In recent years there have been three key developments that have helped Artificial Intelligence to become a real-world technology with practical applications. These are cheap and faster storage and processing power, better big data analytics tools and better machine learning algorithms. These developments mean we can now teach the machines instead of programming them.
This is an important paradigm shift because, until recently when we wanted to automate a task by using artificial intelligence, we had to understand it completely so that we could code it in a suite of computer programs. The more complicated the task, the harder it was to automate it. Now we can feed that data into a machine-learning algorithm which then learns how to reproduce the behaviour. Collecting the data is far faster than trying to understand and provide for every single eventuality. Which means that we’re now speeding up progress on the AI front. Just look at the progress being made by companies such as Google, Facebook and Amazon in their adoption of AI solutions.
This course is designed to prepare you for an exciting and challenging career in AI development and research.
Extra Notes
* NOTE : The Tuition Fee is subject to change Semester wise, as such for exact Tuition Fee kindly see the Website of the respective University.
* NOTE : Pathways : Students who want to pursue a Graduate Degree through a particular University but are unable to meet the university requirements for the GPA, GRE/GMAT or English Language scores, have to take up an additional academic and language support i.e. pathways in order to ensure the admit and study at the desired University.
