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 Agentic RAG architectures in a professional context
- Develop autonomous agents for 3D modeling
- Design certifying RAG pipelines tailored to the enterprise
- Optimize skills on Blender, Maya, and Cinema 4D
- Implement AI solutions for simulation projects
- Deploy agent workflows in production environments
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 1Theme: Agentic RAG for 3D Modeling with Blender (tools, methods, deliverables)
Exploration of Agentic RAG fundamentals applied to 3D modeling. Using Blender to create intelligent agents that retrieve and generate complex geometries. Practical exercises on integrating vector databases, generating automated scripts, and producing optimized scenes ready for professional rendering.
Module 2Theme: Agentic RAG for 3D Modeling with Maya & 3ds Max (tools, methods, deliverables)
Building advanced RAG agents in Maya and 3ds Max. Scene data analysis, rigging and texturing automation via intelligent queries. Real-world enterprise cases with deliverables including animated characters and optimized environments, integrating real-time validation feedback.
Module 3Theme: Agentic RAG for 3D Modeling with Cinema 4D (tools, methods, deliverables)
Deploying Agentic RAG architectures in Cinema 4D for cinematic renders. Configuring data retrieval workflows, creating dynamic materials, and automated physics simulations. Practical projects resulting in complete sequences exportable for professional production.
Module 4Theme: Agentic RAG for Advanced 3D Modeling (tools, methods, deliverables)
Synthesis and multi-tool deployment of Agentic RAG skills. Optimization of cross-pipelines between Blender, Maya, and Cinema 4D, performance evaluation, and certification of final deliverables. Real-world enterprise case workshop with complete documentation and production rollout strategy.
Evaluation method
- Final quiz on Agentic RAG architectures
- Evaluated practical project with 3D deliverables
- Self-assessment of acquired skills
Learning method
- Interactive sessions via video conference
- Daily practical exercises
- Personalized trainer feedback
- Access to resources and replays
Methods, materials and delivery
The Training Agentic RAG 2026 - Optimizing Autonomous AI Systems 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 Agentic RAG 2026 - Optimizing Autonomous AI Systems 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 Agentic RAG 2026 - Optimizing Autonomous AI Systems 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 Agentic RAG 2026 - Optimizing Autonomous AI Systems training cost?+
The individual price is $4,620 (USD). A detailed quote is sent within one business day.
How long is the Training Agentic RAG 2026 - Optimizing Autonomous AI Systems 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?+
Confirmed mastery of Blender or Maya, experience in Python scripting, and completed complex 3D modeling projects.
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
Available on-site and remotely. Pick your city to see the local training center.
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