Artificial Intelligence (AI)

This course offers a comprehensive introduction to Artificial Intelligence (AI), covering the fundamental concepts, techniques, and applications of AI. You will explore various AI approaches, including machine learning, neural networks, natural language processing, and robotics.

AI Foundations

• Understand AI Fundamentals: Learn the basic principles and history of AI, including key concepts like algorithms, data, and intelligence.
• Machine Learning: Gain insight into supervised, unsupervised, and reinforcement learning techniques.
• Neural Networks: Study the architecture of neural networks, including deep learning models, and their applications.

Advanced Topics

• Natural Language Processing (NLP): Learn how AI is applied to language understanding, translation, and generation.
• AI in Robotics: Understand the integration of AI in robotics, enabling machines to perceive, plan, and act.
• Ethical Considerations: Explore the ethical challenges and societal impacts of AI, including bias, privacy, and the future of work.