Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Relevance AI 2026 - Optimizing AI for Expert Predictions training are: Advanced mastery of Python and PyTorch, experience in deep learning and deploying AI models in production, solid skills in prompt engineering.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Relevance AI 2026 - Optimizing AI for Expert Predictions training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Relevance AI 2026 - Optimizing AI for E... | Learni

The story of Learni

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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Methods, approaches, and teaching resources

The Training Relevance AI 2026 - Optimizing AI for Expert Predictions 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.

Teaching resources provided

To ensure the quality of the Training Relevance AI 2026 - Optimizing AI for Expert Predictions training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and 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.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Relevance AI 2026 - Optimizing AI for Expert Predictions training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

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.

Training objectives

Master the advanced relevance algorithms of Relevance AI 2026 in certified professional training.

Develop expert skills in optimizing deep learning models for business.

Design custom RAG pipelines with Relevance AI 2026 for accurate predictions.

Implement advanced prompt engineering techniques in a professional context.

Optimize AI performance to reduce operational costs by 40% in business.

Deploy scalable and secure Relevance AI 2026 solutions in production.

Evaluate and certify acquired skills through real-world cases in expert training.

Training program

Module 1Relevance AI 2026 Fundamentals: Deep Learning Architectures and Advanced Embeddings (PyTorch, Vector Stores)

Discover the latest developments in Relevance AI 2026 through practical workshops on PyTorch and vector embeddings, analyze concrete cases of semantic search optimization, configure vector databases like Pinecone, perform exercises on 30% latency reduction, produce your first AI ranking prototypes, and receive personalized feedback to anchor these professional skills remotely.

Module 2Relevance AI 2026 Prompt Engineering: Expert Techniques and Fine-Tuning (Hybrid LLMs, Chain-of-Thought)

Dive into advanced prompt engineering with Relevance AI 2026, test complex reasoning chains on LLMs like GPT-4o and Llama 3, optimize prompts for accuracy rates above 95%, apply fine-tuning methods on company datasets, simulate real Q&A automation scenarios, generate testable deliverables, and integrate these tools into DevOps workflows for immediate upskilling.

Module 3Relevance AI 2026 RAG Pipelines: Integration and Scalability (LangChain, Kubernetes)

Build expert RAG pipelines with Relevance AI 2026 using LangChain and orchestrators like Haystack, deploy on Kubernetes for horizontal scalability, test robustness on massive data volumes, analyze recall and precision metrics, resolve hallucination challenges via hybrid search, produce a functional end-to-end prototype, and prepare for production transfer with certifying checklists.

Module 4Deployment and Optimization of Relevance AI 2026: Monitoring and Security (MLOps, Observability)

Finalize your expertise by deploying Relevance AI 2026 solutions in MLOps with MLflow and Prometheus, implement real-time monitoring to detect drifts, secure APIs with OAuth and encryption, optimize cloud costs by up to 50% via auto-scaling, evaluate real business cases like customer personalization, submit a portfolio of certifying projects, and plan strategic integration in business.

Evaluation method

Daily interactive quizzes and coding challenges to validate expert knowledge.
Final custom RAG project evaluated by peers and certified trainers.
Qualiopi attestation and Relevance AI 2026 certification recognized in business.