Course
IBM SkillsBuild - Ethical AI Applications of Deep Learning and Computer Vision
Self-paced
Full course description
Objective
Introduce advanced concepts for adopting AI in the enterprise
Badge
Earn IBM's Ethical AI Applications of Deep Learning and Computer Vision badge
Audience
This course is only available to people affiliated with Illinois Tech
Credit
None, this is a not-for-credit course
Prerequisites
Complete the Building Trustworthy AI Enterprise Solutions course
Scope
- Machine learning
- Deep learning
- Visual recognition
- AI ethics
- Real world use-cases
Learning outcomes
- Explore machine learning algorithms and develop a deep understanding of ML techniques
- Understand deep learning and its industry applications
- Understand computer vision and its relationship with deep learning
- Explore computer vision industry implementations through simulations and experiments
- Hands-on experience with IBM Watson Visual Recognition to classify and train deep learning models
- Explore an end-to-end use case, where a leading law firm assists a traffic monitoring entity on the ethical adoption of computer vision technology; role-play the personas involved in the scenario, including Chief Policy Officer, AI ethics consultant, AI developers, and AI ethics official
- Identify the sociocultural impact of visual recognition technology, and embrace an ethical roadmap for adoption which leads to benefits for society