The AI & ML (Artificial Intelligence and Machine Learning) syllabus encompasses foundational concepts and practical skills in the field. It typically includes topics such as supervised and unsupervised learning, neural networks, deep learning, natural language processing, computer vision, and reinforcement learning.
The aim is to equip learners with the knowledge and abilities to create AI models, apply them to real-world scenarios, and understand the ethical implications in AI and ML development and deployment.