DevFest Zimbabwe 2023

Name: DevFest Zimbabwe 2023
Start: 2023-10-28T09:00:00+02:00
End: 2023-10-28T16:30:00+02:00
Location: Harare Institute of Technology (HIT).

Harare Institute of Technology (HIT)., Ganges Road, Harare, 0000

GDG Harare

Google DevFest Zimbabwe 2023 brings developers from around the country for an exciting day full of talks from tech professionals and senior developers. 

Oct 28, 2023, 7:00 AM – 2:30 PM

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Key Themes

AIAndroidDevFestNetworking

About this event

Google DevFest Zimbabwe 2023 is a locally organised event that aims to bring developers together for a day of talks and workshops from a skilled developers around the country. We will cover a wide range of topics ranging from technoprenuership, tricks of the trade and developer relations. 

When

Saturday, October 28, 2023
7:00 AM – 2:30 PM UTC

Where

Harare Institute of Technology (HIT).
Ganges Road
Harare, 0000

Agenda

Registration	Welcome and Registration
First Dive into Tech(Pannel Discussion)	In this segment we have a pannel discussing how one can dive into tech. We have Kudzai talking about tech lessons from a non developer, Tanaka talking about how to be self taught, Divine talking about how to reach out and ask for help and Tapiwa talking about branding and visibility
Next Steps in Tech(Pannel Discussion)	Next we have another pannel discussion talking about how to work toward being the best version of yourself in tech. We have Michelle talking about beating impostor syndrome, Ronald talking about achieving work-life balance and Zayne talking about building the next Silicon Valley through sacrifice and work.
Thriving like a Dev Ninja	Ruvimbo Delia Hakata
Success, Impact and Leadership in the Tech Space	Nyaradzo Audrey Museza
Global Game Jam	Cresentia Moyo
AI On-device: the power of on device machine learning and AI models	Clint Mukarati
How to develop multi-module Android apps	Alvin Fungai
Enhancing OTP Authentication	Donn C
System Design	Doctor Tafadzwa
Embracing Generative AI to break down walls.	Brandon T Bande
The Power of AI and AI models	Elinah Moyo
Open Source Datasets : The building blocks of AI	Methembe Thomas Tshuma
Interpreting vulnerabilities to non-technical stakeholders	Mufaro Kashava