booked
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
FAQ
Multimodal RAG: frequently asked questions
Which tools are used in Multimodal RAG training?+
Hands-on work runs on c#, semantic Kernel, ASP.NET Core, .NET and .NET Blazor. Those tools come from the Multimodal RAG program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after Multimodal RAG training?+
They can master the fundamentals of Multimodal RAG for professional applications in .NET, develop skills in C# and ASP.NET integration for Retrieval-Augmented Generation and design multimodal pipelines with Blazor for interactive AI interfaces. Those are the stated objectives of the Multimodal RAG program at Beginner level, checked by the end-of-session assessment.
What does the Multimodal RAG program cover, day by day?+
Day 1: Introduction to Multimodal RAG: Fundamentals and Architecture in .NET (C#, Semantic Kernel). Day 2: Implementing Multimodal RAG: C# Integration and Embeddings (ASP.NET Core). Day 3: Multimodal RAG Interfaces: Blazor Development and Interactive UI (.NET). Day 4: Optimizing Multimodal RAG: Performance and Security in Enterprise (.NET). Day 5: Deploying Multimodal RAG: Real Projects and Certification (.NET Blazor). The Multimodal RAG program runs over 5 days, delivered on site.
How is Multimodal RAG training assessed?+
Assessment relies on daily interactive quizzes on Multimodal RAG concepts, practical projects evaluated by .NET experts and qualiopi certification and portfolio of achievements. Learni issues a completion certificate together with the individual assessment report at the end of the Multimodal RAG program, which an L&D team can file as evidence.
How much does Multimodal RAG training cost per participant?+
Multimodal RAG training costs $5,775 per participant. For an in-company team, the flat rate starts at $10,395 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Multimodal RAG training take?+
5 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Multimodal RAG training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Multimodal RAG training?+
Basics in C# and .NET, object-oriented programming concepts, familiarity with Visual Studio.
Is a certificate issued after Multimodal RAG training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Multimodal RAG training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere
Let's build your Multimodal RAG learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
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