Nanodegree Program

Become A Robotics Software Engineer

Master advanced robotics software engineering skills, and gain hands-on experience developing solutions that solve challenging robotics and AI problems.

FREE CLASSROOM PREVIEW!
  • Time
    Two 4-month terms

    Study 15 hrs/week and complete in 8 mo.

  • Classroom Opens
    July 24, 2018
  • Estimated Salary
    $89.7k to $129k

    Based on US job data

In Collaboration With
  • Nvidia
  • Electric Movement
undefined

Why Take This Nanodegree Program?

In this program, you’ll gain hands-on experience developing robotics solutions as you cover topics such as: Robot Operating System (ROS), Kinematics, Control, Simultaneous Localization and Mapping (SLAM), and more. You’ll learn cutting-edge techniques like Deep Reinforcement Learning through our partnership with NVIDIA's Deep Learning Institute. You’ll master the key skills necessary to become a software engineer in the transformational field of robotics and applied artificial intelligence.


Why Take This Nanodegree Program?

By 2019, spending on robotics and related services will hit
$135.4 B

World-Class Curriculum Partners

World-Class Curriculum Partners

Udacity has joined forces with NVIDIA and Electric Movement to create a groundbreaking learning experience that features world-class curriculum. You’ll master cutting-edge skills and techniques, gain hands-on experience, and build unique projects focused on the most important concepts and topics in the field of robotics.

Career-Ready Skills

Career-Ready Skills

Graduates of this program will emerge fully prepared to join innovative robotics teams, and develop pioneering robotics solutions. You’ll be perfectly positioned to take advantage of rapidly-increasing demand for robotics talent, and the projects you build in this program will become part of a portfolio that demonstrates your mastery of career-ready robotics skills.

What You Will Learn

Download Syllabus
Term 1

ROS Essentials, Perception, and Control

Begin your exploration into the world of robotics software with a practical, system-focused approach to programming robots using the ROS framework. Leverage classical mechanics and modern deep learning techniques to implement the key robotic functions of perception and control.

See details

4 months to complete

Term 2

Localization, Mapping, and Navigation

In this term, you’ll study curriculum developed in partnership with NVIDIA's Deep Learning Institute as you learn to leverage probabilistic and deep reinforcement learning algorithms to solve problems of localization, mapping, and navigation.

See details

4 months to complete

““The NVIDIA Deep Learning Institute and Udacity share a common vision—to provide students with hands-on training and challenging curriculum to accelerate their careers. We’re working with Udacity to build a world-class AI and deep learning program so that students can go on to become leading developers, researchers and academics in a variety of fields.””

— — Greg Estes, Vice President of Developer Programs, NVIDIA


World-Class Nanodegree Programs

Jobs of Tomorrow Start Here

Learn with the best

Sebastian Thrun
Sebastian Thrun

Udacity, President

As the founder and president of Udacity, Sebastian’s mission is to democratize education. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass and more.

Dana Sheahen
Dana Sheahen

Udacity, Curriculum Lead

Dana is an electrical engineer with a Masters in Computer Science from Georgia Tech. Her work experience includes software development for embedded systems in the Automotive Group at Motorola, where she was awarded a patent for an onboard operating system.

Ryan Keenan
Ryan Keenan

Udacity, Curriculum Lead

Ryan has a PhD in Astrophysics from the University of Wisconsin-Madison. He is also a lead instructor for the Self-Driving Car and Flying Car Nanodegree programs.

Anthony Navarro
Anthony Navarro

Udacity, Product Lead

Anthony is a US Army combat veteran with an M.S. in Computer Engineering from Colorado State University. Prior to being a Product Lead at Udacity, he was a Senior Software Engineer at Lockheed Martin in their Autonomous Systems R&D division.

Julia Chernushevich
Julia Chernushevich

Udacity, Instructor

Julia is an instructor of Mechatronics Engineering at the University of Waterloo. Her previous work experiences include designing electric vehicles for underground mines and leading a prestigious STEM enrichment program for gifted high-school students.

Karim Chamaa
Karim Chamaa

Udacity, Instructor

Karim started his early career as a Mechanical Engineer. He earned his M.S. in Mechatronics and Robotics Engineering from NYU. His specialties include Kinematics, Control, and Electronics.

NVIDIA
NVIDIA

NVIDIA Team

NVIDIA is a company built upon great minds and groundbreaking research. GPU deep learning has ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.

Electric Movement
Electric Movement

Electric Movement Team

Electric Movement is a robotics engineering firm that brings to our program invaluable insights about real-world robotics applications, and deep, market-vetted expertise in ROS, robotics, automation, embedded systems, and agile development.

Student Reviews

4.4

(109)

5 stars
72
66.1%
4 stars
20
18.3%
3 stars
6
5.5%
2 stars
6
5.5%
1 stars
5
4.6%
Guo L.

I have learned quite a lot about robotics knowledge and technology, and it exactly matched with my expectation.

Rohit Wesley T.

it is quite intense and really gets me more interested in the subject while keeping the pace without being overwhelming . thanks

Salabson I.

This program is awesome. It is one of the best decisions I have ever made. Nanodegree has given most of the skills I needed. Thumb up.

Adam C.

This has been an excellent and challenging program. I have felt pushed to my highest ability in meeting the requirements for the projects. I have learned an immense amount and feel ready to continue learning on the job.

Tianzhi Y.

Great journey from the start, hope it never ends.

TERM 1
Robotics Software
$1199 USD

total

Using ROS, learn to solve robotics problems around perception, control, and deep learning.

TERM 2
Advanced Robotics Software
$1199 USD

total

Learn to apply SLAM and reinforcement learning techniques for solving robotics problems.

Program Details

    Program Overview - Why Should I Take this Program?
  • Why should I enroll?

    Demand for software engineers with the right skills in robotics far exceeds the current supply of qualified talent. This makes this an ideal time to enter this field, and this groundbreaking program represents a unique opportunity to develop in-demand skills.

    Expert instructors and detailed project reviews are among hallmarks of this Nanodegree program, and in collaboration with the NVIDIA Deep Learning Institute—one of the most exciting and innovative companies in the world—we have built an unrivalled curriculum that offers a cutting-edge learning experience.

    You will graduate from this Nanodegree program having completed several hands-on robotics projects in simulation that will serve as portfolio pieces demonstrating acquired skills. These skills will enable you to pursue a rewarding career in the robotics field.

    Over the course of the Nanodegree program, you'll also have the opportunity to learn about robotics hardware such as the NVIDIA Jetson TX2 Developer Kit.  Eligible students will also have access to a special education discount on the Jetson TX2 through our collaboration with NVIDIA.

    For anyone seeking to launch or advance a career as a Robotics Software Engineer, and who wishes to be a part of the incredible world of robotics, this is the ideal program.

  • What jobs will this program prepare me for?

    As a Robotics Software Engineer, you'll be equipped to bring value to a wide array of industries.

    Robotics Software Engineers opportunities might include:

    • developing pick and place robotics systems for advanced manufacturing;
    • developing the next surgical robot for the healthcare industry;
    • building the next form of package delivery either on the ground or in the air.
  • How do I know if this program is right for me?
    A career in robotics is exciting presenting changing challenges and new approaches constantly. If you want to work in an area where you get to see your solutions come to life and solve some of the world’s most difficult problems, a career in robotics is right for you! The Robotics Software Engineer Nanodegree program is here to provide you a great entry into the world of robotics and jumpstart your career in the field. You will gain the knowledge to create robotic systems in simulation and have the opportunity to turn those projects into real-world platforms if you purchase an NVIDIA TX2.
  • How is the Robotics Software Engineer Nanodegree program different from your Machine Learning Engineer Nanodegree program or your Self-Driving Car Engineer Nanodegree program?

    The Robotics Software Engineer Nanodegree program provides an introduction to software and artificial intelligence as applied to robotics. The areas we focus on are perception, localization, path planning, deep learning, reinforcement learning, and control. These are taught using the Robot Operating System (ROS) framework. All of the techniques required to complete the projects in the Robotics Software Engineer Nanodegree program (including machine learning) are taught as part of the program.

    The Machine Learning Engineer Nanodegree program is the most general of the three programs. It offers a great foundation, and is an excellent choice for anyone pursuing a career in a field where machine learning techniques are used. However, the curriculum is not as advanced or specialized as the other two programs.

    The Self-Driving Car Engineer Nanodegree program focuses entirely on a specialized application of robotics—it uses robotics concepts and applies them to a self-driving car. If your primary interest is in the application of robotics, machine learning, and artificial intelligence to autonomous vehicles, then this is the program for you. However, if you want a broader and more comprehensive robotics curriculum, with an emphasis on software engineering, then the Robotics Software Engineer Nanodegree program is your best option.

    Note: The Machine Learning Engineer program is not a prerequisite for either the Self-Driving Car or Robotics Software Engineer programs, but it may be beneficial to some students to complete this program first, depending on your existing knowledge and experience.

    Enrollment and Admission
  • Do I need to apply? What are the admission criteria?
    No. This Nanodegree program accepts all applicants regardless of experience and specific background.
  • What are the prerequisites for enrollment?

    To succeed in this Nanodegree program, you need to have significant experience with:

    • Calculus and Linear Algebra
    • Statistics and Probability
    • Intermediate Python
    • Unix/Linux Command Line Basics
    • Basic Physics (Newtonian Mechanics)
    • English Skills

    Background in the following is recommended but not required:

    • Intermediate C++
    • Programming for ROS
    • Machine Learning
  • If I do not meet the requirements to enroll, what should I do?

    We have a number of Nanodegree programs and free courses that can help you prepare, including:

    • Machine Learning Engineer Nanodegree program, by Udacity
    • AI for Robotics, by Udacity
    • Programming Foundations with Python, by Udacity
    • C++ tutorial, by Sololearn
    • Linux Command Line Basics, by Udacity
    • Statistics and Probability, by Khan Academy
    • Linear Algebra, by Khan Academy
    • Multivariable Calculus, by Khan Academy
    • ROS Tutorials
    Tuition and Term of Program
  • How is this Nanodegree program structured?

    The program is comprised of two (2) terms of four (4) months with fixed start and end dates. Students must successfully complete all assigned projects by the end date for each term to graduate from the full Nanodegree program. There are either 4 or 5 projects per Term, which give you an opportunity to apply the skills you've learned.

    To graduate, students must successfully complete the required projects, which give you the opportunity to apply and demonstrate new skills that you learn in the lessons. Each project will be reviewed by the Udacity reviewer network and platform. Feedback will be provided, and if you do not pass the project, you will be asked to resubmit the project until it passes.

  • How long is this Nanodegree program?

    Access to this Nanodegree program runs for the period noted in the Term length section above.
    See the Terms of Use and FAQs for other policies around the terms of access to our Nanodegree programs.

  • Can I switch my start date? Can I get a refund?

    Please see the Udacity Nanodegree program FAQs found here for policies on enrollment in our programs.

  • How much does the program cost?

    The full program consists of two 4-month long Terms at a cost of USD $1199 and $1199, for a total program cost of USD $2398.Payment is due before the term begins.

  • I have graduated from the Robotics Software Engineer Nanodegree program but I want to keep learning. Where should I go from here?
    Both our Self-Driving Car and Flying Car Nanodegree programs address specific areas of robotics and autonomous systems. If you want to continue your education either on the ground or in the air, take one of these exciting Nanodegree programs next!
    Software and Hardware - What Do I Need for This Program?
  • What software and versions will I need in this program?
    For this Nanodegree program you will use the Robot Operating System (ROS) and Gazebo. You wl code primarily with Python in Term 1 and C++ in Term 2. These platforms and languages are freely available. There will also be various packages utilized, so an active internet connection is needed to download these. The projects are designed to run on a Linux operating system, which can be accommodated with the use of a virtual machine on other types of systems. Term 2 also features the use of a the new GPU-enabled Udacity Workspace within your browser for most of the projects and labs.
  • What special hardware will I need in this program?

    The core of this Nanodegree program focuses on robotics applications in software. You can master the  skills, and complete every project, while focusing entirely on software, and working in simulation.

    We are also excited that our collaboration with NVIDIA DLI makes it possible for eligible Term 2 students to receive an education discount that can be applied to the purchase of an NVIDIA Jetson TX2 Developer Kit! Eligible students are encouraged to take advantage of this special offer, as this embedded supercomputing platform will enable you to take classroom projects (and your own personal projects) out of simulation and bring them into real-world scenarios.

Robotic Software Engineer

FREE CLASSROOM PREVIEW!