Sebastian Thrun
8.2/10
(Our Score)
Product is rated as #207 in category Machine Learning
You’ll first apply computer vision and deep learning to automotive problems, including detecting lane lines, predicting steering angles, and more. Next, you’ll learn sensor fusion, which you’ll use to filter data from an array of sensors in order to perceive the environment. Then, you’ll work with a team to program Carla, Udacity’s real self–driving car.
Instructor Details
Votes: 0
Courses : 4
Specification: Become a Self-Driving Car Engineer
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12 reviews for Become a Self-Driving Car Engineer
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| Price | $1074 |
|---|---|
| Provider | |
| Duration | 360 hours |
| Year | 2020 |
| Level | Expert |
| Language | English |
| Certificate | Yes |
Become a Self-Driving Car Engineer
$1,074.00
Farhan A. –
This Nanodegree is an excellent introduction to autonomous driving. It has a mix of classical machine learning, deep learning and robotics and every lesson is taught with a programming quiz and every module has a programming project that involves building some component of a typical self–driving car software stack. As someone with a computer science background with some robotics experience, I enjoyed every bit of this Nanodegree. I was awestruck to find out that many of the techniques taught in the Nanodegree have been used by Google self–driving car and also being used by the latest breed of autonomous vehicles from Mercedes to Baidu. I’d like to see a sequel with more advanced content from computer vision, deep learning and control perhaps centred around a state–of–the–art simulator like Carla or Apollo that includes working with LIDAR and RADAR data, programming the CAN bus, 3D segmentation, object tracking, simulation and more.
Krishna K. –
I had been an enthusiast and have been passively following the progress of deep learning and self driving cars, although i did take the advanced AI course (self driving cars) course with Udacity, it was much more theoretical. I finally had some time to take this course, i am blown away by how well thought out this course is, from course content to projects that are very practical. I can honestly say that i was enjoying the process of working through the projects as they were very practical, i feel like i have a much deeper understanding of how self driving cars work, i can navigate through this space by making sense of published papers in this space. I would also add that this is the best online class experience i had having taken several online courses. Can’t wait to start term 2. Thank you for making this process such a joy.
Tim H. –
I had no idea online training could be so thorough and rigorous. I haven’t worked this hard since graduate school! Enjoyed every minute of it. Also would like to mention the level of professionalism and complexity of the web content. The material was well laid out and all of the mechanics of user interaction worked superbly – no flaws. Same for all of the downloads, project code, libraries, etc. – always worked. The level of the instructors was outstanding, the very best in their field. Could not get this level of instructors at a single top–level university. The staff was excellent as well. Always experienced prompt responses. The project reviews where next day, very thorough, and helpful – not just a quick cursory glance. All in all, a great experience.
Anu A. –
The SDC–ND program has step–by–step guide towards understanding each concept. They let you code even a small concept, this led to a clear understanding of big concepts Eg. gradient descent. I totally agree until we code every damn part, we cannot have a good grasp of NN concepts. Thank you guys for building a material that gives clear understanding of concepts through code. Also, I recommend not to see the solutions until you come up with your own because mostly your struggle through the code will help you to learn these concepts. If you watch given solutions, it will look obvious to you, & you will miss the stupid error fixes which will be a huge bottleneck when you code a big project. This way you might progress slow but the learning curve will be steep.
Shreyas R. –
This is a one of a kind nanodegree from giving brain to the car to giving it eyes and senses , I’m learning it all ! I specifically like the part that many industry experts teach the module giving a perfect insight how real self driving car works. It’s a tough nanodegree and requires full focus but once you start the course you’ll obviously be so excited to learn new techniques. David Silver , Sebastian Thrun and the entire team at Udacity has done a commendable job. The best course I’ve ever taken and yeah , It also helped me get a job since the teaching are not only specific to SDC but also to application of Computer Vision , Deep Learning and Sensor controls.
Vishal R. –
I am deeply proud to be the part of this amazing nano–degree and learning about Self–Driving Cars (SDC) in depth. By the completion of my term 1, I already got 2 job interviews for Deep Learning and Computer Vision profile in SDC space. Credit of this entire goes to my amazing instructor David Silver as well as all the other instructors of this program including entire team of SDCND and Udacity. This is an amazing journey and I am falling in love with every bit of this program. Definitely better than conventional learning and totally worth time and energy. Everything about Self–Driving Car Nano–degree program is Stupendous! Proud to be an Udacian.
Farhan A. –
This Nanodegree is an excellent introduction to autonomous driving. It has a mix of classical machine learning, deep learning and robotics and every lesson is taught with a programming quiz and every module has a programming project that involves building some component of a typical self driving car software stack. As someone with a computer science background with some robotics experience, I enjoyed every bit of this Nanodegree. I was awestruck to find out that many of the techniques taught in the Nanodegree have been used by Google self driving car and also being used by the latest breed of autonomous vehicles from Mercedes to Baidu. I’d like to see a sequel with more advanced content from computer vision, deep learning and control perhaps centred around a state of the art simulator like Carla or Apollo that includes working with LIDAR and RADAR data, programming the CAN bus, 3D segmentation, object tracking, simulation and more.
Krishna K. –
I had been an enthusiast and have been passively following the progress of deep learning and self driving cars, although i did take the advanced AI course (self driving cars) course with Udacity, it was much more theoretical. I finally had some time to take this course, i am blown away by how well thought out this course is, from course content to projects that are very practical. I can honestly say that i was enjoying the process of working through the projects as they were very practical, i feel like i have a much deeper understanding of how self driving cars work, i can navigate through this space by making sense of published papers in this space. I would also add that this is the best online class experience i had having taken several online courses. Can’t wait to start term 2. Thank you for making this process such a joy.
Tim H. –
I had no idea online training could be so thorough and rigorous. I haven’t worked this hard since graduate school! Enjoyed every minute of it. Also would like to mention the level of professionalism and complexity of the web content. The material was well laid out and all of the mechanics of user interaction worked superbly no flaws. Same for all of the downloads, project code, libraries, etc. always worked. The level of the instructors was outstanding, the very best in their field. Could not get this level of instructors at a single top level university. The staff was excellent as well. Always experienced prompt responses. The project reviews where next day, very thorough, and helpful not just a quick cursory glance. All in all, a great experience.
Anu A. –
The SDC ND program has step by step guide towards understanding each concept. They let you code even a small concept, this led to a clear understanding of big concepts Eg. gradient descent. I totally agree until we code every damn part, we cannot have a good grasp of NN concepts. Thank you guys for building a material that gives clear understanding of concepts through code. Also, I recommend not to see the solutions until you come up with your own because mostly your struggle through the code will help you to learn these concepts. If you watch given solutions, it will look obvious to you, & you will miss the stupid error fixes which will be a huge bottleneck when you code a big project. This way you might progress slow but the learning curve will be steep.
Shreyas R. –
This is a one of a kind nanodegree from giving brain to the car to giving it eyes and senses , I’m learning it all ! I specifically like the part that many industry experts teach the module giving a perfect insight how real self driving car works. It’s a tough nanodegree and requires full focus but once you start the course you’ll obviously be so excited to learn new techniques. David Silver , Sebastian Thrun and the entire team at Udacity has done a commendable job. The best course I’ve ever taken and yeah , It also helped me get a job since the teaching are not only specific to SDC but also to application of Computer Vision , Deep Learning and Sensor controls.
Vishal R. –
I am deeply proud to be the part of this amazing nano degree and learning about Self Driving Cars (SDC) in depth. By the completion of my term 1, I already got 2 job interviews for Deep Learning and Computer Vision profile in SDC space. Credit of this entire goes to my amazing instructor David Silver as well as all the other instructors of this program including entire team of SDCND and Udacity. This is an amazing journey and I am falling in love with every bit of this program. Definitely better than conventional learning and totally worth time and energy. Everything about Self Driving Car Nano degree program is Stupendous! Proud to be an Udacian.