Artificial intelligence (AI) is no longer a theme in science fiction.
It is being integrated into our daily life as a result of the high adoption of intelligent appliances.
Smartphones can be considered as the engine of driving the popularization of AI.
The various capabilities of smartphones allow more sophisticated interactions between human and machine (HMI).
IPA is a software application.
It assists the user to perform tasks ranging from information search, location services, remote activation, appointment management, health data monitoring to online purchase.
The power of IPA lies in its ability of recognizing and dealing with user commands in natural languages.
IPA can also record the user input to improve its performance and accuracy over time.
The proliferation of smartphones, tablets and mobile applications serve as the ideal platform and medium for IPA.
IPA is usually embedded in major operating systems of smartphones and other intelligent computing devices.
SIRI / Cortana / Alexa / M are some of the popular application based on IPA.
In this course you will be exposed to how to think when designing an IPA and by the end of the course you have your very own personal IPA on your PC !!! Enroll today !
This training is best suited for IT, data management, and analytics professionals looking to gain expertise in AI and ML including: Software Developers and Architects, Analytics Professionals, Senior IT professionals, Testing and Mainframe Professionals, Data Management Professionals, Business Intelligence Professionals, Project Managers, Aspiring Data Scientists, Graduates looking to begin a career in Big Data Analytics and Data Science or AI
- You need to have intermediate to advanced Python experience. You are familiar with object-oriented programming. You can write nested for loops and can read and understand code written by others.
-Intermediate statistics background. You are familiar with probability.
-Intermediate knowledge of machine learning techniques. You can describe backpropagation, and have seen a few examples of neural network architecture (preferrably a recurrent neural network or a long short-term memory network).
-You have seen or worked with a deep learning framework like TensorFlow, Keras, or PyTorch before.
- Introduction and Try out
- Understand IPA and ecosystem
- Overview of Technology behind IPA
- Build your first IPA
- Test your IPA