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SHORT COURSE

Artificial Intelligence and Machine Learning Masterclass

Enrol now
$300.00

START DATE

 Enquire now

MODE

 Online

DURATION

 3.5 hrs

COMMITMENT

 3.5 hrs

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Artificial intelligence (AI) and machine learning are transforming our future today. Cover the key concepts with a world-leading expert and learn how you can leverage these emerging technologies in this exciting masterclass.

About this course

During this short course, you will be introduced to machine learning and the tools and algorithms that underpin it, before exploring machine learning fundamentals, current applications and how the technology is set to progress in the future. You will also become familiar with some of the tools available for tackling common machine learning problems, including data entry, spam and credit card fraud detection.

Course structure

The following topics will be covered during the course

  • Introduction to AI and machine learning
  • Examples of how these technologies are being applied today
  • Examples of where technologies are likely to go
  • Machine learning fundamentals.

Learning outcomes

By the end of the course you will be able to:

  • Define some key machine learning fundamentals
  • Apply some of the tools available for tackling common machine learning problems
  • Identify priorities for further in-depth learning in the field of data science

Enrolment conditions

Course purchase is subject to UTS Open Terms and Conditions. 

COVID-19 response 

UTS complies with latest Government health advice. Delivery of all courses complies with the UTS response to COVID-19.

Who is this course for?

The scope of AI and machine learning will continue to expand as traditionally non-tech businesses use it to improve or revolutionise their services.

This course is suitable for anyone interested in learning more about how AI and machine learning can help their industry work smarter and compete more effectively.

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Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.

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