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Computing & IS

Call For Applications: Machine Learning for Earth Observation ToT Bootcamp

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Together with the AI and data science research group at Makerere University in Uganda, US-based nonprofit Radiant Earth Foundation announces its “Machine Learning for Earth Observation” Training of Trainers bootcamp for professionals from Uganda, Rwanda, Ghana, and South Africa. This is an exclusive training event made possible with the support of FAIR Forward, which is implemented by Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH on behalf of the German Ministry for Economic Cooperation and Development (BMZ). 

The bootcamp aims to identify and develop a community of African regional experts that can collaborate on solutions to the continent’s needs and problems. Forty participants will be selected competitively to attend this 2-week training at no cost to the trainees. Certificates will be awarded after graduates train five other individuals. 

Registration to attend this training is open, and potential trainees can apply here by February 14, 2021. 

Course dates: March 22 – April 2, 2021

Duration: 2-weeks, online, 20 hours per week

Learning Objectives: 

  • Establishing a baseline understanding of machine learning and Earth observation
  • Learning how to access EO data for ML applications and generating insights from it
  • Building machine learning models such as crop type and land cover classifications
  • Learning how to be a successful trainer

Course format: Online lectures, group settings, and hands-on exercises

Audience: Entry-level data science or remote sensing practitioners. Recent graduates or Ph.D. students specializing in Earth Observation and/or Machine Learning.

Cost: Free for those selected

Please see Downloads for flyer

Mark Wamai

Computing & IS

CoCIS CIPSD Short Courses for Vacists, Students and Professionals

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Block B of the College of Computing and Information Sciences (CoCIS), Makerere University, Kampala Uganda.

Makerere University College of Computing and Information Sciences (CoCIS) is the main ICT Training, Research and Consultancy Centre in Makerere University. The College has six Academic departments comprising of the Department of Computer Science, Department of Networks, Department of Information Technology, Department of Information Systems, Department of Library and Information Sciences, and the Department of Records and Archives management.

In addition to the mainstream degree programmes, CoCIS has a specialized Center for Innovations and Professional Skills Development (CIPSD) which delivers state-of-art training in ICT e.g. the Cisco Networking Academy for Cisco related courses, the Microsoft IT Academy Program for Microsoft related courses, International Computer Driving License course, Oracle Certified Training center for Oracle, Linux and Unix Training center. CIPSD also offers Machine Learning, Big Data Analytics, Data Science, Artificial Intelligence (AI) as online courses.

Click link below for start dates and to register:

https://forms.gle/eTVwcAfBGXaVLL9b7

  • All courses are at affordable fees catering for Students, Vacists, Professionals and
  • Anyone who wants to start a career in ICT or polish his/her ICT skills.

Contact Information

E-mail: psd.cis@mak.ac.ug
Call/WhatsApp: +256 752 779964 | +256 701 806656 | +256 752 373023
URL: https://cocis.mak.ac.ug/cipsd/

CoCIS CIPSD Short Courses for Vacists, Students and Professionals.
CoCIS CIPSD Short Courses for Vacists, Students and Professionals.

Mak Editor

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Computing & IS

Mak-AI Multilingual AI for Health Challenge – Fully Online

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Makerere University Centre for Artificial Intelligence (Mak-AI) Multilingual AI for Health Challenge is now open fully online on Zindi, Deadline: 21st July 2026. College of Computing and Information Sciences (CoCIS), Kampala Uganda, East Africa.

What happens when AI speaks African languages?

The Makerere University Centre for Artificial Intelligence (Mak-AI) Multilingual AI for Health Challenge is now open on Zindi; inviting innovators, researchers, and developers to build AI systems that answer health questions in African languages such as Luganda, Kiswahili, Akan, and Amharic.

This challenge focuses on improving access to trusted maternal, sexual, and reproductive health information for communities across Africa, especially in low-resource settings.

  • Win up to $5,000 USD
  • Fully Online
  • Open until 21 July 2026

If you’re passionate about AI, language technologies, and building solutions with real social impact, this is your chance to contribute.

Register here: https://bit.ly/4u5VrFG

Mak Editor

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Computing & IS

Call for Applications: Certificate in Health Informatics (June 2026 Intake)

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Makerere University School of Public Health (MakSPH) invites applications for the June 2026 intake of its 4-week Certificate in Health Informatics short course. Kampala Uganda, East Africa.

Makerere University School of Public Health (MakSPH) invites applications for the June 2026 intake of its 4-week Certificate in Health Informatics short course, designed to equip professionals with practical skills to use data and digital technologies to improve healthcare delivery.

Course Overview

Information and Communication Technologies (ICTs) are transforming healthcare delivery across Africa. However, many professionals are trained in either health or informatics, creating a gap in the effective use of digital solutions in healthcare.

This course is tailored to bridge that gap by equipping participants with practical knowledge and skills to design, implement, and manage health information systems. Through case-based learning and real-world examples, participants will explore how technology can improve healthcare delivery, particularly in resource-constrained settings.

Course Aim

To equip health professionals with the knowledge and skills to effectively implement and utilise health informatics for improved healthcare service delivery.

Learning Outcomes

By the end of the course, participants will be able to:

  • Apply Health Information Technology (HIT) to improve healthcare systems
  • Understand and use Electronic Medical Records (EMRs), including integration and interoperability
  • Manage digital health innovations such as telemedicine, mHealth, and wearable technologies
  • Apply data analytics, Artificial Intelligence (AI), and Machine Learning (ML) concepts
  • Address ethical issues in health data, including privacy, security, and governance

Course Modules

  • Health Information Technology
  • Adoption and Diffusion of Healthcare IT
  • Clinical Decision Support Systems
  • Electronic Health Records
  • Healthcare IT Industry & Global Policies
  • Telemedicine
  • Ethics, Security, Confidentiality & Privacy of Health Records
  • Healthcare Data Collection and Management

Course Schedule

  • Dates: 1st June – 30th June 2026
  • Duration: 4 weeks
  • Sessions: Daily (2 hours)
  • Time: 7:00 PM – 9:00 PM (EAT)
  • Mode: Online (Zoom)

Target Audience

This course is suitable for:

  • Health professionals (doctors, nurses, pharmacists)
  • Paramedical personnel and hospital administrators
  • Statisticians, data managers, and social scientists
  • IT professionals and health IT implementers
  • Medical science graduates

Applicants should have relevant experience or interest in improving healthcare delivery using technology and be willing to work in multidisciplinary teams.

Course Fees

  • UGX 800,000—Ugandans & East African Community participants
  • USD 250 —International participants

How to Apply

Interested applicants should complete the online application form:

Application Link: https://forms.gle/Z5dzhEFHmBE6fV8CA
Application Deadline: Monday, 18th May 2026

Registration Procedure

  • Successful applicants will be notified within two (2) weeks of application
  • Admitted participants will receive an admission letter and payment details
  • A minimum of 80% of the course fee must be paid to confirm participation
  • Proof of payment (deposit slip) should be sent to: imutyaba@musph.ac.ug

A Zoom link and joining instructions will be shared with registered participants prior to the start of the course.

Contact Information

For further inquiries, please contact:

Course Coordinator
Ms. Irene Wanyana
iwanyana@musph.ac.ug
+256 774 968 944

Course Administrator
Mr. Ivan Mutyaba
imutyaba@musph.ac.ug
+256 785 510385

John Okeya

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