You can start from here https://machinelearningmastery.com/sequence-classification-lstm-recurrent-neural-networks-python-keras/

LSTM is great tool for time series prediction depending on the question you're asking. If your question requires the model to remember something from the start of the time series to predict future steps LSTM is the way to go in RNN. If you're interested to use Tensorflow for your work here is a great example of how to use LSTM RNN for time series.

https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/23_Time-Series-Prediction.ipynb

https://www.youtube.com/watch?v=6f67zrH-_IE

hey Abdullah A. Fahad thanks for your answer.