I don't know where you got the idea that "the expansion isn't really helpful unless my matrix is nilpotent". Aren't infinite series useful?
The Taylor's series expansion is very useful for many kinds of matrices. It is almost trivial to do, for example for diagonal matrices.
If, for example
[tex]A= \begin{bmatrix}\lambda_1 & 0 & 0 \\ 0 & \lambda_2 & 0 \\ 0 & 0 & \lambda_3\end{bmatrix}[/tex]
for any n,
[tex]A^n= \begin{bmatrix}\lambda_1^n & 0 & 0 \\ 0 & \lambda_2^n & 0 \\ 0 & 0 & \lambda_3^n\end{bmatrix}[/tex]
and so
[tex]e^A= \sum \frac{1}{n!} A^n= \begin{bmatrix}\sum \frac{1}{n!}\lambda_1^n & 0 & 0 \\ 0 & \sum \frac{1}{n!}\lambda_2^n & 0 \\ 0 & 0 & \sum\frac{1}{n!}\end{bmatrix}= \begin{bmatrix}e^{\lambda_1} & 0 & 0 \\ 0 & e^{\lambda_2} & 0 \\ 0 & 0 & e^{\lambda_3}\end{bmatrix}[/tex]
Many matrices are diagonalizable. If [itex]A= P^{-1}DP[/itex], where D is diagonal and P an invertible matrix (i.e. is A is "similar" to a diagona matrix), then it is easy to show that
[tex]A^n= P^{-1}D^nP[/tex]
and so
[tex]e^A= P^{-1}e^DP[/tex]
and [itex]e^D[/itex] is, as above, simple.
If a matrix is not diagonalizable it has a "Jordan Normal form" for which the exponential expansion is more complcated but still doable.
In any case, for the matrix you give
[tex]A= \begin{bmatrix}0 & 1 \\ 1 & 0\end{bmatrix}[/tex]
is symmetric and so diagonalizable.
For this particular matrix the expansion is very simple. Did you at least calculate [itex]A^2[/itex]? It turns out to be easy to write [itex]A^n[/itex] for any n. But I would recommend diagonaizing A.