Understand basic concepts of Artificial Intelligence and its evolution Learn core techniques like machine learning and neural networks Explore real-world applications across industries Gain introductory knowledge of AI programming tools like Python Analyze ethical issues and future trends in AI
This course begins by exploring the history and evolution of AI, helping learners understand how early theoretical ideas developed into modern intelligent systems. Students are introduced to key milestones, such as rule-based systems, machine learning breakthroughs, and the emergence of deep learning technologies. By understanding this progression, learners gain insight into how AI has evolved and where it is headed in the future.
A major focus of the course is on fundamental AI concepts such as machine learning, neural networks, natural language processing, and computer vision. Students will learn how machines can be trained to recognize patterns, make decisions, and improve their performance over time using data. The course explains the difference between supervised, unsupervised, and reinforcement learning, providing practical examples to illustrate each approach. These concepts are presented in a simple and structured manner, making them accessible even to those without a technical background.
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