Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Graduation! - Intro to Self-Driving Cars with these activities:

Complete coding exercises related to self-driving car topics

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Reinforce understanding of core concepts in self-driving cars through hands-on coding practice.

Browse courses on Computer Vision

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Access online coding platforms or textbooks that provide exercises on computer vision, machine learning, and control theory.
Choose exercises that align with the topics covered in the course.
Implement solutions to the exercises using appropriate programming languages and tools.

Follow tutorials on advanced topics in self-driving car technology

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Expand knowledge beyond the course curriculum by exploring specialized topics through tutorials.

Browse courses on Sensor Fusion

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Identify specific areas of self-driving car technology that you want to learn more about.
Search for reputable online tutorials or courses that cover these topics.
Follow the tutorials, complete exercises, and engage in discussions.

Write a blog post or article on a self-driving car-related topic

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Deepen understanding by explaining and synthesizing concepts through writing.

Browse courses on Self Driving Cars

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Choose a specific topic within the field of self-driving cars that you are interested in.
Research and gather information from credible sources.
Organize your ideas and create an outline for your writing.
Write a draft and revise it for clarity, accuracy, and flow.
Publish your article or blog post on an appropriate platform.

Four other activities

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Provide guidance and support to fellow learners in a self-driving car community

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Reinforce learning by teaching and assisting others, while building a network.

Browse courses on Self Driving Cars

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Join online forums or communities dedicated to self-driving cars.
Identify questions or discussions where you can provide insights.
Share your knowledge, answer questions, and engage in meaningful discussions.

Attend workshops or webinars on cutting-edge developments in self-driving car technology

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Stay up-to-date with the latest research and industry trends by attending workshops.

Browse courses on Self Driving Cars

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Identify relevant workshops or webinars that align with your interests.
Register for the events and actively participate in the sessions.
Network with experts and exchange ideas.

Participate in hackathons or competitions related to self-driving car development

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Challenge yourself and apply your skills to solve real-world problems in self-driving car technology.

Browse courses on Self Driving Cars

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Research and identify hackathons or competitions that focus on self-driving cars.
Form a team or collaborate with others who share your interests.
Develop a solution to the competition's challenge.
Submit your project and present it to the judges.
Attend the award ceremony and receive feedback on your work.

Develop a prototype or simulation related to a specific aspect of self-driving car technology

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Apply knowledge to a practical project, showcasing your understanding and skills.

Browse courses on Self Driving Cars

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Identify a specific aspect of self-driving car technology that you want to focus on.
Research and gather information about the topic.
Design and develop a prototype or simulation using appropriate tools and software.
Test and evaluate your prototype or simulation.
Document your project and share your findings.

Career center

Learners who complete Graduation! - Intro to Self-Driving Cars will develop knowledge and skills that may be useful to these careers:

Robotics Engineer

As a Robotics Engineer, you will design, build, and test robots for various applications, including self-driving cars. Udacity's Intro to Self-Driving Cars course provides a solid foundation for this role, as it covers the fundamentals of autonomous vehicles and their components. By understanding the technology behind self-driving cars, you can apply your knowledge to other robotic systems and contribute to the advancement of the field.

See salaries and explore the career path for Robotics Engineer

Software Engineer

Software Engineers play a crucial role in the development of self-driving cars by designing and implementing software that enables these vehicles to operate autonomously. Udacity's Intro to Self-Driving Cars course provides a valuable overview of the software systems used in self-driving cars. This knowledge can help you build a strong foundation for a career as a Software Engineer in the autonomous vehicle industry.

See salaries and explore the career path for Software Engineer

Data Scientist

Data Scientists analyze and interpret data to extract meaningful insights. In the field of self-driving cars, Data Scientists play a vital role in developing algorithms for object detection, path planning, and decision-making. Udacity's Intro to Self-Driving Cars course provides an introduction to the data science concepts and techniques used in self-driving car development.

See salaries and explore the career path for Data Scientist

Systems Engineer

Systems Engineers are responsible for designing, integrating, and testing complex systems, such as self-driving cars. Udacity's Intro to Self-Driving Cars course provides a comprehensive overview of the systems engineering process and the challenges involved in developing autonomous vehicles.

See salaries and explore the career path for Systems Engineer

Mechanical Engineer

Mechanical Engineers design and develop the physical components of self-driving cars, such as the chassis, suspension, and powertrain. Udacity's Intro to Self-Driving Cars course provides a basic understanding of the mechanical systems used in autonomous vehicles, which can be beneficial for Mechanical Engineers who want to enter this field.

See salaries and explore the career path for Mechanical Engineer

Electrical Engineer

Electrical Engineers design and develop the electrical systems used in self-driving cars, such as the wiring, sensors, and actuators. Udacity's Intro to Self-Driving Cars course provides an overview of the electrical systems used in autonomous vehicles, which can be useful for Electrical Engineers who want to specialize in this field.

See salaries and explore the career path for Electrical Engineer

Product Manager

Product Managers are responsible for defining and managing the development of products, including self-driving cars. Udacity's Intro to Self-Driving Cars course provides a broad understanding of the product development process and the challenges involved in bringing self-driving cars to market.

See salaries and explore the career path for Product Manager

Technical Writer

Technical Writers create and maintain technical documentation, such as user manuals and training materials, for self-driving cars. Udacity's Intro to Self-Driving Cars course provides a basic understanding of self-driving car technology, which can be valuable for Technical Writers who want to specialize in this field.

See salaries and explore the career path for Technical Writer

Quality Assurance Analyst

Quality Assurance Analysts test and evaluate self-driving cars to ensure that they meet safety and performance standards. Udacity's Intro to Self-Driving Cars course provides a general understanding of the testing and validation processes used in the development of autonomous vehicles.

See salaries and explore the career path for Quality Assurance Analyst

Sales Engineer

Sales Engineers provide technical expertise to customers and help them select the right self-driving car products and services. Udacity's Intro to Self-Driving Cars course provides a basic overview of self-driving car technology, which can be beneficial for Sales Engineers who want to specialize in this field.

See salaries and explore the career path for Sales Engineer

Marketing Manager

Marketing Managers develop and execute marketing campaigns for self-driving cars. Udacity's Intro to Self-Driving Cars course provides a basic understanding of self-driving car technology and the potential market for these vehicles.

See salaries and explore the career path for Marketing Manager

Business Analyst

Business Analysts analyze business needs and develop solutions to improve efficiency and productivity. Udacity's Intro to Self-Driving Cars course provides a general understanding of the self-driving car industry and the business challenges involved in bringing these vehicles to market.

See salaries and explore the career path for Business Analyst

Project Manager

Project Managers plan and execute projects, including the development of self-driving cars. Udacity's Intro to Self-Driving Cars course provides a basic understanding of the project management process and the challenges involved in managing complex technology projects.

See salaries and explore the career path for Project Manager

Consultant

Consultants provide advice and expertise to organizations on a variety of topics, including self-driving cars. Udacity's Intro to Self-Driving Cars course provides a general understanding of self-driving car technology and the potential impact of these vehicles on various industries.

See salaries and explore the career path for Consultant

Entrepreneur

Entrepreneurs start and run their own businesses, often developing new products or services. Udacity's Intro to Self-Driving Cars course provides a basic understanding of the self-driving car industry and the potential business opportunities in this field.

See salaries and explore the career path for Entrepreneur

Reading list

We've selected four 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 Graduation! - Intro to Self-Driving Cars.

Deep Learning

Save

Provides a comprehensive overview of deep learning, including its history, theory, and applications. It valuable resource for anyone who wants to learn more about this rapidly growing field.

Deep Learning

Paperback

$$$

Deep Learning (Adaptive Computation and Machine...

Hardcover

$$$

Deep Learning (Adaptive Computation and Machine...

Kindle Edition

$$$

Computer Vision

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Provides a comprehensive overview of computer vision, covering a wide range of topics from image processing to object recognition. It valuable resource for anyone who wants to learn more about computer vision and how to apply it to real-world problems.

Robotics, Vision and Control

Save

Provides a comprehensive overview of robotics, covering a wide range of topics from kinematics to control. It valuable resource for anyone who wants to learn more about robotics and how to apply it to real-world problems.

Robotics, Vision and Control: Fundamental...

Paperback

Robotics, Vision and Control: Fundamental...

Kindle Edition

Space Ethics

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Examines the ethical and social implications of self-driving cars and other autonomous vehicles. Raises questions about liability, privacy, and the impact on society.

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Time

15 hours

Level

Intermediate

Via

Udacity

Instructors

Andy Brown

Andrew Paster

Anthony Navarro

Tarin Ziyaee

Elecia White

Cezanne Camacho

Sebastian Thrun

Language

English

Good to know

Develops skills that are highly relevant to industry

Leads learners to courses that build foundational skills and knowledge

Taught by Andrew Paster, a leader in the self-driving cars field

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