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.
Describe your need, get a tailored program and a pre-filled quote in 3 min. A 100% free call with an advisor.
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
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.
In-depth analysis of RAG pipeline components, installation of expert environments with LangChain and LlamaIndex, creation of custom embeddings via HuggingFace and OpenAI, configuration of vector stores like FAISS and Pinecone, practical exercises on enterprise datasets to index large document volumes, development of a functional RAG prototype with initial precision tests, trainer feedback to refine the architecture from day one.
Exploration of dense and sparse retrievers for RAG pipelines, implementation of hybrid search combining BM25 and embeddings, integration of rerankers like Cohere Rerank to boost relevance, strategic chunking on complex documents, exercises on real enterprise cases with multilingual queries, comparative evaluation of recall/precision metrics, production of a deployable retrieval module with detailed logging for analysis.
Design of dynamic prompts for RAG pipelines, chaining retriever and generator with LLMs like Llama3 or GPT-4, development of autonomous RAG agents via LangGraph, management of long contexts and compression, practical workshops on sensitive enterprise Q&A scenarios, A/B tests to minimize hallucinations, creation of a complete retrieval-to-generation flow with ethical guardrails, documentation of reusable patterns for teams.
Fine-tuning of domain-specific embeddings and retrievers via LoRA on enterprise datasets, implementation of automated evaluation with RAGAS and TruLens, latency optimization via caching and batching, exercises on horizontal scaling with Docker and Kubernetes, analysis of API costs and open-source alternatives, development of a monitoring dashboard for RAG pipelines, iterations on the ongoing project to achieve 95% production precision.
Full-stack deployment of RAG pipelines on AWS/GCP cloud with FastAPI and Streamlit, CI/CD setup via GitHub Actions and Docker, monitoring integration with Prometheus/Grafana for drift detection, securing sensitive data and API keys, live incident simulations for resilience, finalization of the certifying ongoing project with presentation, delivery of optimized source code and maintenance plan for immediate enterprise deployment.
The Training RAG Pipeline - Deploying Precise AI Systems 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.
For the smooth delivery of the Training RAG Pipeline - Deploying Precise AI Systems program, the following equipment is required:
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.
Assessment of skills acquired during the Training RAG Pipeline - Deploying Precise AI Systems program is performed through:
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.
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.
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Outils collaboratifsIndustry-certified
Outils collaboratifsIndustry-certified
Outils collaboratifsIndustry-certified
Outils collaboratifsIndustry-certified
Outils collaboratifsIndustry-certified
Outils collaboratifsIndustry-certified
Bases de donnéesIndustry-certified
Bases de donnéesIndustry-certified
Bases de donnéesIndustry-certified
Bases de donnéesIndustry-certified
Bases de donnéesIndustry-certified
Bases de donnéesIndustry-certified
Cloud ComputingIndustry-certified
Cloud ComputingIndustry-certified
Cloud ComputingIndustry-certified
Cloud ComputingIndustry-certified
Cloud ComputingIndustry-certified
Cloud ComputingIndustry-certified30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.