RoboLearn
Live Masterclass
Autonomous Car Masterclass
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Autonomous Vehicles Masterclass
Calendar
24th August, 2025
Clock
7 pm to 9 pm
Beginner
Beginner Friendly
People
100+ participants
Person 1Person 2Person 3Person 4
+50
Limited Seats

What You'll Learn

How to build a lane detection system from scratch using only raw Python + NumPy

Fundamentals of computer vision and image processing techniques used in FSD systems

Principles of trajectory generation and basic path planning for vehicle movement

Introduction to deep learning approaches used in Tesla-style perception pipelines

Benefits You Get(Worth ₹2000+)

Autonomous Mastery Guide

Comprehensive guide with all the algorithms, tools, and techniques used in self-driving cars. Your quick reference for autonomous vehicle development.

Certificate of Completion

Get a professional certificate showcasing your autonomous vehicle development skills. Perfect for your portfolio and LinkedIn profile.

Real-World Case Studies

Explore real-world AV case studies—see how Tesla, Waymo, and Cruise tackled challenges, failures, and breakthroughs in autonomous driving. Extract key lessons for your own projects.

Who Should Attend

1

Students and professionals interested in autonomous vehicle technology and computer vision.

2

Python developers looking to expand their skills into robotics and AI applications.

3

Anyone curious about how self-driving cars work and want hands-on experience.

4

Professionals wanting to understand the fundamentals of autonomous vehicle perception.

About the Masterclass

This is a free live webinar designed to give you hands-on experience with real self-driving car engineering. You'll not just learn theory — you'll build your first lane detection + path planning system from scratch using nothing but Python.

Transform Your Understanding: Go beyond theory and actually build working components of an autonomous vehicle. Learn computer vision techniques that power Tesla, Waymo, and other leading autonomous systems.

Real-World Application: Understand how lane detection, path planning, and perception systems work in actual self-driving cars. Get insights into the algorithms that make autonomous driving possible.

No Advanced Math Required: We'll focus on practical implementation using Python and NumPy. You'll learn the concepts through hands-on coding rather than complex mathematical formulas.

Instructor Meet Your Instructor
Harpreet Singh

Harpreet Singh

5+ Years Experience

10,000+ Learners

Harpreet Singh is a Full Self-Driving (FSD) & Robotics Engineer with 5+ years of expertise in AI-driven autonomy, specializing in motion planning, computer vision, and simulation, who has mentored 10,000+ students globally while founding two award-winning Robotics/AI startups recognized by Startup India and Punjab Government, combining deep technical knowledge in AI decision-making and sensor fusion with a passion for advancing intelligent systems through engineering, education and entrepreneurship.

Have More Questions?

You can email us at support@robolearn.in  or contact us on  +91 987 855 5767

Get in Touch
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