The statement is true.
If \(A\) is invertible, then its determinant is non-zero, and the characteristic polynomial of \(A\) is non-zero. This implies that zero is not an eigenvalue of \(A\).
Conversely, if zero is not an eigenvalue of \(A\), then the dimension of the eigenspace associated with zero is zero. This means that the columns of \(A\) are linearly independent, so the matrix \(A\) has a non-zero determinant, and is thus invertible.