Harness the power of neural networks to solve complex business problems and be part of the upcoming wave of deep learning experts shaping the future with AI.
Delivered to you in partnership with Udacity.
Harness the power of neural networks to solve complex business problems and be part of the upcoming wave of deep learning experts shaping the future with AI.
Delivered to you in partnership with Udacity.
Study mode
Online
Teaming up with the best in industry, our Future Skills courses lean into the future of work to deliver the best in structured, mentor-supported, 100% online education.
Deep learning is a method in artificial intelligence (AI) that teaches computers to process data in a way that is inspired by the human brain. Deep learning models can recognise complex patterns in pictures, text, sounds, and other data to produce accurate insights and predictions (AWS). Throughout this course, you will be provided with a strong introduction to the world of artificial intelligence. Delve into cutting-edge subjects like neural networks, convolutional neural networks, recurrent neural networks and generative adversarial networks.
Throughout the program, you will also have the opportunity to work on projects using PyTorch, further enhancing your practical knowledge. Be part of the upcoming wave of deep learning experts who will shape an AI-driven future.
This Deep Learning course will be delivered to you in partnership with Udacity, meaning you'll have access to both Udacity's learning and career services as well as RMIT Online's course enablement support through our Learner Success team.
This Deep Learning course is ideal for:
By the end of this course, you'll be able to:
During this course, you will use your newly acquired Deep Learning skills to complete 4 projects.
Your first project will look at developing a handwritten digit Classifyer with PyTourch. Your second project focuses on landmark classification and tagging for social media. Your third project is a LSTM Seq2Seq Chatbot and your final project is a Face Generation project where you will build and train a custom GAN architecture on the CelebA dataset.
After completing this course, you’ll walk away with an RMIT credential which can be validated, recognised, and shared on social media platforms.
For Deep Learning, students should have experience working with and/or knowledge of the following topics:
RMIT Online and Udacity partnership
RMIT Online
Our learner success team are here to help you with 1:1 coaching, tips on how to successfully study online, and any questions or concerns you may have.
Udacity
Get personalised feedback on your projects as well as practical tips and industry best practice from Udacity’s mentor team.
Get a world-class education and transform your career.
Develop skills that have been validated by industry, while getting credentialed by a world-leading university.
You'll gain knowledge and practical skills from renowned industry partners who are at the forefront of their field.
Advance your career while you study. RMIT Online courses let you balance work, study and life commitments.
Be guided by a network of industry experts and peers, and supported by our dedicated success team.
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RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.