5. Why consider taking it—or not?

Q: 5. Why consider taking it—or not?

Reasons to take it : Taught by Andrew Ng with clear explanations and hands-on practice. Students typically praise the approachable teaching style. Covers essential ML foundations—useful for starting careers or understanding AI workflows. Limitations : Some learners find certain modules shallow or desire more real-world application opportunities. It’s a strong start, but not enough alone for full mastery—a portfolio or deeper projects (e.g., Kaggle) are crucial next steps.

Reasons to take it:
Taught by Andrew Ng with clear explanations and hands-on practice. Students typically praise the approachable teaching style.
Covers essential ML foundations—useful for starting careers or understanding AI workflows.

Limitations:
Some learners find certain modules shallow or desire more real-world application opportunities.
It’s a strong start, but not enough alone for full mastery—a portfolio or deeper projects (e.g., Kaggle) are crucial next steps.

5. Why consider taking it—or not?

5. Why consider taking it—or not?

4. How long does it take and how flexible is it?

1. What is the Indigenous Canada course all about?