
Artificial Intelligence – Foundational Level
Course Curriculum
These are all the Foundational level modules from the Artificial Intelligence domain as listed in the document. Each module has a duration of 1 hour.
- AI fundamentals (Course Code: G001)
- Basics of Machine Learning and Natural Language Processing (NLP) (Course Code: G002)
- AI vs. Human Intelligence: Overview (Course Code: G003)
- Introduction to Everyday AI Applications (Course Code: G004)
- Basics of Algorithms, Data, and Models in AI (Course Code: G005)
- Introduction to Ethical Considerations in AI (Course Code: G006)
- Overview of Common AI Frameworks (Course Code: G012)
- Introduction to No-Code/Low-Code AI Tools (Course Code: G013)
- Overview of Cloud-Based AI Services (Course Code: G014)
- Basics of Model Training and Deployment Workflows (Course Code: G015)
- Introduction to Pre-Trained Models and APIs (Course Code: G016)
- Introduction to Responsible AI Tools Usage (Course Code: G017)
- Introduction to AI Across Disciplines (Course Code: G018)
- Basics of Interdisciplinary Teams and Collaboration (Course Code: G019)
- Introduction to Research Trends in AI (Course Code: G020)
- Basics of Literature Review in AI Research (Course Code: G021)
- Formulating Simple Research Questions (Course Code: G022)
- Introduction to Research Methodologies (Course Code: G023)
- Basics of Ethical and Responsible Research Proposals (Course Code: G024)
- Introduction to Career Opportunities in AI (Course Code: G025)