🎁Azure · AWS · Google — 1 free certification per learner, up to $400.Get the offer →
← Back

Training Multimodal RAG 2026 - Boost ROI for Multimodal AI Ads

Ref: PYV508
10 people max.
3300€ 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
3 journées
distanciel

Share in 2 clicks

EquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnovEquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnov

Learning objectives

  • Master Multimodal RAG 2026 architectures to integrate text, image, and video into your advertising strategies
  • Develop professional RAG pipelines optimized to boost ROI for Google Ads and Facebook Ads campaigns
  • Design intelligent retargeting systems via multimodal SEA, enhancing certifiable enterprise skills
  • Optimize multimodal embeddings for advanced personalization of online ads
  • Implement scalable RAG 2026 agents tailored to professional training needs in digital advertising
  • Evaluate and deploy Multimodal RAG models to maximize conversions in real SEA environments

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 1Multimodal RAG 2026 Fundamentals: Advanced Architectures and Hybrid Embeddings (Hugging Face, Pinecone tools)

Discover the latest advances in Multimodal RAG 2026 through practical workshops on multimodal ad datasets, integrate text and visuals to enrich your Google Ads campaigns, configure hybrid vector stores with Pinecone and LangChain, test CLIP and LlamaIndex embeddings on real Facebook Ads cases, produce your first scalable RAG prototypes, analyze performance with ad-specific ROI metrics, receive personalized feedback for immediate enterprise application.

Module 2Multimodal RAG 2026 Pipelines: SEA Optimization and Dynamic Retargeting (GPT-4o, FAISS models)

Dive into building multimodal RAG pipelines for SEA, use GPT-4o and FAISS for intelligent retargeting on Google Ads and Facebook Ads, develop hybrid reasoning chains handling product images and user queries, simulate real campaigns with automated A/B testing, integrate multimodal grounding to prevent hallucinations, generate personalized ad creatives via RAG 2026, measure conversion uplift with Streamlit dashboards, export deliverables ready for marketing team production.

Module 3Multimodal RAG 2026 Deployment: Enterprise Scaling and Ad Monitoring (Kubernetes, MLflow)

Master production deployment of Multimodal RAG 2026 for online advertising, orchestrate scalable services with Kubernetes and Docker integrating Facebook Ads APIs, implement MLflow monitoring for real-time ROI performance tracking, optimize costs via model pruning and distillation, test robustness on massive multimodal streams, develop personalized retargeting APIs, finalize capstone projects with peer review, obtain advanced skills certificates for professional CV.

Evaluation method

  • Practical projects evaluated by experts on simulated ad ROI
  • Advanced Multimodal RAG quizzes and real SEA cases
  • Qualiopi certifying attestation for professional skills

Learning method

  • Hands-on workshops: 70% practice, 30% theory
  • Real business cases in online advertising
  • Open-source tools and pro APIs (Google, Meta)
  • Individual follow-up in small groups max 10

Methods, materials and delivery

The Training Multimodal RAG 2026 - Boost ROI for Multimodal AI Ads 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 Multimodal RAG 2026 - Boost ROI for Multimodal AI Ads 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 2026 - Boost ROI for Multimodal AI Ads 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.

Your professional training, anywhere

Let's build
your next
program.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24 h · Industry-certified · Corporate funding
WhatsApp