Assuming that you are defining the inner product on $E$ as the sum of inner products on the $E_i$, i.e. that
$$
\langle (x_1,\dots, x_n) , (z_1,\dots, z_n) \rangle = \sum_{i=1}^n \langle x_i, z_i \rangle_{E_i},
$$
then the norm induced by this inner product is:
\begin{align*}
\| (x_1,\dots, x_n)\|_E
&= \sqrt{\langle (x_1,\dots, x_n),(x_1,\dots, x_n) \rangle} \\
&= \sqrt{\sum_{i=1}^n \langle x_i, x_i \rangle_{E_i}} \\
&= \sqrt{\sum_{i=1}^n \| x_i \|^2_{E_i}}.
\end{align*}
Now, in order to show complete-ness of $E$, we need to argue that every Cauchy sequence in $E$ converges to a point in $E$. Let $\{y_m\}_{m \ge 1} := \{(x_{1m},\dots, x_{nm})\}_{m\ge 1}$ be a Cauchy sequence in $E$. Then it follows that the $i$-th 'coordinate' sequence, $\{ x_{im} \}_{m \ge 1} \subset E_i$ is Cauchy in $E_i$, and by the completeness of $E_i$, this sequence converges to an element $y^*_i \in E_i$. This holds for each $i=1,\dots,n$. Now, letting $y^* := (y^*_1, \dots, y^*_n) \in E$, we have
\begin{align*}
\| y_m - y^*\|_E
&=\sqrt{\sum_{i=1}^n \|x_{im}-y^*_{i} \|_{E_i}^2} \to 0
\end{align*}
as $m \to \infty$, which shows that any Cauchy sequence in $E$ converges to an element of $E$, and hence $E$ is complete.