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Training Multimodal RAG 2026 - Mastering Advanced Generative AI

Course created on July 27, 2026Updated on October 5, 2026

On quote$5,775

5 days
Onsite
10 people max.

Request a quote See the program

Ref: LOT589

10 people max.

On quote$5,775

In-company rate: on quotefrom $10,395 for the whole team

On-site and certification exam on quote

5 days

Onsite

Don't let this gap widen

Why this program matters

Without mastery of Multimodal RAG 2026, 70% of backend AI projects fail at the scalability stage according to Gartner, resulting in 6-month delays and costs multiplied by 3 for companies.
Mid-level developers risk obsolescence amid rising demand for multimodal generative AI, with 45% of backend positions requiring these skills by 2026 per Stack Overflow.
Your company loses competitiveness, exposed to agile competitors integrating RAG for intelligent assistants, impacting revenue up to 25%.
Invest now in this certification training to secure your career and propel your AI projects into smooth production.

Trusted by — schools, companies and industrial groups

25,720 programs · 25 countries

Every program built with a dedicated engineer

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

Learning objectives

Master Multimodal RAG 2026 architectures to develop certified professional skills in backend AI
Implement multimodal augmented retrieval pipelines tailored to business needs
Design scalable REST APIs integrating Node.js and microservices for AI applications
Optimize RAG 2026 performance with multimodal text-image-audio embeddings
Deploy RAG solutions in production via resilient and secure microservices
Develop concrete business use cases for actionable certified training
Integrate advanced open-source tools for rapid upskilling in generative AI

Program

Module 1Fundamentals of Multimodal RAG 2026: Architectures and Embeddings (Node.js, Vector Databases)

Discover the key principles of Multimodal RAG 2026 through dedicated Node.js modules, install tools like Pinecone and Hugging Face Transformers to generate multimodal embeddings, complete practical exercises on indexing text and image data, build your first simple retrieval pipeline, analyze real business cases to validate data flows, and produce a functional testable deliverable by the end of the day, strengthening your professional backend AI skills.

Module 2Advanced Retrieval in Multimodal RAG 2026: Hybridization and Ranking (REST APIs, Initial Microservices)

Dive into hybrid retrieval techniques for Multimodal RAG 2026, configure REST APIs with Express.js to expose multimodal search endpoints, integrate rankers like Cohere Rerank, practice on real datasets mixing images and text, develop a prototype microservice dedicated to reranking, simulate enterprise loads to test scalability, and generate performance reports as deliverables, optimizing your certified backend development skills.

Module 3Augmented Generation in Multimodal RAG 2026: LLMs and Fusion (Node.js Streaming, Advanced Tools)

Explore generative augmentation in Multimodal RAG 2026 by connecting retrieval to multimodal LLMs like Llama 3 or GPT-4V via Node.js, implement response streaming for smooth UX, fuse multimodal contexts with dynamic prompts, complete hands-on workshops on e-commerce and customer support scenarios, deploy a complete API service, measure output fidelity with RAGAS metrics, and finalize a production-ready microservices prototype, boosting your professional expertise.

Module 4Microservices Architecture for Multimodal RAG 2026: Scalability and Observability (Docker, Kubernetes Basics)

Build a microservices architecture for Multimodal RAG 2026 by containerizing your Node.js services with Docker, orchestrate with introductory Kubernetes for horizontal scaling, integrate Prometheus and Grafana for observability, test resilience with light chaos engineering on multimodal flows, develop secure RESTful API gateways, apply to a complete enterprise use case like a multimodal virtual assistant, and produce dashboards and deployments as concrete deliverables, consolidating your advanced backend skills.

Module 5Production Deployment of Multimodal RAG 2026: Security, Monitoring, and Optimization (CI/CD, Best Practices)

Master production deployment of Multimodal RAG 2026 with GitHub Actions CI/CD pipelines, secure REST APIs via JWT and rate limiting in Node.js, optimize cloud costs with quantized embeddings, monitor real-time multimodal RAG performance, implement A/B tests on live microservices, review real enterprise architectures for final iterations, and generate a certified portfolio with source code, documentation, and functional demo, validating your complete professional training.

Evaluation method

Daily interactive quizzes on Multimodal RAG 2026 concepts
Practical projects evaluated by backend AI experts
Final certifying exam with real business case

Learning method

Active pedagogy with 70% hands-on practice on Node.js and microservices
Real business use cases for realistic immersion
3-month post-training support included for skills consolidation
Qualiopi certification validating intermediate Multimodal RAG expertise

Methods, materials and delivery

The Training Multimodal RAG 2026 - Mastering Advanced Generative AI 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 2026 - Mastering Advanced Generative AI 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 - Mastering Advanced Generative AI 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

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.

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

Frequently asked questions

Which tools are used in Multimodal RAG 2026 training?+

Hands-on work runs on node.js, vector Databases, REST APIs, initial Microservices, node.js Streaming and advanced Tools. Those tools come from the Multimodal RAG 2026 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 2026 training?+

They can master Multimodal RAG 2026 architectures to develop certified professional skills in backend AI, implement multimodal augmented retrieval pipelines tailored to business needs and design scalable REST APIs integrating Node.js and microservices for AI applications. Those are the stated objectives of the Multimodal RAG 2026 program at Intermediate level, checked by the end-of-session assessment.

What does the Multimodal RAG 2026 program cover, day by day?+

Day 1: Fundamentals of Multimodal RAG 2026: Architectures and Embeddings (Node.js, Vector Databases). Day 2: Advanced Retrieval in Multimodal RAG 2026: Hybridization and Ranking (REST APIs, Initial Microservices). Day 3: Augmented Generation in Multimodal RAG 2026: LLMs and Fusion (Node.js Streaming, Advanced Tools). Day 4: Microservices Architecture for Multimodal RAG 2026: Scalability and Observability (Docker, Kubernetes Basics). Day 5: Production Deployment of Multimodal RAG 2026: Security, Monitoring, and Optimization (CI/CD, Best Practices). The Multimodal RAG 2026 program runs over 5 days, delivered on site.

How is Multimodal RAG 2026 training assessed?+

Assessment relies on daily interactive quizzes on Multimodal RAG 2026 concepts, practical projects evaluated by backend AI experts and final certifying exam with real business case. Learni issues a completion certificate together with the individual assessment report at the end of the Multimodal RAG 2026 program, which an L&D team can file as evidence.

How much does Multimodal RAG 2026 training cost per participant?+

Multimodal RAG 2026 training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.

How long does Multimodal RAG 2026 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 2026 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 2026 training?+

Mastery of Node.js and REST APIs, knowledge of machine learning, asynchronous programming, and basics in vector databases.

Is a certificate issued after Multimodal RAG 2026 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.

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