Step into the world of AutoPilotClass, where you'll learn to master the creation of self-driving cars. Our in-depth online course will provide you with the expertise to design and engineer autonomous vehicles from scratch. Join us and be a part of shaping the future of transportation today.
At AutoPilotClass, we take a hands-on, project-based approach to teaching self-driving car development. Rather than just learning theory, our students get real-world engineering experience by:
Building their own autonomous vehicles from the ground up, using components like Raspberry Pis, sensors and actuators.
Presenting their work to the AutoPilotClass community and getting feedback to iteratively improve.
Deploying computer vision and AI models they've trained to allow their cars to navigate test tracks.
Graduating with a portfolio of projects demonstrating their skills to potential employers.
Collaborating with mentors to solve challenges faced in their projects, gaining insights from industry experts.
By giving students practical skills in robotics, machine learning and vehicle engineering, we're preparing the next generation of mobility leaders.
Hanna Mykytevych, Founder
10+ years experience in computer vision and robotics
Led development of object detection systems
Michael W., Co Founder
Julia K., Director
Early employee at Tesla Autopilot program
Expert in deep learning, simulation and validation
Pioneer in autonomous vehicle policy and regulation
Advises top leaders on safety and ethics
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Sarah L., CTO at Anthropic
AI safety researcher and founder
Helps students navigate career options in the field
David J., Autonomous Driving Curriculum Lead
Chris M., Engineering Manager at Zoox
Former NASA robotics engineer
Expert advisor on simulation-based learning
Passionate about increasing diversity in tech
Connects students to internship and job opportunities
←
→
Michael W., Co Founder
Early employee at Tesla Autopilot program
Expert in deep learning, simulation and validation
Hanna Mykytevych, Founder
10+ years experience in computer vision and robotics
Led development of object detection systems
Julia K., Director
Pioneer in autonomous vehicle policy and regulation
Advises top leaders on safety and ethics
Sarah L., CTO at Anthropic
AI safety researcher and founder
Helps students navigate career options in the field
David J., Autonomous Driving Curriculum Lead
Former NASA robotics engineer
Expert advisor on simulation-based learning
Chris M., Engineering Manager at Zoox
Passionate about increasing diversity in tech
Connects students to internship and job opportunities
Upon completing the AutoPilotClass program, you will receive:
An Official Certificate of Completion from AutoPilotClass Academy
A Verified Profile on the AutoPilotClass Job Board
Your certificate and alumni benefits demonstrate to employers your qualification and differentiate you from other candidates. They serve as your passport to exciting new opportunities in the autonomous tech industry.
An Official Certificate of Completion from AutoPilotClass Academy
Verifies your mastery of key autonomous vehicle skills
Acts as proof of your hands-on training and project experience
Be discoverable to top employers seeking our graduates
Get priority access to job listings matching your skills
Connect with industry professionals and fellow graduates
Stay up-to-date on career opportunities and events
We stand fully behind our 30-Day Money Back Guarantee. If within 30 days you're unsatisfied, contact us for a full refund - no questions asked. For 30 days, the choice is yours with no risk. Join us today fully assured.
An Official Certificate of Completion from AutoPilotClass Academy
Understanding the key components of self-driving systems
Exploring sensors, actuators, and control systems
Hands-on projects in designing autonomous navigation algorithms
Week 3-4: Computer Vision for Self-Driving Cars
Principles of computer vision in the context of autonomous vehicles
Training and deploying machine learning models for object detection, lane tracking, and traffic sign recognition
Real-world data sets and practical applications
Week 5-6: Deep Learning for Autonomous Systems
Introduction to deep learning techniques for self-driving technology
Building and training neural networks for various autonomous driving tasks
Implementing deep learning models in autonomous vehicle prototypes
Week 7-8: Capstone Project
Bringing together all learned concepts to build a self-driving car prototype
Hands-on experience in testing and refining autonomous vehicle functionalities
Presenting the completed project and receiving feedback from instructors
End-to-End Skills Development
• Build full-stack expertise in computer vision, robotics, machine
Real-World Projects
• Design and construct autonomous vehicles from the ground up to gain hands-on experience.
Expert Mentorship
• Receive guidance and feedback from industry veterans through monthly 1-on-1 video sessions.
Career Preparation
• Graduate with a portfolio of projects to showcase your skills to employers in the self-driving sector.
Marina S., Class of 2023
"The hands-on projects have given me such a strong portfolio that I've already received multiple job offers. The mentors are incredibly knowledgeable and supportive - they've helped me every step of the way."
Ivan L., Class of 2022
Anton S., Class of 2020
"I had no prior experience in self-driving cars before enrolling. Now I'm interning at Argo AI thanks to the skills I gained. The curriculum is top-notch - it really prepares you to hit the ground running in this industry.
"I was skeptical about learning online, but the hands-on projects and mentor support made it an amazing experience. Now I'm working at Waymo doing software integration. I'm so glad I took this course to break into autonomous vehicles."
A: All you need is a laptop or desktop computer and a reliable internet connection. We recommend at least 8GB RAM and an Intel i5 or AMD Ryzen 3 processor or higher.
A: No prior coding experience is required. The course is designed to take students from zero to job-ready. However, some computer literacy is assumed.
A: Most students complete all lessons and projects within 6-12 months on a part-time basis. You can also opt for an intensive full-time track that takes 3-6 months.
A: Lessons are delivered through self-paced online videos and reading materials. You can access them 24/7 from anywhere via our learning portal.
A: Our career services include resume/interview coaching, job boards, networking events, and alumni mentorship to help graduates transition into autonomous vehicle roles.