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.
Training Corrective RAG - Eliminate AI Hallucinations
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master corrective RAG mechanisms for precise responses in production
- Develop skills in detecting and correcting professional AI hallucinations
- Implement scalable corrective RAG pipelines for certifying enterprises
- Optimize retrieval and generation with advanced self-corrective techniques
- Design robust RAG systems integrating feedback loops and reranking
- Deploy high-performance corrective RAG applications in enterprise environments
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 corrective RAG, 68% of RAG systems generate critical hallucinations, resulting in estimated business losses of 25% on customer chatbots.
Companies pay an average of 150k€ annually in uncorrected AI errors, with 40% of LLM projects abandoned due to lack of reliability.
In 2024, 82% of AI recruiters reject candidates without corrective expertise, widening the competitive gap.
Every quarter without corrective RAG skills exposes your team to costly incidents and stalled innovation.
Program
Module 1Diagnosis: Identify RAG weaknesses and corrective RAG basics (analysis tools, metrics)
In-depth analysis of common RAG failures such as hallucinations and imprecise retrieval, hands-on with diagnostic tools (RAGAS, DeepEval, TruLens), evaluation of existing pipelines on real enterprise datasets, practical exercises to quantify errors using metrics like faithfulness and answer relevance, development of an initial diagnostic report applied to your red thread project, immediately highlighting potential precision gains.
Module 2Fundamentals: Implement basic correction in corrective RAG (self-reflection, critique tokens)
Immersion in self-reflective techniques for RAG, configuration of critic models (GPT-4o, Llama-3) for self-evaluating responses, development of adaptive prompts to correct semantic drifts, practical workshops on LangChain to integrate reflection loops, tests on concrete enterprise cases such as customer chatbots, production of a functional corrective RAG prototype boosting reliability by 40%, with personalized code review by the trainer.
Module 3Advanced: Reranking and hybrid retrieval in corrective RAG (Cohere Rerank, ColBERT, ensembles)
Exploration of advanced rerankers to refine retrieval, integration of Cohere Rerank and hybrid ColBERT models into RAG pipelines, optimization of embeddings with corrective fine-tuning, exercises on massive datasets simulating enterprise loads, implementation of retrieval ensembles to minimize false positives, development of a deployable reranking module for your project, demonstrating precision gains up to 60% in real conditions.
Module 4Optimization: Feedback loops and scaling corrective RAG (active learning, distillation)
Design of human-AI feedback loops to iterate on corrective RAG, implementation of active learning with tools like Argilla, knowledge distillation for lightweight models, horizontal scaling via vector stores (Pinecone, Weaviate) with dynamic corrections, practical workshops on high-load enterprise scenarios, development of a self-improving system on the red thread project, proving a 50% reduction in operational costs while maintaining professional expertise.
Module 5Deployment: Production and monitoring of corrective RAG (observability, A/B testing)
Production deployment of corrective RAG pipelines with Docker and Kubernetes, setup of monitoring (Prometheus, LangSmith) to track drifts in real-time, comparative A/B testing on business metrics, securing against prompt injection attacks, finalization of the red thread project with complete deliverables (code, dashboard, report), certification session via enterprise scenario simulation, ensuring immediate integration and rapid ROI.
Evaluation method
- Expert-level multiple-choice quiz on corrective RAG metrics and advanced techniques
- Practical evaluation through development of a custom pipeline
- Red thread project presentation with certifying trainer audit
Learning method
- Live sessions led by production-experienced AI expert trainer
- Hands-on exercises on authentic enterprise cases
- Evolving red thread project across 5 days
- Complete resources (code, notebooks) provided
Methods, materials and delivery
The Training Corrective RAG - Eliminate AI Hallucinations 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 Corrective RAG - Eliminate AI Hallucinations 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 Corrective RAG - Eliminate AI Hallucinations 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 Training Corrective RAG - Eliminate AI Hallucinations training cost?+
The price is $5,775 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Corrective RAG - Eliminate AI Hallucinations 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?+
Advanced mastery of standard RAG, expert Python, LLM frameworks (LangChain, LlamaIndex), basics of vector stores and embeddings
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
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