Events

The University of Nairobi wishes to inform students from all the colleges who qualified for the award of various degrees and diplomas at the end of last academic year (2019/2020) and members of the public, that the 63rd Graduation Ceremony will be held 

The actual registration date is August 31, 2020, and for more information follow:https://www.uonbi.ac.ke/online-registration and The students will undergo orientation programmes at the college and faculty levels as well as the university-…

Online Examination for Semester 2 for undergraduate and Postgraduate will begin on 29th June 2020 to 17th July 2020

Calling upon Novices, Practitioners and Experts in AI, Data Science and Machine Learning! Want to gain in-depth insights and actionable strategies on the intricacies of Machine Learning in Production?  Getting to learn what it takes to solve significant problems that offer the highest return on…

Learn how to use Firebase. Firebase is app development platform that provides developers a variety of tools and a scalable infrastructure to build high quality apps.

We’ll begin by showing how easy it is to read and write almost any data to Firebase and how to allow users to login,…

As part of the aim of engaging industry in the delivery of our  programmes and in pursuit of the learning outcome of knowledge and skills necessary to implement ICT based solutions in organizations, I have invited a guest speaker 

Jan Willem Van Casteren

presentation focusing on the UoN Huawei Academy, certifications (Routing and Switching, Cloud Computing, IoT), as well as internship and employment opportunities. 

Prof. Chunming Rong is the chair of IEEE CS STC on Blockchain, and served as co-chair of IEEE Blockchain in 2018. He is also chair of IEEE Cloud Computing. He works as the head of the Center for IP-based Service Innovation (CIPSI) at the University of Stavanger (UiS) and also as adjunct Senior…

Explore Machine Learning (ML) is a Google-sponsored program for university students to get started with Machine Learning. The curriculum offers 3 tracks of machine learning content (Beginner, Intermediate, Advanced) .
Join us on 12th February as we explore Machine Learning starting off…