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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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30 free minutes with a training advisor — no commitment.
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Artificial Intelligence training in San Francisco in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Memphis in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Discover comprehensive Tailwind CSS training essentials for web developers. Learn utility-first styling, best practices, and future trends shaping web design in April 2026.
The Training Physics Engine 2026 - Simulate Realistic Physics in Real Time training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Physics Engine 2026 - Simulate Realistic Physics in Real Time training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Physics Engine 2026 - Simulate Realistic Physics in Real Time training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into the precise implementation of GJK and EPA algorithms for reliable collision detection, configure octree and sweep-prune broadphase structures for scalability, test on complex scenes with thousands of objects, analyze performance via profilers, produce optimization reports and reusable source code for your professional projects.
Build robust constraint stacks with iterative PGS solver for realistic joints and soft tissues, manipulate Jacobian matrices and warmstarting for fast convergence, simulate ragdoll chains and vehicles via practical exercises, validate stability under violent impacts, generate exportable configurations to Unity or Unreal Engine.
Parallelize physical simulation via Intel TBB task graphs and worker thread dispatchers, exploit AVX SIMD instructions to accelerate vector and quaternion calculations, benchmark gains on multi-core CPUs, integrate adaptive scheduling for constant 120 FPS frame rates, develop benchmarked prototypes ready for industrial integration.
Hybridize deterministic physics with ML for predictive fluids and deformations via MLUP, couple GPU compute shaders for massive particles, deploy via Docker and GitHub Actions CI/CD, complete the full red thread project with real-time rendering, prepare certified deliverables including documentation and enterprise-optimized code.
Target audience
Video game developers, simulation engineers, R&D programmers for professional skill development
Prerequisites
Mastery of C++ or Unity, linear algebra, numerical integration, and basic physics engines
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