Why Learn AI?

AI will serve as a foundational technology for every industry, much like electricity. — Andrew Ng, co-founder and head of Google Brain

Just as electricity revolutionized the world during the Industrial Age, AI is transforming the world in the Information Age.

Similarly, as computers taught people to type, the rise of AI now calls for everyone to learn how to interact with it.

The productivity gap between those who can use AI effectively and those who cannot will only continue to grow.

Whether AI replaces you or empowers you depends on how you choose to engage with it.

In this course, you'll explore real AI examples and practice implementing them through Python coding exercises.

You’ll also get familiar with data analysis libraries like NumPy, Pandas, and Matplotlib, as well as deep learning libraries such as TensorFlow and Keras.

If you’re new to Python, you might find the hands-on sessions a bit challenging at first. In that case, we recommend starting with the Introduction to Python Coding course.

If you're more interested in the core concepts behind how AI works than in writing code, you're welcome to focus on the theory and just experiment with the code at your own pace.

In the practice screen on the right, try drawing numbers from 0 to 9 in the box and see how the AI recognizes them. 😊