Intro to Self-Driving Cars
This innovative curriculum in Australia is teaching you all the fundamentals to get you started in autonomous vehicles.
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Connecting you with industry
Connect with local industry experts including Kapsch, Holden, Mtaiq and ITS through weekly tutorials and webinars, who are all looking for the next wave of talent to address the skills shortage in these critical areas.
Career ready, real world skills
RMIT has partnered with Udacity to multiply the power of a world-leading university with the best of Silicon Valley, topped off with industry mentors from Australia's vibrant local ecosystem.
Expert industry mentors
On top of the live classes that will allow you to learn alongside your peers, we recognise the power of working with a mentor who has been there and done that. You will have scheduled 1:1 mentoring sessions at set milestones in your course. This is a chance to take stock and get further personalised support in your learning and career journey.
The cutting-edge skills you learn will be rigorously assessed and recognised by both a leading University and employers in the field. You will also be eligible for credits into selected degree programs at RMIT University.
Convenient and flexible learning
The beauty of online learning, is you can fit it in and around your work and personal schedule. RMIT experience provides structure on top of this, including support from our Course Managers and Student Success Team, interaction with peers and industry experts via a virtual classroom and weekly check ins with your mentor.
Collaborative online experience
We know our students are most successful when we combine the great advantages of flexibility with the amazing interactions that happen between peers, experts and industry employers. Join the slack channels to interact with your classmates here in Australia and get feedback from the global Udacity community.
Learn the framework that underlies a self-driving car's understanding of itself with basic algebra.
Working with Matrices
Focus on two tools which are vital to self-driving car engineers: object oriented programming and linear algebra.
Implement a matrix class
C ++ Basics
First step towards C++ expertise. The goal is translation: get a program written in Python and translate into C++
Translate Python to C++
Performance Programming in C++
Explore how to write good code that runs correctly. Low level features of C++ and other best practices.
Navigating Complex Data Structures
Algorithmic thinking and frequently used data structures.
Planning an optimal path
Visualising Calculus and Controls
Basic calculus – the mathematics of continuity. Python's most popular visualisation libraries.
Machine learning and Computer Vision
Learn how a computer sees an image and how to use machine learning to teach a computer to identify images programmatically.
Image classifier from scratch
Learn with industry experts
Get ready to meet some of the biggest names in the business.
You will be eligible for a certificate on completing this course.
We estimate that you will need a total of 50 hours to complete this course over 8 weeks.
1) A computer with good internet access
2) Slack (web or free on the App Store)
3) ZOOM Cloud Meetings (web or free on the App Store)