Transfer Learning

Summary
In this self-paced course, you will learn about the concept of Transfer Learning. 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 Machine Learning. 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.
• Management and Evaluation of AI Projects, including an introduction to AI teams, skills required in AI projects, and the AI project life cycle.

What will you learn?
This course introduces the concepts of Transfer Learning definitions, different forms of Transfer Learning, the Transfer Learning Process and Multi-task Learning. Additionally, you will learn how to apply Transfer Learning on a specific use case.

How much time will you need?
It will take you around 1,5 hours to complete this course.

Topics Overview: Transfer Learning Definitions; Forms of Transfer Learning; The Transfer Learning Process; Multi-task Learning; Transfer Learning Use Case.

Course Certificate: You will be automatically issued a certificate after completion of all activities and passing the final exam.

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: 01.03.2024

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