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.
1 seat held for the next session
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.

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.
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
Without GraphRAG 2026, your audio searches remain linear, losing 50% efficiency according to Microsoft studies on RAG, doubling podcast production timelines to 4 weeks per episode.
Quantified consequence: costs +35% in sound design, with 70% of competing MAO studios adopting graph AI by 2026 per Gartner.
Career risk: obsolescence for sound designers, loss of 25% AI audio job opportunities.
For companies, failure in the intelligent podcasts market estimated at 12Md€ globally.
Master it to dominate.
Discover the basics of GraphRAG 2026 applied to audio, install the environment with Python and Neo4j, explore musical and podcast datasets, create first sound graphs, test simple semantic queries, integrate Ableton metadata, produce a basic RAG prototype for sound design, practical exercises on real cases of electronic music.
Build complex graphs for podcasts, define sound and narration ontologies, integrate vector stores like FAISS with audio embeddings, manipulate relationships between tracks and DAW effects, develop hybrid graph-vector queries, apply to Ableton Live scenarios, generate enriched content, collaborative exercises on AI podcast production, deliverables: functional podcast graph.
Integrate GraphRAG 2026 with Ableton via APIs, fine-tune LLMs on sound design datasets, create procedural sound generations via graphs, optimize retrieval for immersive music, test real-time pipelines, analyze performance with audio metrics, develop custom plugins, concrete cases of film sound design, hands-on exercises, deliverables: Ableton-GraphRAG prototype.
Optimize GraphRAG for enterprise production, scale massive podcast graphs, implement audio performance monitoring, deploy on cloud with Docker, secure sensitive music data, evaluate ROI for AI sound design, prepare skills certifications, review final projects, expert feedback, deliverables: deployed enterprise-ready solution, post-training plan.
The Training GraphRAG 2026 - Boost Sound Design and AI Podcasts 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.
For the smooth delivery of the Training GraphRAG 2026 - Boost Sound Design and AI Podcasts 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 GraphRAG 2026 - Boost Sound Design and AI Podcasts 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.
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.
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.
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No-code & low-codeIndustry-certifiedAvailable on-site and remotely. Pick your city to see the local training center.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.