The AI by Hand Deep Learning Math Certificate is awarded to learners who have completed the Deep Learning Math Workbook in its entirety—over 100 pages of original exercises designed by Prof. Tom Yeh, Associate Professor of Computer Science at the University of Colorado Boulder.

To earn this certificate, participants must solve every problem by hand, without automated tools, developing a deep, intuitive mastery of the mathematics that power modern AI systems.

This rigorous workbook covers foundational concepts step-by-step:

1. Dot Product
2. Matrix Multiplication
3. Linear Layer
4. Activation
5. Artificial Neuron
6. Batch
7. Connection
8. Hidden Layer
9. Deep
10. Wide
11. Softmax
12. Gradient

By completing the program, certificate holders demonstrate perseverance, precision, and true mathematical fluency—skills that set them apart in the world of AI and deep learning.

Why It Matters?

In a time when many rely on prebuilt tools or code generation, the AI by Hand approach trains the mind to see what’s happening inside the black box—ensuring the knowledge sticks and can be applied in real-world AI engineering challenges.