| Expiry period |
Lifetime |
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| Made in |
English |
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| Last updated at |
Fri Oct 2024 |
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| Level |
Beginner |
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| Total lectures |
11 |
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| Total quizzes |
0 |
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| Total duration |
00:00:00.000000 Hours |
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| Total enrolment |
0 |
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| Number of reviews |
0 |
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| Short description |
This course provides a comprehensive introduction to Artificial Intelligence (AI), exploring fundamental concepts, techniques, and real-world applications. Designed for beginners, it covers essential topics like machine learning, neural networks, and AI ethics, enabling students to grasp the core ideas shaping the future of technology. |
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| Outcomes |
- Students will grasp fundamental AI concepts, including machine learning, neural networks, natural language processing, and computer vision.
- Students will gain practical experience in building simple AI models and algorithms using Python and popular AI libraries.
- Students will explore real-world applications of AI in various industries such as healthcare, finance, robotics, and autonomous systems.
- Students will be able to critically evaluate the ethical implications of AI, including bias, privacy concerns, and the societal impact of automation.
- Students will develop problem-solving skills to address challenges in AI and learn how to apply AI techniques to everyday tasks and business solutions.
- Upon completion, students will be ready to dive deeper into specialized AI fields like deep learning, reinforcement learning, and AI research.
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| Requirements |
- Students should have a basic understanding of programming, preferably in Python, as well as a foundational knowledge of high school-level mathematics (algebra and probability) to fully benefit from the course.
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