No prior AI knowledge required – This is an entry-level class.
Basic computer literacy – Comfort with using a computer, browser, and online tools.
Familiarity with mathematics at high school level – Understanding of simple algebra and probability will help, though not mandatory.
Curiosity & willingness to learn – An open mindset to explore new technologies.
Device & Internet access – A laptop/desktop or tablet with stable internet to access course materials, videos, and assignments.
Optional (but useful): A Google account or GitHub account for trying out free AI demos and cloud-based notebooks.
Artificial Intelligence (AI) is about creating systems that can think, learn, and make decisions like humans. This course introduces the essentials: what AI is, how it works, and where it’s used — from chatbots and recommendation engines to healthcare and finance. Learners will grasp core concepts like machine learning, neural networks, and generative AI, along with the opportunities and challenges of applying AI responsibly.
By the end of this course, learners will be able to:
Understand AI Fundamentals – Clearly explain what Artificial Intelligence is, its types, and how it differs from traditional computing.
Recognize AI Applications – Identify common real-world uses of AI across domains like healthcare, finance, education, and supply chain.
Grasp Core Concepts – Demonstrate basic understanding of machine learning, neural networks, natural language processing, and generative AI.
Differentiate AI Approaches – Compare rule-based systems with data-driven learning models.
Analyze Benefits & Risks – Discuss opportunities, challenges, and ethical considerations of AI adoption.
Apply Beginner-Level Skills – Explore simple AI demos, tools, and frameworks to see how AI systems are built and tested.
Build a Foundation for Advanced Learning – Be prepared to progress into deeper courses on machine learning, data science, and advanced AI applications.
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AI Basics
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