Car barn labour education requirements

1. Identify Damaged Car Parts with Vertex AutoML Vision

This is a self-paced lab that takes place in the Google Cloud console. Vertex AI brings together the Google Cloud services for building ML under one, unified UI and API. In Vertex AI, you can now easily train and compare models using AutoML or custom code training and all your models are stored in one central model repository. These models can now be deployed to the same endpoints on Vertex AI. AutoML Vision helps anyone with limited Machine Learning (ML) expertise train high quality image...

2. Introduction to Self-Driving Cars

Welcome to Introduction to Self-Driving Cars, the first course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the terminology, design considerations and safety assessment of self-driving cars. By the end of this course, you will be able to: - Understand commonly used hardware used for self-driving cars - Identify the main components of the self-driving software stack - Program vehicle modelling and control - Analyze the safety frameworks and...

3. Car Maintenance Anyone Can Do

4.7

(503)

Learn how to add years of reliable life and service to your car...

4. How to Flip Cars Like a Pro - Learn Car Flipping

4.3

(871)

The step-by-step guide to buying and selling cars without investing too much time...

5. Self-Driving Cars

Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.\n\nThis Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source...

6. Motion Planning for Self-Driving Cars

Welcome to Motion Planning for Self-Driving Cars, the fourth course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main planning tasks in autonomous driving, including mission planning, behavior planning and local planning. By the end of this course, you will be able to find the shortest path over a graph or road network using Dijkstra's and the A* algorithm, use finite state machines to select safe behaviors to execute, and design optimal,...

7. Autonomous Cars: How Do They Work and Impact Us?

4.6

(1,976)

Everything You Need to Know About Autonomous Driving / Self-driving / Driverless / Robot Cars. Functionality To Impact...

8. How to Establish a Business Tinting Car Windows from Home

4.5

(269)

Start Your Business Tinting Car Windows From Home With This Comprehensive Training. Simple Techniques, Easily Mastered...

9. Autonomous Cars: Deep Learning and Computer Vision in Python

4.5

(1,162)

Learn Open CV, Keras, object and lane detection, and traffic sign classification for self-driving cars...

10. The Complete Self-Driving Car Course - Applied Deep Learning

4.6

(3,885)

Learn to use Deep Learning, Computer Vision and Machine Learning techniques to Build an Autonomous Car with Python...

11. Fundamentals of Automobile Engineering

4.2

(376)

Enjoy and Learn working of Cars right from basics and make it stick in your brain for ever!...

12. Applied Control Systems 1: autonomous cars: Math + PID + MPC

4.6

(1,142)

Modeling + state space systems + PID + Model Predictive Control + Python simulation: lateral control for autonomous cars...

13. Make a Cinematic Car Chase Short Film Animation in Blender

4.7

(313)

Learn Animation, 3D Modeling, Rig Texture, Render Car Animations in Blender and Build Your Game in Unreal Engine & Unity...

14. Blender 3.0 Vintage Car Creation

4.8

(500)

Learn Blender tools and techniques while creating a vintage automobile...

15. Autonomous Robots: Model Predictive Control

4.8

(391)

Learn to make a Self-Driving or Autonomous Car follow the speed limit, pull into parking spaces, and avoid obstacles!...

16. Model a Car and Design a PID Controller in MATLAB/SIMULINK

4.3

(806)

Model and simulate an electric car (Tesla Model S) in MATLAB & SIMULINK and design your own PID speed controller...

17. Do it Yourself - Automotive Electrical Diagnosis - Beginner

4.7

(1,353)

Learn to Eliminate the Possible Causes of Basic Automotive Electrical Faults oftentimes without even Touching the Car...

18. Build Your own Self Driving Car Deep Learning, OpenCV, C++

4

(640)

Learn Raspberry Pi, Arduino UNO, Image Processing and Neural Networks (Machine Learning) for any Embedded IOT Project...

19. Advanced Kalman Filtering and Sensor Fusion

4.7

(486)

Theory and C++ Simulation Implementation for Autonomous Vehicles and Self Driving Cars!...