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 Multimodal AI in the Enterprise
Trusted by — schools, companies and industrial groups
40,842 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 certifying professional projects
- Develop retrieval pipelines integrating text and images in enterprise settings
- Configure multimodal embeddings with high-performance open-source tools
- Implement multimodal RAG AI agents for real-world applications
- Optimize skills in multimodal state management and vector stores
- Deploy scalable and secure Multimodal RAG solutions
Multimodal RAG curriculum: 3 modules over 3 days
Module 1 : Multimodal RAG Fundamentals: Embeddings and Vector Databases (CLIP, LlamaIndex, Pinecone)
Quick installation of a complete environment with LangChain and Hugging Face Transformers, exploration of multimodal embeddings for handling text, images, and hybrid documents, practical exercises on vectorizing real enterprise datasets, creation of a persistent vector knowledge base, first cross-modal semantic similarity tests, launch of a red thread project on a concrete case like an AI assistant for e-commerce, with immediate trainer feedback to consolidate essential skills.
Module 2 : Implementing Multimodal RAG: Retrieval Pipelines and Augmented Generation (FAISS, OpenAI GPT, Llama 2)
Building hybrid RAG pipelines connecting multimodal retrieval to powerful LLMs, integration of text-image chunks via advanced retrievers, development of practical applications like a chatbot analyzing product photos and descriptions, optimization of queries for improved accuracy, implementation of reranking and fusion of multimodal results, collaborative exercises on varied professional scenarios, production of functional prototypes tested in real-time, enhancement of skills for immediate team use.
Module 3 : Practical and Deployment of Multimodal RAG: Optimization, Security, and Use Cases (Fine-tuning, Streamlit, Docker)
Finalization of the red thread project with deployment on Streamlit for interactive demo, performance optimization techniques such as multimodal caching and batching, integration of security for sensitive enterprise data, exploration of concrete cases in marketing and customer support, lightweight fine-tuning of embeddings on custom datasets, monitoring of accuracy and latency metrics, preparation of production-ready deliverables, personalized code review session to boost confidence and employability.
How Multimodal RAG skills are assessed
- Multiple-choice quiz to validate learning outcomes at the end of the certifying training
- Continuous assessment through practical multimodal exercises
- Defense of the red thread Multimodal RAG project before the expert trainer
How the Multimodal RAG course is taught
- Lessons led by an expert AI trainer in active professional practice
- Practical exercises on real business cases and multimodal datasets
- Progressive red thread project to anchor lasting skills
- Complete course materials and open-source resources provided to each participant
Multimodal RAG training: access and practical arrangements
The Training Multimodal RAG - Integrating Multimodal AI in the Enterprise 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 Multimodal AI in the Enterprise 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 Multimodal AI in the Enterprise 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 CLIP, llamaIndex, pinecone, FAISS, openAI GPT and llama 2. Those tools come from the Multimodal RAG program itself, delivered on site over 3 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 certifying professional projects, develop retrieval pipelines integrating text and images in enterprise settings and configure multimodal embeddings with high-performance open-source tools. 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: Multimodal RAG Fundamentals: Embeddings and Vector Databases (CLIP, LlamaIndex, Pinecone). Day 2: Implementing Multimodal RAG: Retrieval Pipelines and Augmented Generation (FAISS, OpenAI GPT, Llama 2). Day 3: Practical and Deployment of Multimodal RAG: Optimization, Security, and Use Cases (Fine-tuning, Streamlit, Docker). The Multimodal RAG program runs over 3 days, delivered on site.
How is Multimodal RAG training assessed?+
Assessment relies on multiple-choice quiz to validate learning outcomes at the end of the certifying training, continuous assessment through practical multimodal exercises and defense of the red thread Multimodal RAG project before the expert trainer. 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 $3,465 per participant. For an in-company team, the flat rate starts at $6,290 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?+
3 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?+
Python basics, fundamentals of machine learning, and REST APIs.
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.
Reply within 24h · Vetted experts · USD invoicing · W-9 available
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