Online Course

PyTorch Essentials for Robotics

Learn foundational PyTorch tools for AI development through hands-on robotics examples.

Course Overview

In this course, you’ll master PyTorch for AI development, learning to work with tensors, datasets, and build, train, and save AI models for robotics, equipping you with the skills to apply it effectively in AI projects.

What You Will Learn

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Basic tools in PyTorch

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Working with tensors

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Creating and managing AI datasets for training

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Building AI models

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Training various AI models with applications in robotics

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100% Online

No ROS setup is required. Everything is online.

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Advanced Level

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Approx. 24 hours to complete

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Prerequisites

Simulated Robots Used

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Course Final Hands-on Project

In this project, you’ll apply everything you’ve learned to train a model that detects a mini keyboard in images, using the provided code for the dataset, model, and ROS 2 utilities.

START LEARNING

Syllabus

Unit 1: Course Introduction

In this unit, you will glimpse what this ‘PyTorch Essentials for Robotics’ course is all about and experience real-world applications of AI models.

Unit 2: Tensors and PyTorch Basics

In this unit, you’ll learn the basics of PyTorch, including tensors and key operations for working with them.
By the end, you’ll be able to perform basic tasks using PyTorch.

Topics include:

Introduction to PyTorch
Understanding tensors
Basic tensor operations
Working with CPUs and GPUs in PyTorch

Unit 3: PyTorch's AI Dataset Management

In this unit, you’ll explore the basic AI dataset management tools that PyTorch offers to simplify your workflow.

You will learn to:

Generate a custom dataset using PyTorch
Process dataset images with PyTorch
Visualize tensor images from the dataset
Create a DataLoader for your custom dataset with PyTorch
Build a custom dataset class using PyTorch’s Dataset parent class

Unit 4: PyTorch's AI Model Creation

In this unit, you’ll learn the essential AI model tools PyTorch offers to simplify your development process.

You will learn to:

Create simple AI models
Download and modify existing complex models
Build your own model from scratch

Unit 5: AI training PyTorch Tools

In this unit, you’ll learn the basic PyTorch tools for training a model, including:

Training a model to recognize a mini keyboard
Saving and loading a trained model
Training a model to recognize five poker cards in hand
Model deployment

What our students think

“I have had a great experience with The Construct. I believe much of what I have learned thus far regarding ROS has been from these courses and the concepts behind the implementation of ROS have been helpful even outside of ROS applications.“

Sam Daly

“I’m very happy about working with The Constructsim, it is affordable, it is very comfortable for me, and the tools in the GUI are very useful“

Bladimir Bacca Cortes

“I really liked the learning approach based on projects and practical examples and I found the final project with an actual robot to be very useful and challenging.“

Guillermo Robledo