Free Udemy Course 2025: [FR] Cours de Certification Ingénieur Associé en IA
Master new skills with expert-led instruction - 100% Free with Certificate
Free Udemy Course Details
Language: French
Instructor: School of AI
Access: Lifetime access with updates
Certificate: Included upon completion
Cours de Certification Ingénieur Associé en IA - Free Udemy Course [100% Off Coupon Code]
Limited-Time Offer: This Development/Data Science Udemy course is now available completely free with our exclusive 100% discount coupon code. Originally priced at $79.99, you can enroll at zero cost and gain lifetime access to professional training. Don't miss this opportunity to master artificial intelligence, machine learning, and deep learning without spending a dime!
What You'll Learn in This Free Udemy Course
This comprehensive free online course on Udemy covers everything you need to become proficient in AI engineering and machine learning. Whether you're a beginner or looking to advance your skills, this free Udemy course with certificate provides hands-on training and practical knowledge you can apply immediately.
- Master feature engineering and model evaluation to build reliable, production-ready AI models using precision, recall, F1 score, and ROC-AUC metrics
- Implement advanced machine learning algorithms including decision trees, random forests, gradient boosting, XGBoost, and ensemble learning
- Understand neural networks and deep learning fundamentals with clear explanations of perceptrons, activation functions, and backpropagation
- Code machine learning algorithms from scratch to strengthen your Python programming and mathematical reasoning skills
- Build, train, and evaluate models with TensorFlow, one of the most popular deep learning frameworks used by industry leaders
- Develop expertise in PyTorch for implementing models from logistic regression to convolutional neural networks (CNNs)
- Explore AI agents and autonomous systems for chatbots, recommendation engines, and multi-agent coordination
- Prepare for specialized AI roles and advanced certifications with comprehensive, practical knowledge
Who Should Enroll in This Free Udemy Course?
This free certification course is perfect for anyone looking to break into the artificial intelligence field or enhance their existing skills. Here's who will benefit most from this no-cost training opportunity:
- Aspiring AI engineers seeking a structured path to master in-demand skills like TensorFlow and PyTorch
- Data science practitioners wanting to advance their machine learning expertise with hands-on implementations
- Software developers looking to upskill into AI and machine learning development roles
- Career changers seeking to enter the lucrative artificial intelligence industry with proven, practical training
- Students and recent graduates wanting to build a competitive portfolio with real AI projects
- IT professionals aiming to future-proof their careers with cutting-edge AI and deep learning knowledge
Meet Your Instructor
Learn from School of AI, an experienced professional in artificial intelligence education. With a proven track record of teaching thousands of satisfied students, this industry veteran provides clear, practical instruction that bridges theory and real-world application. Their teaching style emphasizes hands-on learning and actionable knowledge you can use immediately in your AI career.
Course Details & What Makes This Free Udemy Course Special
With an impressive 4.2 rating and 3,925 students already enrolled, this Udemy free course has proven its value. The course includes 20 comprehensive lessons, all taught in French. What sets this free online course apart is its practical, step-by-step approach to mastering advanced AI techniques and tools like TensorFlow and PyTorch. Upon completion, you'll receive a certificate to showcase on LinkedIn and your resume. Plus, with mobile access, you can learn anytime, anywhere—perfect for busy professionals. This Development course in the Data Science niche is regularly updated and includes lifetime access, meaning you can revisit materials whenever you need a refresher.
How to Get This Udemy Course for Free (100% Off)
Follow these simple steps to claim your free enrollment:
- Click the enrollment link to visit the Udemy course page
- Apply the coupon code: NOV_FREE_03 at checkout
- The price will drop from $79.99 to $0.00 (100% discount)
- Complete your free enrollment before November 12, 2025
- Start learning immediately with lifetime access
⚠️ Important: This free Udemy coupon code expires on November 12, 2025. The course will return to its regular $79.99 price after this date, so enroll now while it's completely free. This is a legitimate, working coupon—no credit card required, no hidden fees, no trial periods. Once enrolled, the course is yours forever.
Why You Should Grab This Free Udemy Course Today
Here's why this free certification course is an opportunity you can't afford to miss: The artificial intelligence job market is exploding with demand for skilled professionals, offering salaries that average 30-50% higher than traditional tech roles. By mastering TensorFlow, PyTorch, and advanced machine learning techniques through this zero-cost enrollment, you position yourself for high-paying roles as an AI engineer, machine learning developer, or data scientist. These skills open doors to freelance opportunities, career advancement, and cutting-edge projects that shape the future. Plus, with lifetime access, you can revisit the training as the field evolves, ensuring your skills stay current without additional investment.
Frequently Asked Questions About This Free Udemy Course
Is this Udemy course really 100% free?
Yes! By using our exclusive coupon code NOV_FREE_03, you get 100% off the regular $79.99 price. This makes the entire course completely free—no payment required, no trial period, and no hidden costs. You'll have full access to all course materials just like paying students.
How long do I have to enroll with the free coupon?
This limited-time offer expires on November 12, 2025. After this date, the course returns to its regular $79.99 price. We highly recommend enrolling immediately to secure your free access. The coupon has limited redemptions available.
Will I receive a certificate for this free Udemy course?
Absolutely! Upon completing all course requirements, you'll receive an official Udemy certificate of completion. This certificate can be downloaded, shared on LinkedIn, and added to your resume to showcase your new skills to employers.
Can I access this course on my phone or tablet?
Yes! This course is fully compatible with the Udemy mobile app for iOS and Android. Download the app, enroll with the free coupon, and learn on-the-go. You can watch videos, complete exercises, and track your progress from any device.
How long do I have access to this free course?
Once you enroll using the free coupon code, you get lifetime access to all course materials. There's no time limit—learn at your own pace, revisit lessons anytime, and benefit from future updates at no additional cost. Your one-time free enrollment gives you permanent access.
Related Free Udemy Courses
About This Free Udemy Course 2025
The "[FR] Cours de Certification Ingénieur Associé en IA" course is thoughtfully crafted to help you gain new skills and deepen your understanding through clear, comprehensive lessons and practical examples. Whether you're just starting out or looking to enhance your expertise, this course offers a structured and interactive learning experience designed to meet your goals.
What You Will Learn in This Free Udemy Course
Throughout this course, you'll explore essential topics that empower you to confidently apply what you've learned. With over 0.0 hours of engaging video lectures, along with 20 informative articles and 0 downloadable resources, you'll have everything you need to succeed and grow your skills.
Key Learning Outcomes:
- Master fundamental concepts and practical applications
- Develop hands-on experience through real-world projects
- Build a professional portfolio to showcase your skills
- Gain industry-relevant knowledge from expert instructors
Learn at Your Own Pace with Free Udemy Courses 2025
Flexibility is at the heart of this course. Access the materials on any device — whether on your desktop, tablet, or smartphone — and learn when it's convenient for you. The course structure allows you to progress at your own speed, making it easy to fit learning into your busy life.
Meet Your Free Udemy Course Instructor
Your guide on this journey is School of AI , seasoned expert with a proven track record of helping students achieve their goals. Learn from their experience and insights, gaining valuable knowledge that goes beyond the textbook.
Frequently Asked Questions About Free Udemy Courses 2025
Is this course really free?
Yes, this course is 100% free using our verified coupon code. No hidden fees or subscription requirements.
Do I get a certificate upon completion?
Yes, you'll receive an official Udemy certificate of completion that you can add to your LinkedIn profile and resume.
How long do I have access to the course materials?
You get lifetime access to all course materials, including any future updates and new content added by the instructor.
Can I access this course on mobile devices?
Yes, this course is fully mobile-optimized and can be accessed on any device with an internet connection.
Free Udemy Course Overview
![[FR] Cours de Certification Ingénieur Associé en IA](https://img-c.udemycdn.com/course/750x422/6685687_8854.jpg)
Free Udemy Course Description
Faites passer vos compétences en IA au niveau supérieur avec le Cours de Certification d’Ingénieur Associé en IA — un programme pratique de niveau intermédiaire conçu pour vous aider à acquérir une expertise concrète en apprentissage automatique, deep learning et développement d’agents d’IA. Que vous soyez un ingénieur IA en devenir, un praticien en science des données ou un développeur souhaitant monter en compétences, ce cours vous offre une base solide en techniques avancées d’IA et en outils très demandés comme TensorFlow et PyTorch.Nous commençons par l’Ingénierie des Caractéristiques et l’Évaluation des Modèles, où vous apprendrez à préparer les données, à extraire des caractéristiques pertinentes et à évaluer la performance des modèles à l’aide de métriques comme la précision, le rappel, le F1 score et le ROC-AUC. Ces compétences sont essentielles pour créer des modèles fiables et prêts pour la production.Ensuite, nous abordons les Algorithmes Avancés de Machine Learning, avec des implémentations concrètes des arbres de décision, forêts aléatoires, gradient boosting, XGBoost et apprentissage par ensemble. Vous apprendrez quand et comment utiliser chaque algorithme selon les types de données et les cas d’usage.Nous plongeons ensuite dans les Fondamentaux des Réseaux Neuronaux et du Deep Learning, pour comprendre clairement les perceptrons, fonctions d’activation, rétropropagation et architectures de réseaux. Cette section pose les bases nécessaires pour créer vos propres modèles de deep learning.Dans la section Algorithmes et Implémentations ML, vous programmerez différents algorithmes à partir de zéro. Vous consoliderez vos connaissances théoriques et pratiques tout en renforçant vos compétences en Python et en raisonnement mathématique.Nous explorons ensuite le Machine Learning avec TensorFlow, où vous construirez, entraînerez et évaluerez des modèles avec l’un des frameworks de deep learning les plus utilisés. Vous apprendrez à créer des modèles Keras, manipuler les tenseurs et concevoir des boucles d’entraînement personnalisées, indispensables pour des solutions IA évolutives.Puis, place à l’Apprentissage avec PyTorch, où vous découvrirez comment utiliser ce framework puissant et flexible pour implémenter des modèles allant de la régression logistique aux réseaux de neurones convolutifs (CNN). Vous comprendrez le fonctionnement d’autograd, les optimisateurs et la formation de modèles dans un environnement modulaire adapté à la recherche.Enfin, nous introduisons Les Agents d’IA pour les Nuls, une section accessible mais puissante sur les agents autonomes et les architectures basées sur les agents. Vous découvrirez leur rôle dans la prise de décision, la planification et l’automatisation des tâches, avec des cas d’usage concrets comme les chatbots, les systèmes de recommandation et la coordination multi-agents.À la fin du cours, vous serez capable de :Construire et déployer des modèles ML avancésComprendre les mathématiques et le code des réseaux neuronauxUtiliser TensorFlow et PyTorch avec assuranceTravailler avec les concepts et applications des agents d’IAVous préparer à des rôles spécialisés ou à d’autres certifications en IAQue vous visiez un poste d’ingénieur en machine learning, de développeur IA, ou que vous souhaitiez simplement approfondir vos connaissances, ce cours vous donne tous les outils pour réussir.Rejoignez des milliers d’apprenants et obtenez dès aujourd’hui votre Certificat d’Ingénieur Associé en IA — votre prochaine étape vers une carrière complète en intelligence artificielle !
Frequently Asked Questions About Free Udemy Courses
What is this Free Udemy course about?
The [FR] Cours de Certification Ingénieur Associé en IA course provides comprehensive training designed to help you gain practical skills and deep knowledge in its subject area. It includes 0.0 hours of video content, 20 articles, and 0 downloadable resources.
Who is this Free Udemy course suitable for?
This course is designed for learners at all levels — whether you're a beginner looking to start fresh or an experienced professional wanting to deepen your expertise. The lessons are structured to be accessible and engaging for everyone.
How do I access the Free Udemy course materials?
Once enrolled, you can access all course materials through the learning platform on any device — including desktop, tablet, and mobile. This allows you to learn at your own pace, anytime and anywhere.
Is there lifetime access to this Free Udemy course?
Yes! Enrolling in the [FR] Cours de Certification Ingénieur Associé en IA course grants you lifetime access, including any future updates, new lessons, and additional resources added by the instructor.