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.
Learning objectives
- Master GraphRAG 2026 for professional and precise AI retrievals
- Develop dynamic knowledge graphs from enterprise data
- Implement optimized GraphRAG pipelines with LangChain and LlamaIndex
- Design certifiable AI applications reducing LLM hallucinations
- Optimize GraphRAG performance for scalable production deployments
- Evaluate and measure the business impact of acquired GraphRAG skills
- Deploy GraphRAG 2026 solutions integrated into enterprise stacks
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 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.
Program
Module 1GraphRAG 2026 Fundamentals: Building Knowledge Graphs (Neo4j, LLM extraction, entities relations)
Immediate immersion in GraphRAG 2026 through installation of expert environments with Neo4j and LangChain, automated extraction of entities and relations from large enterprise corpora using fine-tuned LLMs, interactive modeling of graphs enriched with vector embeddings, practical exercises on real datasets to identify critical nodes and semantic links, production of a first functional knowledge graph with advanced Cypher queries, validation by the trainer on concrete retrieval optimization cases, visible gain in precision from the first session to boost your professional AI projects.
Module 2Advanced GraphRAG 2026 Implementation: Optimized Pipelines and Deployment (LlamaIndex, evaluation metrics, scaling)
Development of complete GraphRAG pipelines integrating hybrid graph-vector retrieval with LlamaIndex and Ollama for local LLMs, optimization of prompts for hallucination-free augmented generation on complex enterprise queries, implementation of expert metrics like faithfulness and answer relevancy via RAGAS, exercises on scaling with Kubernetes and vector stores like Pinecone, practical cases of deployment in secure REST APIs, real-world tests on 2026 benchmarks, delivery of a deployable red thread project with monitoring dashboards, immediate transformation of your skills into actionable business value for measurable AI ROI.
Evaluation method
- Expert multiple-choice quiz to validate GraphRAG skills at the end of the training
- Continuous evaluation through practical exercises on customized pipelines
- Defense of the red thread GraphRAG project in front of the certified trainer
Learning method
- Courses led by an active enterprise GraphRAG expert trainer
- Practical exercises on real AI cases and professional datasets
- Progressive red thread GraphRAG 2026 project throughout the training
- Complete GraphRAG course materials provided to each participant
Methods, materials and delivery
The Training GraphRAG 2026 - Optimize LLMs with Intelligent Graphs 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 GraphRAG 2026 - Optimize LLMs with Intelligent Graphs 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 GraphRAG 2026 - Optimize LLMs with Intelligent Graphs 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 GraphRAG 2026 - Optimize LLMs with Intelligent Graphs training cost?+
The individual price is $2,940 (USD). A detailed quote is sent within one business day.
How long is the Training GraphRAG 2026 - Optimize LLMs with Intelligent Graphs training?+
The training lasts 2 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 Python expertise, LLMs such as GPT or Llama, classical RAG, basics of graphs with Neo4j or NetworkX
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.
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