Arba Minch University LMS Portal

Machine learning (ML) helps us find patterns in data—patterns we then use to make predictions about new data points. To get those predictions right, we must construct the data set and transform the data correctly. This course covers these two key steps. We'll also see how training/serving considerations play into these steps. It is recommended that a basic understanding of machine learning should be in place before embarking on this course.

Who is this course for? This self paced course is aimed at learners who have a basic understanding in ML and ML problem framing and who would like to take this a step further and learn how to construct a data set and correctly transform data

What will you learn? By the end of this course you will be able to recognise the relative impact of data quality and size to algorithms, set informed and realistic expectations for the time to transform the data, explain a typical process for data collection and transformation within the overall ML workflow, collect raw data and construct a data set, sample and split the data set with considerations for imbalanced data and transform numerical and categorical data

Topics overview: Collecting data, sampling and splitting, transforming categorical and numerical data

How much time you need to invest: This course should take approximately three (3) hours to complete

Prerequisites: It's recommended that learners have a basic understanding of ML and that the Introduction to ML Problem Framing course has been completed

Course certificate: A course certificate will be generated on the successful completion of the final quiz

Course developers: This course has been developed by Google Developers. One must be aware that other vendors have similar courses available but for the purposes of this exercise, the course offered by Google Developers has been selected.

Course contact: In case of technical troubleshooting or questions, please reach out to fairforward@giz.de

Course License: CC BY

Learn the basics of project management and understand what it takes to lead any project to triumph.

Who is this course for?
This course is for young professionals as well as current and aspiring entrepreneurs

What will you learn?

•        what is a project and what different project types are there;

•        what are the basic steps in project management;

•        how project management types vary in different contexts;

•        the difference between managing a project and managing normal day-to-day work.

Topics Overview: what is a project, managing projects, basic project management

How much time do you need to invest? It will take you around one (1) hour to complete this course.

Course Certificate: You will receive a certificate of completion after you have successfully mastered the final quiz.

Course Developer: This course was developed by GIZ and produced with Articulate Rise.

Course Contact: In case of technical troubleshooting, please reach out to atingi@giz.de

License: CC-BY-SA

Sharpen your conflict resolution skills with this self-paced course, covering conflict dynamics, analysis, and resolution strategies.

Who is this course for?

•        gain a sound understanding of the nature and function of conflicts;

•        how to design strategies towards conflict resolution;

•        how to take concrete steps towards conflict resolution.

Topics Overview: conflict management, conflict resolution, conflicts, strategies, interpersonal communication

How much time do you need to invest? It will take you around two (2) hours to complete this course.

Course Certificate: You will receive a certificate of completion after you have successfully mastered the final quiz.

Course Developer: This course was developed with Articulate Rise by GIZ.

Course Contact: In case of technical troubleshooting, please reach out to atingi@giz.de

License:  CC-BY-SA

This self-paced course will help you start your own business through discovering your product's market and your sales options. You will learn that a comprehensive market research is essential for your business and which aspects you should not neglect. You will also find out how to choose the best fitting distribution channel for your product. 

Who is this course for? 
The course is intended for anyone thinking of starting their own business. 

What will you learn? 

• You will learn how to analyse your market 
• You will get to know your competitors 
• You will understand your customers and their needs
• You will know how to select a suitable channel to sell your craft product

• Development & Management of Tourism Products
• Explore Pricing & Promotion
• Introduction to Digital Marketing for Tourism Businesses

It is also part of the learning pathway "Entrepreneurship and Business Development in Tourism" which also contains these modules:

• Development & Management of Tourism Products
• What it means to be a Tourism Entrepreneur
• Entrepreneurship for Tourism Business
• Calculations for Tourism
• Explore Pricing & Promotion

This self-study course will help you improve your soft skills to increase your chances of getting a job. You will explore different areas of soft skills, such as communication and leadership skills, time and stress management and conflict resolution. You will engage on these and other topics through personal reflection and practical tasks.

Who is this course for?

The course was originally developed for university and vocational training graduates who are currently looking for a job. However, it can be used by anyone who wants to improve their personal soft skills.

What will you learn?

The course consists of nine different modules. After completing all modules, you will be able to:

•           Recognize and treat self-esteem issues and show assertive behaviour in the workplace.

•           Communicate effectively and show good non-verbal behaviour while communicating.

•           Contribute to good teamwork and manage conflicts inside your team.

•           Use your personal competencies and soft skills for a good customer service management in companies.

•           Create a safe work environment and react properly to harassment in the workplace.

•           Use models for effective problem-solving and decision-making.

•           Use your time effectively and control your stress level.

•           Act as a successful leader in conflicts or crises.

•           Ensure high workplace safety by applying appropriate regulations.

How much time you need to invest: You can work on the course at your own pace. To complete the whole course, you will need approx. 2-3 hours.

Course Certificate: The platform will automatically generate a digital credential - Open Badge - once you will have completed all modules. It proves the participation and completion of the course.

Course Developers: Commissioned and developed by GIZ’s Sustainable Training and Education Programme (STEP).

Course Contact:  Should you have inquiries regarding the course, please contact Mr. Muhammad Ali (muhammad.ali1@giz.de).

Course License: CC BY-SA 4.0

Artificial Intelligence (AI) is a key technology driving the global digital revolution. It offers a range of new opportunities to break down existing barriers to human development and social inclusion and to help achieve Sustainable Development Goals (SDGs).

The lack of open access to training data for AI in African countries is a key barrier to the effective development and use of AI technologies at the local level. Many sources of data, for example, language data or image data, are not yet openly available for African users. This means that local AI developers often need to use data from Western countries which is not representative of the local context and may produce flawed results.

This course focuses on addressing practical challenges to AI training data in African countries as a way of strengthening local actors in the field of AI through locally developed learning content. This course is about building open, locally relevant, and unbiased AI training data for AI practitioners in Africa.

The course contains explanatory videos that will increase the available technical know-how on:

Artificial Intelligence for All: How to Create and Sustain Open AI Image Training Data

Below are links to other related courses

Artificial Intelligence for All: Open AI Training Data for African Languages

Artificial Intelligence for All: Open AI Training Data for Earth Observation

Artificial Intelligence for All: How to prepare open training data and share it for re-use by others following international standards

Artificial Intelligence for All: How to eliminate or mitigate biases in Artificial Intelligence training data

Pre-requisite: The learner should have some beginner knowledge of Python or another programming language.

Course Slack Channel: Join the Slack channel for this course here

Credit: This course is brought to you by Makerere University in partnership with GiZ and FAIR Forward - Artificial Intelligence for All.

License: CC-BY-SA.

This course will introduce you to the basic concepts of cybersecurity: What is cybersecurity and why is it important? Why and how do cyber attacks happen? Who are the attackers? What are common entry points for malicious actors? What are the possible consequences of cyber attacks? 

What will you learn? After taking this course, you will be able to:

• Explain essential cybersecurity concepts such as "vulnerabilities" or "advanced persistent threats" to a friend or colleague. 
• Understand cyber threat vectors and attack techniques used by adversaries to compromise systems.
  
• Give examples of outcomes of cyber attacks and their potential consequences for individuals, organizations, and national security.

How much time do you need to invest?  You will need approx. 60 minutes to complete this course.

Topics: cybersecurity, cyber threats, cyber attack, cyber threat vectors, malicious threat actors, vulnerabilities, advanced persistent threats, social engineering

Certificate: The platform will automatically generate a certificate of participation once you have completed the course and passed the final test. The passing mark is set at 80%. You will also receive an open badge you can share on professional networks.  

Course Developers: GIZ / p-didakt

Course Providers: GIZ

Gig workers need to upskill regularly to remain relevant in the competitive world of digital work. Welcome to Skills Trio! This first course on basic financial literacy which will help you to improve your financial competence and knowledge of planning, budgeting, saving, investing and growing in the gig economy. This course will provide tips on planning your finances better, achieving financial goals and understanding how payments work in the platform-based gig economy. This 45 min course is self-paced – you can take it anytime, anywhere online or offline.  

This course is for online freelancers, location- based gig workers and their allies interested to gain basic financial literacy and learn about tools and methods. The course is written in simple English, contains tips from experts and other gig workers, and downloadable Templates and Quick Guides which you can use offline. 

This course will provide you with a structured introduction to incident response. You will discover what incident response is and how key cybersecurity defence actors work together in the field of incident response. After taking the module, you will be able to assess the readiness for incident response in your organization.  

Who is this course for? People with an IT background or people interested in learning more about cybersecurity, including from policymaking, law, civil society, private sector and academia. No previous experience in cybersecurity or technical knowledge in incident management is required.

What will you learn? After taking this course, you will be able to:

• explain to a friend or colleague the importance of preparation, policy development, and training for effective incident readiness.
• highlight the different roles and responsibilities of key cybersecurity defense actors, including CERTs and SOCs.
• demonstrate how incident response frameworks and standards guide effective cybersecurity practices, including the National Institute of Standards and Technology (NIST), Common Vulnerability Scoring System (CVSS), Traffic Light Protocol (TLP), and Security Incident Management Maturity Model (SIM3).
• apply standardized tools and models to assess incident response maturity, prioritize threats, and ensure secure information sharing.

How much time do you need to invest?  You will need approx. 75 minutes to complete this course.

Topics: Cybersecurity, Incident response, NIST (National Institute of Standards and Technology), Vulnerability, CVSS (Common Vulnerability Scoring System), SIM3 (Security Incident Management Maturity Model), Maturity model, TLP (Traffic Light Protocol), SOC (Security Operations Center), CERT (Computer Emergency Response Team)

Certificate: The platform will automatically generate a certificate of participation once you have completed the course and passed the final test. The passing mark is set at 80%. You will also receive an open badge you can share on professional networks.  

Course Developers: GIZ / p-didakt

Course Providers: GIZ

Course Contact: Partnership for Cybersecurity / partnership.cybersecurity@giz.de

License: Creative Commons BY-SA

Publication Date: June 2025 (dead link in module 2 updated in October 2025)

• Outline the critical role of Digital Forensics in cybersecurity, focusing on its objectives, methodologies, and relevance in incident analysis. 
• Identify the key steps of the Digital Forensics process, which equips you to handle investigations with precision and reliability. 
• Describe the main aspects of the Digital Forensics Standards to ensure the integrity of your Digital Forensic investigations.  
• Describe how Digital Forensics strengthens security measures and prepares organizations for future threats through the Digital Forensics and Incident Response (DFIR) Lifecycle framework. 
• Explain the importance of understanding the complementary roles of incident management and Digital Forensics in cybersecurity by fostering collaboration for effective incident handling. 

In this self-paced training programme of 8 courses, both location-based and online gig workers will be provided with an orientation on the essential characteristics of digital labour platforms, information on how to overcome key challenges, useful tools and insights into experiences from colleagues. Course 2 – Understanding Fair Working Conditions provides foundational knowledge on ILO decent work framework. You will understand fair work principles and be able to use common online tools that improve your ability to perform tasks and find decent work on gig platforms. You can use this course as a self-reflection tool and learn from the experiences of other gig workers.

Who is this course for?
This course is for anyone working in the gig economy or interested to learn more about platform-based gig work. Whether you are a location-based or online gig worker, this course is designed to equip learners with a basic understanding of the challenges of gig work, ILO’s decent work principles, working conditions, rights as a gig worker, and support mechanisms available to navigate the gig economy.

What will you learn?
In this course, you will understand the different types of gig work, identify opportunities and challenges of working on a gig platform, explore global frameworks that protect workers' rights, and provide practical tips for overcoming challenges and building a community. This course offers practical tips for identifying and overcoming challenges, building communities and using support mechanisms available from platforms, trade unions and other sources. You can use this course as a self-reflection tool and learn from the experiences of other gig workers.

Topic Overview: Digital labour platforms, decent work framework, fair work principles, support mechanisms available to a gig worker, gig work, gig economy

How much time do you need to invest? Completing this course will take approximately 45 minutes in total.

Course certificate: Upon completion, you will receive a printable certificate and a digital badge.

Course developer: This course has been developed by common sense - eLearning & training consultants GmbH for GIZ

Course contact: gigeconomy@giz.de

License: CC-BY-SA

Publication Date: 12 April 2023