- Fundamentals of Computer vision
- Advanced computer vision
- Project 1: Determining lane lines on a road
- Project 2: Advanced Lane Finding
Expert
Online
5 Months
Quick facts
particular | details | |||
---|---|---|---|---|
Collaborators
Mercedes Benz
|
Medium of instructions
English
|
Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Video and Text Based
|
Learning efforts
10 Hours Per Week
|
Course overview
The Self-Driving Car Engineer programme is an exclusive Nanodegree course at Udacity, which encompasses all the key concepts and skills required to become a self-driving car engineer. This course houses numerous industry-relevant projects and renowned experts to help you learn invaluable skills and concepts such as computer vision, deep learning, localisation, controllers, sensor fusion, automotive hardware, vehicle kinematics, and more.
The Self-Driving Car Engineer course by Udacity also provides you with the rare chance to run your code on Carla, Udacity’s very own autonomous vehicle, to see the real implementation of the skills you have learned. The course provides features such as a flexible learning module to suit your packed schedules, technical mentor support, personal career coaches, and experienced project reviewers to make your learning experience an efficient one.
Moreover, the Self-Driving Car Engineer training curriculum has been designed in partnership with tech and automotive giants such as BMW, DiDi, Uber ATG, NVIDIA, Mercedes, and McLaren. That gives the candidates an excellent opportunity to master the fundamentals while learning from the best in the industry.
The highlights
- Self-paced learning
- Tailor-made learning experience
- Technical mentors for easy doubt clearance
- Real-world projects based
- Five months course
- Industry-expert mentors
- Experienced project reviewers
Program offerings
- Content partnership with mercedes-benz
- Flexible learning
- Real-world projects
- Expert project review and feedback
- Personal career coaching
- Student community
- Resume services
- Linkedin profile review
- Github review
- Interview preparations
Course and certificate fees
The fee of the Self-Driving Car Engineer course encompasses the total course fee and GST. You can pay the entire programme fee upfront or through a monthly payment. If you choose to pay the fee upfront, you can enjoy flexible discounts on the programme fee from time to time.
Self-Driving Car Engineer Course Fee Details
Payment Method | Amount |
Self-paced training (Annually payment) | ₹246,000/year |
Self-paced training (Monthly payment) | ₹20,500/month |
certificate availability
certificate providing authority
Eligibility criteria
Education
To join the Self-Driving Car Engineer course, you must have prior knowledge of intermediate C++ (linking, memory management, classes), intermediate Python (data structures, classes), and basic Calculus (integrals, derivatives). Moreover, candidates should know introductory Linear Algebra (vectors, matrices, matrix multiplication) and basic Physics concepts, as well as know the fundamentals of Statistics (standard deviation, mean, Gaussian distribution).
What you will learn
After completing the Self-Driving Car Engineer course, you will learn the following aspects:
- Have an in-depth understanding of how self-driving cars operate.
- Know and apply deep learning and computer vision to various automotive problems, such as predicting steering angles, detecting lane lines, classifying traffic signs, and more.
- Implement sensor fusion to filter data from several sensors to perceive the vehicle’s environment.
- Know and apply localisation principles to determine the vehicle’s precise location.
- Know and apply the three stages of planning for vehicle manoeuvring.
- Build proportional-integral-derivative (PID) controllers to actuate vehicles.
- Learn programming self-driving cars to drive autonomously.
Admission details
Follow these steps to apply for the Self-Driving Car Engineer course by Udacity:
Check Udacity’s official website.
Now, locate the “Self-Driving Car Engineer” course on the website.
Click it and you will be redirected to the programme’s webpage. Look for Enrol Now button on the page.
You will be redirected to the fee details after clicking on the tab.
Choose the “Start Free Trial” and select either “Quick Checkout”. You can also avail a seven-day free trial by signing in from your Facebook or Google account.
Fill in your email to checkout and choose your preferred payment type.
Confirm and your free trial will start.
Filling the form
There is no application form for the programme. But, to receive a free seven-day trial for the Self-Driving Car Engineer programme, you sign up using your email address. Also, you can sign up with your Facebook or Google account.
The syllabus
Computer Vision
Sensor Fusion
- Sensors
- C++ checkpoint
- Kalman filters
- Extended Kalman filters
- Project- Extended Kalman Filters
Localisation
- Localisation introduction
- Motion models
- Markov localisation
- Particle filters
- Particle filter implementation
- Project- Kidnapped vehicle
Planning
- Search
- Predict
- Behaviour planning
- Generation of the trajectory
- Project- Highway driving
Control
- PID control
- Project 1- PID controller
- Project 2- Optimising LinkedIn profile to build your online presence
- Project 3- GitHub profile optimisation
How it helps
The Self-Driving Car Engineer course by Udacity strives to provide you with all the essential concepts and skills of an adept engineer for self-driving vehicles. The curriculum consists of theoretical lessons as well as hands-on projects that will help you get a real-life experience of how each tool or concept is implemented. The experts from world-renowned companies such as McLaren, Mercedes-Benz, or Uber ATG, will guide you and help you to learn the industry best practises.
The Self-Driving Car Engineer programme also offers career coaching services, where you will get personal assistance for job search, help for your professional network expansion, advice on job offer negotiations, and expert career guidance. Moreover, expert project reviewers will review your assignments for interactive feedback and tips on improving your skills. The programme’s experts will also help you in interview preparation and demystify the hiring procedures to help you better understand how to ace the hiring stage.
Instructors
Mr David Silver
Lead
Udacity
Other Bachelors, MBA
Mr Andreas Haja
Professor
Freelancer
Ph.D
Mr Aaron Brown
Instructor
Freelancer
FAQs
You will have the course access for the time period specified on your payment card. If you fail to graduate within that duration, you can continue studying via monthly payments.
The Udacity Self-Driving Car Engineer programme has nine projects, apart from the course curriculum that can be completed within five months if you dedicate 15 hours each week. The Udacity network of reviewers will review each project and provide feedback.
We have numerous free courses and Nanodegree programs to help you prepare for the Self-driving Car Engineer programme, such as – Nanodegree programs for Robotics Software, AI for Robotics, and Introduction to Self-Driving Cars.
There are no specific application or admission criteria to get enrolled. However, you must have prior knowledge in the following subjects – Intermediate C++ or Python, basics of Calculus, Linear Algebra, Statistics, and Physics.
The versions included in the Udacity Self-driving Car Engineer Programme curriculum are Keras version: 2, TensorFlow version: 1.3, ROS Kinetic, C++ version: 11, and Python version: 3.
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