Jetson Nano Boot Camp


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Course overview

Course type
Paid course
All Levels
6 hours
91 lessons
Available on completion
Course author
Yılmaz Alaca
  • Jetson Nano
  • OpenCV,
  • Object detection,
  • Arduino,
  • GPIO,
  • Python basics and
  • Serial communication.


Learn Jetson Nano with Machine Learning Project, Python, OpenCV and Serial Communication!

Hi! Welcome to the Jetson Nano Boot Camp course.

This course will provide the information you need to Master the Jetson Nano! It assumes no prior programming or electronics knowledge and walks you through everything you need to know to use the platform to the fullest! Here are some of the topics that are covered:

  • Basics of Python:

  • Variables,

  • Operators,

  • Standart input and output,

  • Lists, tuples,

  • Conditional statements,

  • Loops,

  • Functions and

  • Modules.

  • Basics of OpenCV:

  • Image reading and showing,

  • Image resizing,

  • Color transformation,

  • Drawing operations,

  • Introduction to Machine Learning and

  • Face detection.

  • Machine Learning:

  • Using webcam,

  • Texting,

  • Images capturing,

  • Positive and negative images and

  • Cropping and training process.

  • Object Detection : Arduino

  • Basics of Arduino:

  • Pin control,

  • Digital output,

  • Reaction time,

  • Serial port and

  • Conditional statements.

  • Project 1: Controlling Arduino with Python

  • Jetson Nano Board Set Up:

  • Operating system and connections and

  • Remote control.

  • Getting Frames Using CSI Camera

  • L298N

  • Project 2: School Crossing Sign (for Autonomous Vehicles)

No previous programming or electronics knowledge is required.

"You are never too old to set another goal or to dream a new dream." - C.S.Lewis

"Do the difficult things while they are easy and do the great things while they are small. A journey of a thousand miles begins with a single step" - Lao Tzu

You get the best information that I have compiled over years of trial and error and experience!

Best wishes,

Yılmaz ALACA

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