AI Decoded: Machine Learning, LLMs, Deepfakes & Where You Fit In?

GDG on Campus Jomo Kenyatta University of Agriculture and Technology - Juja, Kenya

Explore the AI landscape with a clear breakdown of machine learning, large language models, and generative AI like deepfakes. Ideal for student developers looking to understand these technologies and choose their path in the field.

Sep 22, 2:30 – 4:00 PM (UTC)

45 RSVP'd

Key themes

About this event

A practical breakdown of the AI landscape — what's actually different between ML, LLMs, and deepfakes/generative models — and how to pick your lane as a student developer.

Organizers

  • Geoffrey Owuor

    Campus Lead

  • Olive Kibichum

    Campus Co-lead

  • Millicent Morara

    Jomo Kenyatta University of Agriculture and Technology(JKUAT)

    JKUAT Karen Campus Lead

  • Hope Macharia

    PR Lead

  • Anilla Wambaki

    Women In Tech Lead

  • RHODAH MULERA

    Cloud Track Lead

  • Kelvin Gichinga

    Codeward

    AI/ML Track Lead

  • Terence Otieno

    Jomo Kenyatta University of Agriculture and Technology

    DevOPs Track Lead

  • Robert Toroitich

    Web Dev Track Lead

  • Lampard Kipyegon

    JKUAT

    Datascience Tack Lead

  • Lukas Enoch

    GDG JKUAT

    Blockchain Track lead

  • Jecinta King'athia

    UI/UX Track Lead

  • DANIEL NDUNGU

    Cyber Sec Track Lead

  • Ibrahim Gichemba

    IoT Track Lead

  • Davis Oute

    IoT Track Co-Lead

  • Christian Cheruiyot

    Mobile Dev Track Lead

  • Wangui Mwangi

    Data Science Track Co-lead

  • AUDRY SAISI

    Jomo Kenyatta University of Agriculture and Technology

    Co-Lead Data Science