What will you learn?
This short self paced course asks and answers the question: Who is artificial intelligence for?
Who is this course for?
This course is aimed at learners who have an interest in AI and would like to find out more of its advantages and disadvantages especially in the recruitment and healthcare sectors
What will you learn?
By the end of this course you will have an understanding of who AI benefits, harms and some of its implications for policy makers
Topics overview: Some of the areas that this course will look at include AI in the recruitment and healthcare sectors
How much time you need to invest: This course should take approximately 40 minutes to complete
Prerequisites: There are no prerequisites for entry to this online course
Course Certificate: A course certificate will be generated on the successful completion of the final quiz
Course Developers: This course has been developed by AI Ethics in cooperation with Assistant Professor Danya Glabau of NYU Tandom School of Engineering
Course Contact: fairforward@giz.de
Sharpen your conflict resolution
skills with this self-paced course, covering conflict dynamics,
analysis, and resolution strategies.
Who is this course for?
What will you learn?
• 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
Welcome to the Data Analytics, Visualization, and Narrative Generation course! We’re thrilled to have you here as you embark on a journey to become a proficient data analyst. This course is designed to equip you with the core analytical skills and knowledge used by junior and associate data analysts in their day-to-day roles. Throughout this course, you will learn the essential practices that data analysts follow, and develop key skills in data cleaning, analysis, and visualization—all using the powerful R programming language.
You will gain hands-on experience with a variety of concepts and terminologies relevant to the role of a junior data analyst, such as the data life cycle, and the complete data analysis process. These are the skills that will set you apart as a professional, enhancing your ability to understand, interpret, and present data in a clear and insightful manner.
Who is this course for?
Aspiring Data Analysts, Business Professionals, Students, Data Enthusiasts, Project Managers and Decision-Makers
By the end of the course, you will be able to:
- Perform data preparation, cleaning, and analysis using R programming.
- Apply key analytical techniques to turn raw data into actionable insights.
- Create compelling data visualizations to help communicate your findings.
- Develop your ability to tell a clear, data-driven story that communicates insights effectively.
Topic Overview:
This course is organized into 6 modules that will guide you through each step of the data analysis process:
- Module 1: Introduction – An overview of the data analysis journey and the importance of data in decision-making.
- Module 2: Ask Effective Questions – Learn how to ask the right questions and define clear objectives for your analysis.
- Module 3: Data Preparation – Understand how to clean, transform, and organize your data for analysis.
- Module 4: Data Analysis – Dive into the core techniques for analyzing and drawing insights from your data.
- Module 5: Data-Driven Storytelling – Learn how to craft narratives around your data to communicate your findings effectively.
- Module 6: Data Visualization – Master the art of creating visualizations that convey complex information clearly and persuasively.
How much time do you need to invest? Completing the course should take approximately four (4) hours
Course Certificate/Badge: A course certificate will be generated on the successful completion of the final quiz .
Course Providers: Inter-University Council for East Africa (IUCEA), Digital Skills for an Innovative East African Industry (dSkills@EA, GIZ)
Course Contact: For any questions regarding the course content, please reach out to Ben Ruhinda at bruhinda@iucea.org.
Licence: CC BY-SA
Date of publication: March 2025
Recommended Courses: Digital Marketing and E-Commerce for BusinessDigital Marketing and E-Commerce for Business
Not since the industrial revolution has business experienced such significant changes as it has seen since the launch of the World Wide Web. Since that time, access to the Internet has become almost ubiquitous. In this course, we are going to explore the evolution of commerce into e-commerce. We will look at key concepts that fit under the umbrella of e-commerce, trends in this space, and the operational side of e-commerce.
Who is this course for?
This online course is oriented to those who are starting an e-commerce business or are interested in the topic.
What will you learn?
The purpose of this course is to provide a background of what e-commerce and business are, allowing the learner to differentiate between the two. We will look at key concepts that fit under the umbrella of e-commerce, trends in this space, and the operational side of e-commerce.
Topics overview: e-commerce, e-business, digital business
How much time do you need to invest? Completing this course should take approximately three (3) hours.
Course Certificate: a course certificate will be generated on the successful completion of the final quiz
Course Developers: atingi - adapted from multiple openly licensed resources. See 'attribution' section for full list.
Course Contact: in case of technical troubleshooting or questions, please reach out to atingi@giz.de
License: CC BY-NC-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
How much time do you need to invest? It will take you about 1 hour to complete this course.
Keywords: Sustainability, tourism, management, entrepreneurship, pricing, marketing, sales
Course Certificate: The platform will automatically generate a certificate of participation and an Open Badge once you have finished all modules of the course and passed the questions in the assessment with 80%. If you would like to learn more about Open Badges, please click here.
Course Developers: Commissioned and developed by GIZ Sector Project Cooperation with the Private Sector - Component Sustainable Development through Tourism. For developer information compare course imprint.
Course Contact: Should you have questions regarding the course, please reach out to the atingi support team via the helpdesk.
License: CC-BY-SA 4.0
Publication Date: 15.10.2021
You might also find these courses on atingi useful:
This course is part of the learning pathway "Tourism Marketing" which further includes the following modules:
- 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-paced course will introduce you to the planning and the implementation of a project in terms of project phases, timing, duration and available or needed resources.
Who is this course for?
This course is for young professionals as well as current and aspiring entrepreneurs
What will you learn?
· You will learn how to develop a realistic project plan
· You will learn how resources influence time planning and vice versa
· You will learn how to use project management software packages such as Gantt-Project
Keywords: time planning, resource planning, project phases, milestones, Gantt chart, human capacity planning
How much time 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.
Course Contact: In case of technical troubleshooting, please reach out to atingi@giz.de
License: CC-BY-SA
This self-paced course will guide you on how to frame machine learning (ML) problems and then propose a solution. It does not cover how to implement ML or work with data
Who is this course for? This course is aimed at learners at the intermediate level who already have a basic understanding of ML but would like to understand how to frame ML problems
What will you learn? By the end of this course you will understand general methods of ML problem solving and be able to compare and contrast ML to other programming methods. You will be able to identify whether to solve a problem with ML as well as apply hypothesis testing and the scientific method to ML problems
Topics overview: ML mindset, predictions vs decisions, clustering, anomaly detection, success and failure metrics, ML model outputs
How much time you need to invest: This course should take approximately two (2) to three (3) hours to complete
Prerequisites: There are no prerequisites for entry but a basic understanding of ML will be beneficial
Course certificate: A course certificate will be generated based on the successful completion of the final quiz
Course developers: This course was developed by Google Developers. One must be aware that similar courses are offered by other vendors but for the purposes of this exercise, the course offered by Google Developers was selected
Course contact: fairforward@giz.de
License: CC BY SA 4.0
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
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
Many organizations are interested in developing and implementing ethical AI systems, yet lack the understanding or knowledge to do so. This short course proposes guidelines for organizations that are committed to the responsible use of AI.
Who is this course for?
The course is aimed at learners who are interested in how AI can be ethically implemented into organizations
What will you learn?
By the end of this course, you will understand some of the guidelines that organizations can adopt when implementing AI
Topics overview: Some of the topics covered in this short course include AI principles, AI ethics, AI implementation methodology within an organization
How much time you need to invest: Completing the course should take approximately 15 - 20 minutes
Prerequisites: There are no pre-requisites to enter this course
Course Certificate: A course certificate will be generated on the successful completion of the final quiz.
Course Developer: AI Ethics in cooperation with Dr Richard Benjamins, Telefonica
Course Contact: fairforward@giz.de. For technical questions, please reach out to the atingi support team via the help-desk on the top right or to atingi@giz.de
License: CC BY-NC-SA 4.0