Course overview
This course will provide students with introductory knowledge and skills in the application of modern AI tools and techniques. The course introduces Python, a key language for developing modern AI applications. The course then demonstrates how to run, modify and build Python implementations of current AI technologies including, standard and new machine learning and deep learning tools. The course will have a strong emphasis how to best make use of the large range of materials, and tutorials that are released with new AI frameworks. In particular, the course will develop a high-level understanding of the key concepts and terminology allowing students to make use of new frameworks as they emerge. Assessment can include practical exercises, workshops, case studies and a final exam.
Course learning outcomes
- Develop a broad understanding of machine learning (ML) and artificial intelligence (AI) concepts.
- Acquire knowledge about commonly used ML and AI algorithms and their applications.
- Gain proficiency in Python for basic ML and AI tasks.
- Effectively communicate AI and ML concepts in both written and oral forms.