Duration
3 days
What you'll learn
In this course on artificial intelligence, participants will be provided an overview of AI, and explained on how it can be used for an effective and efficient decision making for an organization. The course will be a mixture of engaging short lectures with examples and use cases to help participants know about Tensorflow, spark and Deep learning in the exciting field of Artificial Intelligence.
Target Audience
Data Engineers
Data Scientists
Machine Learning Engineers
Integration Engineers
Architects
Prerequisites
Participants should preferably have some hands-on experience on Python
Day 1
9:00am - 10:30am
Introduction to Deep Learning
Introduction to Machine Learning?
What is Deep Learning?
Relationship between Deep Learning and Machine Learning
10:30am - 10:45am Morning Break
10:45am - 12:30pm
Deep Learning Use cases
Concepts and Terms
12:30pm - 1:30pm Lunch Break
1:30pm - 3:30pm
How to implement Deep Learning?
Various Libraries, Pros & Cons
3:30pm - 3:45pm Afternoon Break
3:45pm - 5:00pm
Artificial Neural Network
Introduction to Neural Networks
The Neuron
Introduction to Perceptron
Day 2
9:00am - 10:30am
The Activation Function
Neural Network Activation Functions
Basic Neural Nets
10:30am - 10:45am Morning Break
10:45am - 12:30pm
Concepts
Gradient Descent
Stochastic Gradient Descent
12:30pm - 1:30pm Lunch Break
1:30pm - 3:30pm
TensorFlow
What is TensorFlow?
Installing TensorFlow
TensorFlow Graphs
3:30pm - 3:45pm Afternoon Break
3:45pm - 5:00pm
Variables and Placeholders
Activation Functions
Day 3
9:00am - 10:30am
Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN)
CNN History
Understanding CNNs
10:30am - 10:45am Morning Break
10:45am - 12:30pm
CNN Application
Introduction to Optimization
Hyperparameter tuning
12:30pm - 1:30pm Lunch Break
1:30pm - 3:30pm
Regularization
Recurrent Neural Networks (RNNs)
Application of RNNs
3:30pm - 3:45pm Afternoon Break
3:45pm - 5:00pm
Modern Architecture
Understand modern architectures of RNNs: LSTM, GRU
Programme scope, delivery arrangements and suitability are confirmed during enquiry.