Learn the basics of Self-Driving Cars in a simplified manner | Autonomous Vehicles
What you'll learn
- Need for Self-Driving Car
- History of Self-Driving Car
- Human Brain & Artificial Neural Network
- Foundations of AI & Machine Learning [ML]
- Type of ML - Supervised , Unsupervised, Reinforcement Learning
- Role of ML in Self-Driving Car / Autonomous Vehciles
- Perception Module
- Localization Module
- Path Planning Module
- Motion Control Module
- Case Study I - Waymo System Overview
- Case Study I - Waymo Perception, Localization, Path Planning, & Motion Control Module
Requirements
- Basic Understanding of Artificial Intelligence: A fundamental grasp of AI principles will be beneficial. This includes familiarity with basic AI concepts and terminology. Don't worry if you're not an expert – a general awareness is sufficient to get started.
- Math Fundamentals: A comfort with numbers, especially basic algebra and statistics, will help you understand the tech behind the wheel.
- Google Colab Access: Not a must-have right now, but having this tool in your kit will be handy for later sections
- Enthusiasm for Autonomous Vehicles: Your interest and passion for self-driving cars are your best assets.
- Open Mind and Curiosity: Stay curious and open to new ideas – they're the fuel for innovation in this field.
Description
Zero to Hero: Self-Driving Car Foundational Course 2024 (Case Studies Included)
Learn the Fundamentals of Self-Driving Cars in an Easy-to-Understand Format
Welcome to our Self-Driving Cars Starter Course. This course is designed to provide a straightforward introduction to the world of autonomous vehicles. You'll gain insights into the key components and technologies behind Self-Driving Cars through clear explanations, diagrams, and practical case studies.
Here's what the course covers:
Need for Self-Driving Cars
History and evolution of autonomous vehicle technology
An overview of how Self-Driving Cars work
Basics of AI and Neural Networks in relation to Self-Driving Cars
Different types of Machine Learning Techniques and their application in autonomous vehicles industry
Sensor technologies and their role in Self-Driving Cars
Fundamental concepts in Perception, Localization, Path Planning, and Motion Control for autonomous vehicles
Detailed case studies from leading companies like Waymo
This course is continuously updated to reflect the latest advancements in AI and autonomous vehicle technology. It's an ideal starting point for anyone interested in understanding the fundamentals of AI and Self-Driving Cars, whether for personal interest, career development, or academic pursuits.
Enroll now to begin your journey into the exciting world of Self-Driving Cars and AI. This course is your gateway to understanding and engaging with one of the most innovative fields in technology today.
We look forward to helping you start your journey in Self-Driving Cars!
Who this course is for:
- For those looking for beginner-friendly introduction to Self-Driving Cars / Autonomous Vehicles
- For those looking to pivot their career to the realm of Self-Driving Car / Autonomous Vehicles
- For those who want build a self-driving car
- For those curious to understand how Self-Driving Cars like Waymo, Tesla, and Zoox work
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