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![Building a Self-Controlled Car - Free Udemy Course [100% Off]](/_next/image?url=https%3A%2F%2Fimg-c.udemycdn.com%2Fcourse%2F750x422%2F6751255_abf1_3.jpg&w=3840&q=75)
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• Implement real-time object detection using YOLO and OpenCV• Integrate IoT sensors (ultrasonic) for autonomous navigation• Integrate live inference models on Arduino board • Design control systems for steering, braking, and obstacle avoidance• Build and test a mini self-driving car with Python-based control logicAutonomous vehicles represent a transformative leap in transportation, driven by the convergence of computer vision, IoT, and real-time inference technologies. At the heart of this innovation lies computer vision, which enables vehicles to "see" and interpret their surroundings using cameras and deep learning models. Through techniques like object detection, lane tracking, and semantic segmentation, vehicles can identify pedestrians, traffic signs, and other vehicles with remarkable accuracy. Complementing this is the Internet of Things (IoT), which connects a network of sensors—ultrasonic (UV sensors) and ESP32 camera and Arduino, that continuously stream data to the vehicle’s onboard systems. IoT not only enhances situational awareness but also enables vehicle-to-everything (V2X) communication, allowing cars to interact with infrastructure and other vehicles for coordinated movement. For educators and developers, mastering these systems opens doors to innovation in smart cities, robotics, and industrial automation. This course empowers learners to explore that future hands-on, combining theory with practical projects that bring autonomous systems to life.
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This comprehensive free online course on Udemy covers everything you need to become proficient in building self-driving cars using cutting-edge AI and IoT technologies. Whether you're a beginner or looking to advance your skills, this free Udemy course with certificate provides hands-on training and practical knowledge you can apply immediately.
This free certification course is perfect for anyone looking to break into the autonomous vehicle and IoT industry or enhance their existing skills. Here's who will benefit most from this no-cost training opportunity:
Learn from Dommaraju Sireesha, an experienced IoT and AI professional with a proven track record in autonomous systems development. With years of industry expertise and thousands of students trained, Instructor Sireesha brings real-world insights and practical knowledge to every lesson. Their teaching style combines theoretical foundations with hands-on projects, ensuring you gain both the understanding and the practical skills needed to succeed in this exciting field.
With an impressive 5.0 rating and 10 students already enrolled, this Udemy free course has proven its value. The course includes 4 comprehensive lessons, all taught in English. What sets this free online course apart is the unique combination of cutting-edge AI technologies, affordable hardware components, and step-by-step guidance that makes building autonomous systems accessible to anyone with basic programming knowledge. Upon completion, you'll receive a certificate to showcase on LinkedIn and your resume, plus with mobile access, you can learn anytime, anywhere—perfect for busy professionals. This Development course in the Data Science niche is regularly updated and includes lifetime access, meaning you can revisit materials whenever you need a refresher.
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This limited-time offer expires on December 18, 2025 at 17:08 UTC. After this date, the course returns to its regular $54.99. We highly recommend enrolling immediately to secure your free access. The coupon has limited redemptions available.
Absolutely! Upon completing all course requirements, you'll receive an official Udemy certificate of completion. This certificate can be downloaded, shared on LinkedIn, and added to your resume to showcase your new skills to employers.
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Upon completion of all video lectures, Udemy will issue a certificate of completion.
Once you enroll with the coupon, you get full lifetime access to the materials.


