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Understanding Artificial Intelligence:
- Defining AI and its significance in the modern technological landscape.
- Exploring the history and evolution of AI.
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Types of Artificial Intelligence:
- Overview of narrow or weak AI vs. general or strong AI.
- Understanding supervised, unsupervised, and reinforcement learning.
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Machine Learning Fundamentals:
- Introduction to machine learning principles.
- Exploring supervised learning, unsupervised learning, and reinforcement learning algorithms.
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Neural Networks and Deep Learning:
- Understanding the basics of neural networks.
- Exploring deep learning architectures and their applications.
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Natural Language Processing (NLP) and Computer Vision:
- Overview of NLP and its applications, including chatbots and language translation.
- Introduction to computer vision and image recognition.
