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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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Explore the future of asynchronous communication training for distributed teams. Discover strategies, tools, and trends shaping effective collaboration across time zones by May 2026.
Professional Training training in Fort Worth in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Dallas in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Mesa in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
The Training Multimodal RAG 2026 - Mastering Hybrid Automated AI training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Multimodal RAG 2026 - Mastering Hybrid Automated AI training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Multimodal RAG 2026 - Mastering Hybrid Automated AI training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into the advanced fundamentals of Multimodal RAG 2026 with theoretical modules on text-image-audio embeddings, explore tools like FAISS and Pinecone for storing multimodal data, perform practical exercises in hybrid indexing with Python, integrate initial RPA workflows via UiPath to automate retrievals, and build a basic RAG prototype handling PDF documents with images, validated in pairs to consolidate professional skills.
Build complete Multimodal RAG 2026 pipelines by merging multimodal retrieval and AI generation, use Power Automate to orchestrate intelligent RPA flows, test with real datasets including videos and tables, optimize prompts to minimize errors, implement guardrails against multimodal biases, and deploy an RPA agent prototype connected to GPT-4o, with log analysis to measure retrieval precision above 85% in an enterprise context.
Advance to optimization of Multimodal RAG 2026 models via LoRA fine-tuning on custom datasets, integrate UiPath Orchestrator to scale multimodal RPA bots, simulate enterprise loads with 1000+ queries/hour, apply RAG fusion and reranking techniques, measure latency and cost gains using tools like LangSmith, and generate deliverable performance reports ready for Qualiopi audit in certified training.
Conclude with production deployment of Multimodal RAG 2026 solutions coupled with RPA, configure Power Automate for real-time monitoring, analyze real use cases like customer automation with AI vision, implement tracing with Weights & Biases, test resilience to multimodal failures, produce a complete project portfolio with source code and KPI dashboard, and prepare for skills certification via quiz and defense to enhance your professional expertise.
Target audience
Data scientists, AI engineers, RPA experts, and developers automating complex processes, seeking to upskill in Multimodal RAG 2026 to boost enterprise efficiency.
Prerequisites
Advanced mastery of Python and LLMs like GPT-4V, experience in RPA with UiPath or Power Automate, knowledge of vector databases and multimodal embeddings.
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