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Fondamentaux de l intelligence artificielle

Track :

Artificial Intelligence

Course Presenter :

Algomius

Lessons no : 2

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What will you learn in this course?
  • Understand fundamental AI concepts including machine learning, neural networks, and natural language processing techniques
  • Apply basic AI algorithms and models for real-world problem-solving in healthcare, finance, and industry sectors
  • Identify ethical, social, and societal challenges associated with artificial intelligence development and deployment
  • Explain AI applications such as autonomous decision-making, computer vision, and language understanding in practical contexts

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Lessons | 2


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Excellent
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medium
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4.4
106 Reviews

Sory Sanogo

This introductory course on artificial intelligence provided me with a general understanding of the fundamental concepts and applications of AI.
2025-11-01

P.Premasree

good
2025-10-30

Samuel BAHATI NYANDWI

This course was extremely relevant. The two lessons were very well chosen and helped me enrich my career in AI
2025-10-19

Issa Dauda Adisa

Good
2025-10-19

Sneha manoj Tiwari

The course are very good and knowledgeable.
2025-10-13

ALCENY DE OLIVEIRA JUNIOR

ótimo Curso
2025-10-11

ABDELHALIM EL MOUSSAOUI

The Mindluster course was incredibly insightful and well-structured. It provided practical knowledge that I can apply immediately.
I highly recommend it to anyone looking to expand their skills effectively.
2025-10-10

Ahmad Eskaf

Top
2025-10-09

Abdoul Aziz sy Lima

parfait
2025-10-04

IKRAM

GOOD
2025-10-02

MUHAMMAD NUMAAN.N

good
2025-10-02

Mayuri Sanjay Wadule

It's very good
2025-09-27

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Fondamentaux de l’intelligence artificielle, dans ce cours nous apprendrons sur ningué Fondamentaux de l’intelligence artificielle les bases essentielles de cette discipline en plein essor qui vise à créer des systèmes capables de simuler l’intelligence humaine. Le cours explore les grands domaines de l’IA, tels que l’apprentissage automatique (machine learning), les réseaux de neurones, le traitement du langage naturel, la vision par ordinateur, et la prise de décision autonome. Vous découvrirez les principales approches algorithmiques, les modèles de représentation des connaissances, et les types d’apprentissage : supervisé, non supervisé et par renforcement. Le cours introduit également les applications concrètes de l’IA dans des secteurs variés (santé, finance, industrie, etc.) ainsi que les défis éthiques et sociaux posés par son développement. Il constitue une excellente introduction pour les étudiants, développeurs ou curieux qui souhaitent comprendre comment les machines apprennent, raisonnent et interagissent avec leur environnement. Algomius