Enrolment options
Summary
In this self-paced course, you will learn about the concept of Evaluating and Managing AI Projects. It will take you about 1,5 hour to complete the course and you will earn a certificate once you completed all modules.
Who is this course for?
This course has been created for everyone who wants to develop themselves more in the field of Artificial intelligence for sustainable development goals.
What will you learn?
This course introduces the concepts of evaluating and managing artificial intelligence projects.
Topics Overview: Model evaluation and matrics, machine learning teams and roles, machine learning organizations, best practices for machine learning product design and artificial intelligence canvas.
Course Certificate: You will be automatically issued a certificate after completion of all activities.
Course Developer: This course has been developed by GFA Consulting Group GmbH in cooperation with GIZ, Fair Forward, Digital Transformation Center Kenya and Strathmore University.
Contact Person: For questions related to the course content, please contact [fairforward@giz.de]. For technical questions, you may contact the atingi support team at help@atingi.org
Content License: CC-BY-SA
Publication Date: TBD
Recommended browser: Chrome & Edge
In this self-paced course, you will learn about the concept of Evaluating and Managing AI Projects. It will take you about 1,5 hour to complete the course and you will earn a certificate once you completed all modules.
Who is this course for?
This course has been created for everyone who wants to develop themselves more in the field of Artificial intelligence for sustainable development goals.
Ideally learners should have basic knowledge / skills in:
- AI Technologies, including a basic introduction to machine learning (ML), types of ML, Neural Networks, NLP, and Computer Vision.
- E.g. Atingi course: Introduction to Machine Learning Problem Framing: https://online.atingi.org/course/view.php?id=2575
What will you learn?
This course introduces the concepts of evaluating and managing artificial intelligence projects.
Topics Overview: Model evaluation and matrics, machine learning teams and roles, machine learning organizations, best practices for machine learning product design and artificial intelligence canvas.
Course Certificate: You will be automatically issued a certificate after completion of all activities.
Course Developer: This course has been developed by GFA Consulting Group GmbH in cooperation with GIZ, Fair Forward, Digital Transformation Center Kenya and Strathmore University.
Contact Person: For questions related to the course content, please contact [fairforward@giz.de]. For technical questions, you may contact the atingi support team at help@atingi.org
Content License: CC-BY-SA
Publication Date: TBD
Recommended browser: Chrome & Edge
This course appears as part of the following learning offerings: