- Understand core AI and ML concepts – Grasp the definitions, history, and real-world applications of AI and ML.
- Differentiate types of learning – Identify and explain supervised, unsupervised, and reinforcement learning.
- Understand AI subfields – Get introduced to natural language processing (NLP), computer vision, and robotics.
- Ethical awareness – Recognise ethical considerations in AI, including bias, fairness, and transparency.
- Societal impact – Understand the influences and responsibilities of AI practitioners.
Congratulations and welcome to your Machine Learning & Artificial Intelligence learning journey!