Artificial Intelligence & Machine Learning Course
Syllabus
Course Overview
This course introduces the foundational concepts of
Artificial Intelligence (AI) and Machine Learning (ML). It covers theory,
algorithms, and real-world applications, giving students the knowledge to
understand and implement AI and ML solutions. Students will learn about
supervised, unsupervised, and reinforcement learning, as well as AI frameworks
and tools.
Course Objectives
By the end of the course, students will:
- Understand
key AI and ML concepts.
- Be
familiar with supervised, unsupervised, and reinforcement learning.
- Gain
hands-on experience with ML algorithms.
- Learn
to evaluate model performance and tune hyperparameters.
- Understand
ethical considerations in AI/ML.
AI ML
