
Artificial Intelligence (AI) courses provide students with knowledge and skills to design and develop intelligent systems. Key components typically include:
- Foundational Concepts: Introduction to AI, its history, and applications.
- Programming Basics: Typically taught using Python for implementing AI algorithms [2].
- Machine Learning: Core topics include supervised, unsupervised, and reinforcement learning, along with applications in prediction and decision-making [2].
- Data Science: Techniques for handling, analyzing, and visualizing data, which forms the basis for training AI models [4].
- Robotics and Perception: Focus on robotic motion planning and decision-making for real-world tasks like autonomous vehicles [3].
- Advanced Topics: Neural networks, deep learning, natural language processing, and computer vision.
- Ethics and Real-World Applications: Addressing ethical concerns and practical AI use cases in industries such as healthcare, finance, and autonomous systems [3].
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