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.
Training GraphRAG - Mastering Graphs for Advanced RAG
Very demanding course · Expertise required
Trusted by — schools, companies and industrial groups
41,259 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.
GraphRAG training objectives
- Master the implementation of GraphRAG to boost professional investigation skills.
- Develop optimized knowledge graphs for corporate certification training.
- Design graph-based RAG pipelines tailored to advanced malware analyses.
- Optimize semantic queries with GraphRAG for rapid incident response.
- Implement GraphRAG tools in real forensic scenarios.
- Evaluate and deploy GraphRAG for superior AI performance in professional contexts.
Program
GraphRAG curriculum: 4 modules over 4 days
Module 1 : GraphRAG Fundamentals: Advanced Architecture and Graph Modeling (Neo4j, LangChain)
Discover expert principles of GraphRAG to transform forensic data into intelligent graphs, implement Neo4j schemas tailored to investigations, perform practical exercises on entity extraction from malicious logs, build your first enriched knowledge graph, test optimized Cypher queries, and produce a functional deliverable ready for RAG, all in 7 interactive hours.
Module 2 : GraphRAG Construction: Data Ingestion and Vector Embedding (LlamaIndex, FAISS)
Dive into massive data ingestion for investigations with GraphRAG, configure advanced embeddings via LlamaIndex for contextual vectors, integrate FAISS for hybrid graph-vector search, apply to concrete digital trace cases, develop automated Python scripts to scale graphs, generate interactive visualizations of malicious relationships, and validate robustness on real datasets in just 7 hours.
Module 3 : GraphRAG Optimization: Model Tuning and Malware Analysis (GPT-4, custom LLMs)
Optimize GraphRAG for expert malware analysis, fine-tune LLMs like GPT-4 on forensic graphs, implement semantic reranking mechanisms, test on ransomware and APT samples, develop automated workflows for relational anomaly detection, integrate precise evaluation metrics like faithfulness and answer relevance, produce a GraphRAG-enriched malware analysis report, in 7 hours of intensive practice.
Module 4 : GraphRAG Deployment: Incident Response and Scalability (Docker, Kubernetes)
Deploy GraphRAG in production for incident response, containerize with Docker and orchestrate via Kubernetes, simulate emergency scenarios with live forensic data, automate CI/CD pipelines for graph updates, measure RAG precision gains up to 40%, generate real-time monitoring dashboards, and finalize a capstone project with a deployable deliverable, consolidating your professional skills in 7 hours.
How GraphRAG skills are assessed
- Technical MCQ on GraphRAG architectures and tools.
- Malware case study with full implementation.
- Final project: deployment of a customized GraphRAG pipeline.
How the GraphRAG course is taught
- Hands-on practical exercises in each session.
- Real cases of digital investigation and forensics.
- Mentored remote support with individual feedback.
- Post-training resources for further deepening.
GraphRAG training: access and practical arrangements
The Training GraphRAG - Mastering Graphs for Advanced RAG 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 - Mastering Graphs for Advanced RAG 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 - Mastering Graphs for Advanced RAG 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.
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.
Our method
How Learni guarantees the quality of your GraphRAG training
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.
Our social commitment
A school kit donated to a child for every training booked
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
FAQ
GraphRAG: frequently asked questions
Which tools are used in GraphRAG training?+
Hands-on work runs on neo4j, langChain, llamaIndex, FAISS, GPT-4 and custom LLMs. Those tools come from the GraphRAG program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after GraphRAG training?+
They can master the implementation of GraphRAG to boost professional investigation skills, develop optimized knowledge graphs for corporate certification training and design graph-based RAG pipelines tailored to advanced malware analyses. Those are the stated objectives of the GraphRAG program at Expert level, checked by the end-of-session assessment.
What does the GraphRAG program cover, day by day?+
Day 1: GraphRAG Fundamentals: Advanced Architecture and Graph Modeling (Neo4j, LangChain). Day 2: GraphRAG Construction: Data Ingestion and Vector Embedding (LlamaIndex, FAISS). Day 3: GraphRAG Optimization: Model Tuning and Malware Analysis (GPT-4, custom LLMs). Day 4: GraphRAG Deployment: Incident Response and Scalability (Docker, Kubernetes). The GraphRAG program runs over 4 days, delivered on site.
How is GraphRAG training assessed?+
Assessment relies on technical MCQ on GraphRAG architectures and tools, malware case study with full implementation and final project: deployment of a customized GraphRAG pipeline. Learni issues a completion certificate together with the individual assessment report at the end of the GraphRAG program, which an L&D team can file as evidence.
How much does GraphRAG training cost per participant?+
GraphRAG training costs $6,300 per participant. For an in-company team, the flat rate starts at $10,710 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does GraphRAG training take?+
4 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for GraphRAG training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before GraphRAG training?+
Advanced mastery of Python, classical RAG, graph basics (Neo4j, NetworkX), machine learning, and digital investigation.
Is a certificate issued after GraphRAG training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for GraphRAG training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere
Let's build your GraphRAG learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
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