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Training Multimodal RAG - Integrating Advanced AI in Blockchain

Ref: KYL636
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 Multimodal RAG architectures to integrate text, images, and videos in blockchain
  • Develop certified professional skills in decentralized AI agents on Web3
  • Design optimized multimodal RAG systems for Solidity smart contracts
  • Implement advanced retrievals with IPFS and decentralized databases
  • Optimize DeFi performance via multimodal RAG in enterprise settings
  • Deploy intelligent dApps combining blockchain and AI for digital transformation
  • Acquire certified expertise for leadership in professional blockchain training

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 Fundamentals: Hybrid Blockchain Architectures (Solidity, Multimodal Embeddings)

Discover the advanced basics of Multimodal RAG adapted for blockchain, exploring CLIP and LlamaIndex encoders to fuse text and images in Solidity smart contracts. Complete practical exercises on Ethereum testnets, configure IPFS vector stores, and produce a first multimodal retrieval prototype, strengthening your professional Web3 skills through real DeFi cases.

Module 2Advanced Multimodal RAG Retrieval: Decentralized Indexing (Web3, Pinata IPFS, The Graph)

Dive into multimodal indexing with IPFS and The Graph for blockchain RAG, integrate hybrid text-image queries in Solidity dApps, practice benchmarks on real Web3 datasets, optimize latencies for scalable DeFi, and deliver a functional decentralized search module, boosting your certified expertise in professional enterprise training.

Module 3Multimodal RAG Generation: Fine-Tuning LLMs on Blockchain (Llama 3, Solidity Oracles)

Master fine-tuning of multimodal LLMs like Llama 3 with RAG for blockchain oracles, develop advanced prompts integrating vision and text in smart contracts, test on Polygon and Arbitrum, analyze hallucinations using RAGAS metrics, and deploy an autonomous DeFi AI agent, consolidating expert blockchain skills for professional career transitions.

Module 4Multimodal RAG Optimization: Scaling and Web3 Security (Flashbots, Zero-Knowledge Proofs)

Optimize Multimodal RAG pipelines for high-load blockchain using Flashbots and ZK-proofs, integrate guards against multimodal injections in Solidity, simulate attacks on testnets, measure ROI via gas efficiency, and produce a decentralized monitoring dashboard, refining your certified skills in secure enterprise blockchain development.

Module 5Production Deployment of Multimodal RAG: Complete DeFi dApps (Vercel, Chainlink, Audits)

Deploy to production a Multimodal RAG dApp integrating Chainlink oracles and Certik audits, finalize end-to-end Solidity-Web3 workflows, evaluate performance on mainnets, prepare scalable roadmaps for enterprises, and obtain personal certification via a deliverable project, maximizing professional impact in advanced blockchain training.

Evaluation method

  • Daily technical quizzes on multimodal RAG blockchain
  • Final project: Complete DeFi dApp with expert RAG
  • Peer code audit Solidity and Web3
  • Qualiopi certified skills attestation

Learning method

  • 70% hands-on: live coding Solidity and multimodal RAG
  • 30% theory: real Web3 DeFi blockchain cases
  • Hands-on exercises with IPFS and advanced LLMs
  • Daily personalized feedback from expert coach

Methods, materials and delivery

The Training Multimodal RAG - Integrating Advanced AI in Blockchain 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 - Integrating Advanced AI in Blockchain 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 Blockchain 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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