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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 Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Explore the evolving role of artificial intelligence in crafting tailored educational journeys, with projections for groundbreaking advancements by April 2026.
No-Code / Low-Code training in Leeds in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Dallas in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans maîtrise de l'algorithme A* et du pathfinding, vos agents IA errent inutilement, gaspillant jusqu'à 50% des ressources CPU dans les jeux ou applications réelles.
40% des bugs critiques en jeux vidéo et simulations proviennent d'implémentations pathfinding défaillantes, entraînant des coûts de débogage moyen de 200 000 € par projet.
Chaque mois sans ces compétences expose votre entreprise à une perte de compétitivité de 25% sur les marchés IA et gaming, tandis que les développeurs risquent l'obsolescence professionnelle face à des concurrents optimisés.
Agissez avant que les délais explosent et les opportunités s'évaporent.
The Maîtriser l’algorithme A* : Formation complète en Pathfinding pour développeurs 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 Maîtriser l’algorithme A* : Formation complète en Pathfinding pour développeurs 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 Maîtriser l’algorithme A* : Formation complète en Pathfinding pour développeurs 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.
Notions de base du pathfinding, modèles de graphes, heuristiques, complexités algorithmiques ; historique et principes de l’algorithme A*. Présentation des différents contextes d’usage (jeux vidéo, robotique, navigation). Cas pratiques introductifs sur des grilles simples.
Étude approfondie des structures de données nécessaires (file de priorité, noeuds, coûts G/H). Écriture pas-à-pas d’A* en Python (pseudo-code fourni pour JavaScript/C++). Visualisation des chemins trouvés. Exercices guidés sur adaptation de l’algorithme à différents types de graphes.
Exploration de différentes heuristiques (Euclidienne, Manhattane, personnalisée). Gestion des obstacles dynamiques, algorithmes alternatifs (Dijkstra, Jump Point Search). Analyse des performances, bonnes pratiques et debugging. Mini-projet pratique : application à un problème concret (jeu 2D, carte de navigation routière, etc.).
Target audience
Développeurs, ingénieurs logiciels, étudiants en informatique souhaitant implémenter des solutions de pathfinding efficaces dans des applications réelles ou des jeux vidéo
Prerequisites
Bonnes bases en programmation (Python, JavaScript ou C++), connaissance des structures de données (tableaux, listes, graphes)
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