Google Cloud Peer Learning & Support Session

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

Join us in the final stretch of our Google Cloud Study Jams for an engaging Peer Learning & Support Session! This even...

Nov 13, 2025, 2:30 – 3:30 PM (UTC)

2 RSVP'd

Key themes

Google CloudWorkshop / hands-on session

About this event

Join us in the final stretch of our Google Cloud Study Jams for an engaging Peer Learning & Support Session! This event is an open platform for exchanging knowledge and collaborative problem-solving with your peers. Whether you're stuck on a concept or want to share your learning strategies, this gathering is designed to foster mutual support and growth. It’s a unique opportunity to find answers to your queries, help your fellow learners, and solidify your understanding. Let's wrap up this Google Cloud Learning journey together, stronger than ever. Bring your questions, your curiosity, and your energy! Don't miss out on becoming a part of a supportive learning community! See you there! 🚀

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