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Sebastian Thrun, Andy Brown, Jake Lussier, Raffaello D'Andrea, Angela Schoellig, Nicholas Roy, and Sergei Lupashin

What's inside

Syllabus

Start off with some tips on interviewing for an autonomous systems role, then watch how candidates approach their interview questions. Finish off by practicing some questions of your own!

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides tips on interviewing for an autonomous systems role, which is valuable for learners seeking jobs in this field
Features real-world examples of candidates answering interview questions, which can help learners prepare for their own interviews
Offers an opportunity for learners to practice answering interview questions, which can boost their confidence and preparation
Taught by instructors who are recognized for their work in the field of autonomous systems, such as Sebastian Thrun and Nicholas Roy

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Autonomous Systems Interview with these activities:
Review basic autonomous systems concepts
Ensure a strong comprehension of foundational principles before starting the course
Browse courses on Autonomous Systems
Show steps
  • Revisit textbooks or online resources on autonomous systems
  • Solve practice problems or complete coding exercises
Show all one activities

Career center

Learners who complete Autonomous Systems Interview will develop knowledge and skills that may be useful to these careers:
Autonomous Systems Engineer
Autonomous Systems Engineers are responsible for designing, developing, and testing autonomous systems. This course will provide you with the knowledge and skills needed to excel in this role. The interview tips and candidate examples will help you prepare for the interview process, while the practice questions will test your understanding of the key concepts.
AI Engineer
Artificial Intelligence Engineers are pivotal in the development and implementation of autonomous systems. This course will help build a foundation in the concepts and techniques necessary for success in this role. Through the interview tips and candidate examples, you will develop an understanding of how to present your skills and knowledge in a way that resonates with potential employers.
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course will provide you with the knowledge and skills needed to be successful in this role. The interview tips and candidate examples will help you prepare for the interview process, while the practice questions will test your understanding of the key concepts.
Robotics Engineer
Robotics Engineers specialize in the design, development, and testing of robots. This course will provide you with the foundational knowledge and skills needed to succeed in this field. The interview tips and candidate examples will help you present yourself confidently in interviews, while the practice questions will solidify your mastery of the key concepts.
Software Engineer
Software Engineers are responsible for designing, developing, and testing software. While this course is not directly focused on software engineering, the concepts and techniques covered are highly applicable to this field. The interview tips and candidate examples will provide you with valuable insights into the interview process, while the practice questions will help you refine your technical skills.
Data Scientist
Data Scientists use data to solve problems and make informed decisions. While this course does not focus specifically on data science, the concepts and techniques covered are highly relevant to this field. The interview tips and candidate examples will help you prepare for interviews, while the practice questions will test your understanding of the underlying principles.
Product Manager
Product Managers are responsible for defining, developing, and launching products. While this course does not directly focus on product management, the concepts and techniques covered are highly applicable to this field. The interview tips and candidate examples will provide you with valuable insights into the interview process, while the practice questions will help you refine your analytical and communication skills.
Project Manager
Project Managers plan, execute, and close projects. While this course does not directly focus on project management, the concepts and techniques covered are highly applicable to this field. The interview tips and candidate examples will provide you with valuable insights into the interview process, while the practice questions will help you refine your planning, execution, and communication skills.
Business Analyst
Business Analysts gather, analyze, and interpret data to identify and solve business problems. While this course does not directly focus on business analysis, the concepts and techniques covered are highly applicable to this field. The interview tips and candidate examples will provide you with valuable insights into the interview process, while the practice questions will help you refine your analytical and communication skills.
Consultant
Consultants provide advice and support to businesses on a variety of topics. While this course does not directly focus on consulting, the concepts and techniques covered are highly applicable to this field. The interview tips and candidate examples will provide you with valuable insights into the interview process, while the practice questions will help you refine your analytical and communication skills.
Data Analyst
Data Analysts collect, analyze, and interpret data to identify trends and patterns. While this course does not directly focus on data analysis, the concepts and techniques covered are highly applicable to this field. The interview tips and candidate examples will provide you with valuable insights into the interview process, while the practice questions will help you refine your analytical skills.
Statistician
Statisticians collect, analyze, and interpret data to make inferences about populations. While this course does not directly focus on statistics, the concepts and techniques covered are highly applicable to this field. The interview tips and candidate examples will provide you with valuable insights into the interview process, while the practice questions will help you refine your analytical skills.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve business problems. While this course does not directly focus on operations research, the concepts and techniques covered are highly applicable to this field. The interview tips and candidate examples will provide you with valuable insights into the interview process, while the practice questions will help you refine your analytical and problem-solving skills.
Financial Analyst
Financial Analysts provide advice and support to businesses on financial matters. While this course does not directly focus on financial analysis, the concepts and techniques covered are highly applicable to this field. The interview tips and candidate examples will provide you with valuable insights into the interview process, while the practice questions will help you refine your analytical and communication skills.
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. While this course does not directly focus on actuarial science, the concepts and techniques covered are highly applicable to this field. The interview tips and candidate examples will provide you with valuable insights into the interview process, while the practice questions will help you refine your analytical and problem-solving skills.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Autonomous Systems Interview.
This textbook provides a comprehensive introduction to the theory and practice of autonomous systems, covering topics such as perception, planning, and control. It would be a valuable resource for students and researchers interested in learning more about the field of autonomous systems.
This textbook provides a comprehensive introduction to the theory and practice of robot modeling and control. It would be a valuable resource for students and researchers interested in learning more about the field of robotics.
This textbook provides a comprehensive introduction to the theory and practice of planning algorithms. It would be a valuable resource for students and researchers interested in learning more about the field of planning.
This textbook provides a comprehensive introduction to the theory and practice of robotics. It would be a valuable resource for students and researchers interested in learning more about the field of robotics.
This textbook provides a comprehensive introduction to the theory and practice of autonomous mobile robots. It would be a valuable resource for students and researchers interested in learning more about the field of autonomous mobile robots.
This textbook provides a comprehensive introduction to the theory and practice of probabilistic robotics. It would be a valuable resource for students and researchers interested in learning more about the field of probabilistic robotics.
This textbook provides a comprehensive introduction to the theory and practice of planning and control of robot motion. It would be a valuable resource for students and researchers interested in learning more about the field of planning and control of robot motion.
This textbook provides a comprehensive introduction to the theory and practice of computer vision. It would be a valuable resource for students and researchers interested in learning more about the field of computer vision.
This textbook provides a comprehensive introduction to the theory and practice of deep learning for computer vision. It would be a valuable resource for students and researchers interested in learning more about the field of deep learning for computer vision.
This textbook provides a comprehensive introduction to the theory and practice of natural language processing with Python. It would be a valuable resource for students and researchers interested in learning more about the field of natural language processing.

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