Training Multimodal RAG - Developing High-Performing Multimodal AIs

$1,155

  • 1 day
  • Onsite
  • 10 people max.
Ref: BUP252
10 people max.
$1,155
In-company rate: from $2,195 for the whole team
On-site and certification exam on quote
1 day
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of Multimodal RAG, AI teams lose 50% precision on complex queries involving images or audio, leading to costly errors in multimodal data analysis.

  • Companies without the capability see their AI projects fail in 65% of multimodal cases, with development costs inflated by 40% due to unsuitable retrievers.

  • In 2025, 82% of AI job postings require advanced RAG skills, risking profile obsolescence and loss of business competitiveness.

  • Each quarter without training widens a fatal gap against competitors deploying superior multimodal agents.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

40,841 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

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  • Mistral AI
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  • Microsoft Dynamics 365
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  • Palo Alto Networks
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  • VMware
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  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Multimodal RAG training objectives

  • Master Multimodal RAG architectures for certified professional applications
  • Develop pipelines integrating text, images, and audio with advanced skills
  • Implement optimized multimodal retrievers for enterprise
  • Design reactive and scalable multimodal AI agents
  • Optimize the performance of multimodal RAG in production
  • Integrate models like CLIP and Llama 3 into professional workflows
  • Deploy secure and maintainable Multimodal RAG solutions

Multimodal RAG curriculum: 1 module over 1 day

Module 1 : Multimodal RAG: Implementing Advanced Text-Image-Audio Pipelines (LangChain, CLIP, LlamaIndex, Vector Stores)

Dive into creating complete Multimodal RAG pipelines, install and configure LangChain with CLIP to merge text and visual embeddings, integrate hybrid retrievers on databases like Pinecone or FAISS, develop an AI agent handling multimodal documents through practical exercises on real enterprise cases such as analysis of illustrated reports, test augmented generation with Llama 3, optimize latency and accuracy through fine-tuning, produce a deployable capstone project with personalized code review by the expert trainer.

How Multimodal RAG skills are assessed

  • Multiple-choice quiz to validate knowledge on Multimodal RAG architectures
  • Continuous assessment through practical exercises on multimodal pipelines
  • Presentation of the capstone Multimodal RAG project to the trainer

How the Multimodal RAG course is taught

  • Courses led by an expert AI trainer in professional practice
  • Practical exercises on real enterprise multimodal cases
  • Progressive capstone project on text-image-audio RAG
  • Complete course materials provided to each participant

Multimodal RAG training: access and practical arrangements

The Training Multimodal RAG - Developing High-Performing Multimodal AIs 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 - Developing High-Performing Multimodal AIs 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 - Developing High-Performing Multimodal AIs 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.

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.

A child walking to school with a backpack
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
Enroll and offer a kit
FAQ

Multimodal RAG: frequently asked questions

Which tools are used in Multimodal RAG training?+
Hands-on work runs on langChain, CLIP, llamaIndex and vector Stores. Those tools come from the Multimodal RAG program itself, delivered on site over 1 day, so participants practise on the stack they will use at work.
What can participants do after Multimodal RAG training?+
They can master Multimodal RAG architectures for certified professional applications, develop pipelines integrating text, images, and audio with advanced skills and implement optimized multimodal retrievers for enterprise. Those are the stated objectives of the Multimodal RAG program at Advanced level, checked by the end-of-session assessment.
How is Multimodal RAG training assessed?+
Assessment relies on multiple-choice quiz to validate knowledge on Multimodal RAG architectures, continuous assessment through practical exercises on multimodal pipelines and presentation of the capstone Multimodal RAG project to the 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 $1,155 per participant. For an in-company team, the flat rate starts at $2,195 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?+
1 day, 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?+
Mastery of Python, classical RAG, vector embeddings, frameworks like LangChain or LlamaIndex.
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.
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