(15 hours per week)
NEXT START DATE
4 February 2019
(Limited places available)
Launch priceLearn about payment options here
A$2,560 GST inc.
Calculus and linear algebra, statistics and probability, intermediate Python, Basic Physics
IN COLLABORATION WITH:
AUSTRALIAN INDUSTRY PARTNERS:
Connecting you with industry
Connect with local industry experts including Nvidia, HMPS, Titomic and Scott Automation 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 online 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.
Introduction to Robotics
Introduction, explore perception, decision making and actuation. Build your own project modeled after NASA Mars Rover Challenge.
Search and sample return
Manage existing ROS packages within a project, and how to write NOS Nodes of your own in Python.
Learn to control a robotic arm with six degrees of freedom to perform pick and place actions using Inverse Kinematics.
Robotic arm: pick and place
Work with 3D point cloud data to perform segmentation tasks using techniques like RANSAC and clustering.
Learn how a mechanical system can be described ibn terms of equations that govern it. How to manage behaviors of the system using a controller. Observe your controller in simulation
Learn about Convolutional Neural Networks (CNN), Fully Convolutional Networks (FCN) and Semantic Segmentation. Integrate Deep Neural Network with a simulated quadcopter drone.
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 15 hours per week to complete this course over 16 weeks.
1) A computer with good internet access. You will code primarily with Python and use the Robot Operating System (ROS) and Gazebo
2) Slack (web or free on the App Store)
3) ZOOM Cloud Meetings (web or free on the App Store)