Structuring Machine Learning Projects

Course Overview

Skills and Knowledge Acquired:
This course will provide learners with the skills and knowledge to build a successful machine learning project. Learners will gain the ability to diagnose errors in a machine learning system, prioritize strategies for reducing errors, understand complex ML settings, apply end-to-end learning, transfer learning, and multi-task learning. Additionally, learners will gain an understanding of the capabilities, challenges, and consequences of deep learning, and the ability to participate in the development of leading-edge AI technology.


Contribution to Professional Growth:
This course contributes to professional growth by providing learners with the knowledge and skills to apply machine learning to their work. It also provides learners with the opportunity to gain experience in decision-making as a machine learning project leader. Through this course, learners will gain an understanding of complex ML settings, such as mismatched training and test sets, and will be able to diagnose errors in a machine learning system. Additionally, learners will be able to prioritize strategies for reducing errors, apply end-to-end learning, transfer learning, and multi-task learning. By the end of the course, learners will have the skills to set the direction for an AI team and participate in the development of leading-edge AI technology.


Suitability for Further Education:
This course is suitable for preparing further education as it provides learners with the knowledge and skills to apply machine learning to their work, level up their technical career, and take the definitive step in the world of AI. It also provides learners with the opportunity to gain experience building and shipping many deep learning products, as well as to diagnose errors in a machine learning system, prioritize strategies for reducing errors, and understand complex ML settings.