AI / Machine Learning Foundations

AI / Machine Learning Foundations is a comprehensive course that provides a solid introduction to the fundamentals of artificial intelligence (AI) and machine learning (ML). The course covers essential concepts, techniques, and algorithms used in AI and ML, including supervised and unsupervised learning, neural networks, deep learning, reinforcement learning, and more.

Apr 7, 2:00 – 4:00 PM

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Key Themes

Explore MLMachine Learning

About this event

"AI / Machine Learning Foundations is a comprehensive course designed to equip participants with a strong understanding of the fundamentals of artificial intelligence (AI) and machine learning (ML). This course offers a thorough exploration of essential concepts, techniques, and algorithms integral to AI and ML, encompassing both supervised and unsupervised learning methodologies, neural networks, deep learning architectures, reinforcement learning paradigms, and more.

Participants will delve into real-world applications of AI and ML across diverse industries and domains, gaining insights into how these technologies are transforming businesses and driving innovation. Through a combination of hands-on exercises, practical examples, and engaging case studies, participants will develop a deeper understanding of AI and ML principles and learn how to apply them effectively to solve complex problems and make data-driven decisions.

Whether you're a beginner eager to embark on your journey into AI and ML or a seasoned professional seeking to enhance your skills, this course provides a solid foundation for further learning and career advancement in the dynamic and rapidly evolving field of artificial intelligence and machine learning."

Speaker

  • Amel Sellami

    GDE

    Research Engineer in ML , GDE in ML

Organizers

  • Youness Hamdaoui

    EMSI RABAT

    GDSC Lead

  • Abdelilah AIT HAMOU

    EMSI

    GDSC Mentor

  • Othmane Rachid

    Co-Lead

  • Assia Elharouni Alaoui

    EMSI Rabat

    Communication Lead

  • Malak Hajjaj

    Logistics Manager

  • TARIK LAAOUANE

    Emsi

    Operating Systems Technical Lead

  • Laouina Yassine

    Data Structures and Systems Technical Lead

  • Hamza Boubnane

    DevOps Tech Lead

  • moncef ajmani

    Web Dev Technical Lead

  • SIFEDDINE EDDARAI

    Web Dev Technical Lead

  • Meryem Ajmani

    Web Dev Technical Lead

  • Ilham Belhaj

    Devops Technical Lead

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