Learn the basics of AI, including its history, definitions, and core principles. Understand the distinctions between narrow AI and artificial general intelligence.

Explore the fundamentals of supervised, unsupervised, and reinforcement learning. Gain insight into algorithms and their practical applications.

Delve into neural networks and their architecture. Learn about key techniques such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

Understand how machines process and interpret human language. Explore applications like chatbots, sentiment analysis, and text summarization.

Examine AI’s role in image recognition, object detection, and facial recognition. Discover how AI powers innovations in computer vision.

Learn about AI’s integration into robotics, enabling autonomous systems such as drones and self-driving cars.

Discuss the ethical challenges and societal impact of AI, including bias, transparency, and accountability.

Explore emerging technologies, evolving terminologies, and trends shaping the future of artificial intelligence.