Sail(AI User)
A sophisticated AI User has a solid grasp on where tha AI/ML based systems are being used successfully nowadays, where are the limitations, and what is the role of data in such systems.
Course Description:
In this course, learners develop their knowledge and skills to become informed users of modern artificial intelligence (AI) and machine learning (ML) based systems. They gain knowledge and insight into AI/ML domains, AI/ML application capabilities, how AI/ML applications achieve their objectives, and potential AI/ML limitations. Learners engage with concepts and practice hands-on skills to operate various AI/ML-powered systems in relevant application areas. Learners will be able to identify long-term growing trends in the deployment of AI/ML-enabled automation, current capabilities / limitations, and typical sources of error. Additional topics include the role data plays in AI/ML-powered applications, how to validate and troubleshoot such applications, how to identify when an AI/ML system fails, how to identify inherent biases and issues with fairness within available data and mitigate their effects during decision-making, as well as the impact of computing devices and environments AI/ML systems run on.
Prerequisites:
- Introduction to Computing
Duration:
- 8 modules
Learning Objectives
Learners who complete the AI User course should be able to:
- Interact with different types of AI systems and recognize their capabilities and limitations.
- Explain the effects of data quality, quantity, and representativeness on the performance of ML systems.
- Inspect, validate, and critically assess the outputs of AI systems.
- Analyze plausible AI system outputs from different areas, such as language technologies and computer vision, including state-of-the-art generative models.
- Discuss the advantages and disadvantages of different computing devices and environments for the deployment of AI systems.
- Explain ethical and responsible practices in AI, promoting informed and conscientious use of AI technology.
