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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
RAG Pipeline Training - Building Reliable Contextualized AIs
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master RAG pipeline principles for professional, certifiable applications
- Develop advanced retrieval systems with vector embeddings
- Implement complete RAG pipelines integrating LLMs and databases
- Optimize performance to reduce hallucinations in enterprise settings
- Evaluate and test RAG pipelines on real professional cases
- Deploy scalable and secure RAG solutions
Our social commitment
A school kit donated to a child for every training
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
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.
Don't let this gap widen
Why this program matters
Without mastery of RAG pipelines, 75% of LLM responses produce hallucinations, causing business errors estimated at 2M€ annually for Fortune 500 companies according to McKinsey.
Teams without RAG lose 40% of time on manual verifications, slowing AI innovation.
In 2024, 68% of generative projects fail for lack of precise contextualization, exposing companies to GDPR risks and lost competitiveness.
Each quarter without RAG skills widens the gap with leaders who deploy reliable AIs 3x faster.
Program
Module 1RAG Pipeline Fundamentals: Setup and First Retrievals (LangChain, Embeddings)
Introduction to key RAG concepts to enhance LLMs, quick environment setup with LangChain and Hugging Face, creation of your first pipeline including indexing of company PDF documents and texts, experimentation with OpenAI or Sentence Transformers embeddings, practical exercises on real datasets for semantic retrieval, generation of contextualized responses with code review by the trainer.
Module 2Advanced Retrieval in RAG Pipelines: Vector Stores and Intelligent Chunking (Chroma, Pinecone)
Deep dive into vector databases for precise retrieval, setup of ChromaDB and Pinecone to store millions of vectors, mastery of strategic chunking for long company documents, hybrid BM25 + dense retrieval search, practical workshops to ingest large corpora such as annual reports or internal FAQs, query optimization for improved precision, production of real-time testable prototypes.
Module 3Augmented Generation in RAG Pipelines: LLM Integration and Prompt Engineering
Full assembly of the RAG pipeline with LLMs such as GPT-4 or Mistral, prompt engineering for seamless retrieval and generation fusion, handling reranking and merging of relevant chunks, real-world cases on enterprise chatbots for internal Q&A, collaborative exercises to implement multi-hop retrieval, live debugging of generated responses, creation of your customized RAG pipeline with fidelity metrics.
Module 4RAG Pipeline Optimization: Reducing Hallucinations and Scaling (Evaluation Metrics)
Advanced techniques to evaluate RAG using RAGAS and metrics like faithfulness or answer relevance, identification and correction of hallucinations via grounding, optimization of fine-tuned embeddings on company data, horizontal scaling with FAISS or Weaviate, workshops on A/B testing pipelines, 50% latency reduction via intelligent caching, production of actionable team evaluation reports.
Module 5RAG Pipeline Deployment: Production and Monitoring (Docker, Streamlit, Observability)
Containerization of the RAG pipeline with Docker and deployment on AWS or Vercel cloud, secure API integration for enterprise apps, real-time monitoring with LangSmith or Prometheus, cost management and auto-scaling, real-world use cases like HR virtual assistants or customer support, finalization of your ongoing project with live deployment, delivery of optimized source code and professional maintenance plan.
Evaluation method
- Technical quiz on RAG concepts at the end of the training
- Practical evaluation through development of customized pipelines
- Defense of the ongoing RAG project in front of the expert trainer
Learning method
- Sessions led by an active AI expert at leading companies
- Hands-on exercises on authentic business cases and open-source datasets
- Progressive ongoing RAG project from day 1 to final deployment
- Detailed course materials and GitHub resources provided to each participant
Methods, materials and delivery
The RAG Pipeline Training - Building Reliable Contextualized AIs 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 RAG Pipeline Training - Building Reliable Contextualized AIs 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 RAG Pipeline Training - Building Reliable Contextualized AIs 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.
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.
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.
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.
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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FAQ
Frequently asked questions
How much does the RAG Pipeline Training - Building Reliable Contextualized AIs training cost?+
The price is $5,775 (USD) per participant. A detailed quote is sent within one business day.
How long is the RAG Pipeline Training - Building Reliable Contextualized AIs training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Mastery of Python, basics in machine learning, and experience using LLMs such as GPT or Llama
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
This training across cities
Available on-site and remotely. Pick your city to see the local training center.
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