Course Introduction

In this course you will learn two extremes, first apply computer vision and deep learning concepts in autonomous cars, including detecting lane lines, traffic sign classifiers, behavioral cloning and more. Next, you will learn sensor fusion, path planning, robotics and more. Finally you will work with our team to make an autonomous car.

Here, you can learn, through hands on training, to build your own self driving car. The learning is completely practical with hardware and software. You will learn programming using Raspberry pi with the donkey car. Lets step into the world of upcoming technologies with our industry experts to become a professional Certified Roboteer.

Promo of Autonomous Car

How it Works

self-driving car

In the Autonomous Car, you will be learning

design-thinking

Design Thinking

Design Thinking

Design thinking teaches us why it is important to challenge our assumptions and find new ways to solve our problems.

python

Python Programming

Python Programming

Learny Technologies provides training on Python programming for people from diverse disciplines.

machine-learning

Machine Learning

Machine Learning

Machine learning is a subset of AI in the field of computer science that often uses statistical techniques to give computers the ability to "learn" with data, without being explicitly programmed.

deep-learning

Deep Learning

Deep Learning

Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans.

Computer Vision

Computer Vision

Computer Vision

Computer vision, an AI technology that allows computers to understand and label images, is now used in driverless car testing.

Sensor Fusion

Sensor Fusion

Sensor Fusion

Sensor fusion is a large number of sensors to understand its environment, to locate and move.

Path Planning

Path Planning

Path Planning

Path designing is regarding finding a secure, comfortable, and efficient path to maneuver around the traffic path designing and deciding for autonomous vehicles in urban environments.

localization

Localization

Localization

Localization is the implementation of algorithms to estimate wherever is our vehicle with a mistake of but ten cm.

Control

Control

Control

Control is the fifth and final layer of the self-driving automotive software package stack.

story-telling

Storytelling

Storytelling

Storytelling is the activity of sharing stories, with extemporization, dramatics, exaggeration or elaboration.

Course syllabus

To know more about the Course details, Please do download the Syllabus.

At the end of This Course, You will be an expert In

Data Track

  • Problem solving
  • Python programming
  • Machine learning
  • Computer vision
  • Deep learning

Product Track

  • Embedded C
  • Internet of things
  • Artificial intelligence for robotics
  • 4 layer of self-driving cars
  • Prototype Development

Course duration and regular start times

  • Autonomous Car level - 3 Months
    Click here to Download Schedule for Intermediate level Course. DOWNLOAD    
  • Advanced Autonomoce Car level - 6 Months
    Click here to Download Schedule for Advance level Course. DOWNLOAD    

Click here to view the Autonomous Car Poster. DOWNLOAD    


Kalaiselvi

Ms. Kalaiselvi

Data Analyst
Geeva

Mr. Geeva

Data Analyst
Shahana

Ms. Shahana

ROBOTICS ENGINEER

Autonomous Car Images

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