Duration
5 days
Course Outline
Module
Time
Day One
Understanding Big Picture
9:00am
Environment for Experiments
11:00am
Lunch Break
12:30pm
Key Statistics
1:30pm
Data Visualization
3:30pm
End of Day One
5:00pm
Day Two
Acquiring & Preparing Data
9:00am
Feature Engineering
11:30am
Lunch Break
12:30pm
Continue Feature Engineering
1:30pm
Machine Learning using Scikit Learn
2:30pm
End of Day Two
5:00pm
Day Three
Supervised Machine Learning
9:00am
Un-Supervised Machine Learning
11:30am
Lunch Break
12:30pm
Continue Un-Supervised Machine Learning
1:30pm
Introduction to Deep Learning
2:30pm
End of Day Three
5:00pm
Day Four
Artificial Neural Network
9:00am
TensorFlow API
11:30am
Lunch Break
12:30pm
Continue TensorFlow API
1:30pm
Convolutional Neural Networks (CNN)
2:30pm
End of Day Four
5:00pm
Day Five
Recurrent Neural Networks (RNN)
9:00am
Natural Language Processing
11:30am
Lunch Break
12:30pm
Continue Natural Language Processing
1:30pm
Conversational AI
2:30pm
End of Day Five
5:00pm
Programme scope, delivery arrangements and suitability are confirmed during enquiry.