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Training GraphRAG 2026 - Boost Sound Design and AI Podcasts

Ref: VTW898
10 people max.
From $4,620 HT / per person
On-site on request · +$540 with certification exam
4 days
Remote

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Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
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Learning objectives

  • Master GraphRAG 2026 to optimize semantic searches in professional sound design
  • Develop knowledge graphs tailored to podcasts and corporate music
  • Design advanced RAG pipelines integrating certified audio datasets
  • Implement GraphRAG integrations with Ableton for creative workflows
  • Optimize AI performance for sustainable audio skills in training
  • Produce sound design deliverables boosted by intelligent graphs
A child walking to school with a backpack
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 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.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1GraphRAG 2026: Fundamentals and Setup (Python, Neo4j, audio datasets)

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.

Module 2GraphRAG 2026: Building Graphs for Podcasts (audio ontologies, vector stores)

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.

Module 3GraphRAG 2026: Advanced Sound Design Integrations (Ableton API, LLM fine-tuning)

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.

Module 4GraphRAG 2026: Optimization and Professional Deployment (scaling, AI audio monitoring)

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.

Evaluation method

  • Daily interactive quizzes on GraphRAG audio
  • Final sound design project with Ableton and podcasts
  • Peer-review evaluation and Qualiopi certification

Learning method

  • 70% hands-on practice with GraphRAG 2026
  • Real cases in podcasts and DAW sound design
  • Personalized feedback from AI audio experts
  • Professional Ableton workflow simulations

Methods, materials and delivery

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.

Equipment required

For the smooth delivery of the Training GraphRAG 2026 - Boost Sound Design and AI Podcasts 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 - Boost Sound Design and AI Podcasts 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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

FAQ

Frequently asked questions

How much does the Training GraphRAG 2026 - Boost Sound Design and AI Podcasts training cost?+
The price is $4,620 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training GraphRAG 2026 - Boost Sound Design and AI Podcasts training?+
The training lasts 4 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?+
Solid foundations in Python and ML, experience with simple RAG, knowledge of audio production or DAW with Ableton Live
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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