AI Foundations for Robotics Course - Python
AI, AI for beginers, AI basics, probability
![AI Foundations for Robotics course](https://s3-eu-west-1.amazonaws.com/www.theconstructsim.com/ignite/course/details/bb7dc159-9c31-465b-9514-96196a36fe67.png)
Course Summary
In this course, through robot simulations, we will guide you in your first steps into the AI world. Understanding the topics explained in this course is crucial for being able to develop your own models. Let's learn AI Foundations together!
What you will learn
Univariate probability, multivariate probability, statistics, decision theory, information theory, logistic regression.
Course Overview
Unit 1: Introduction
In this unit you will see an overview of the "AI Foundations for Robotics" course.
Unit 2: Univariate probability
In this unit you will learn the basic concepts of probability theory.
Unit 3: Probability through multivariate model
In this unit, you will learn the basic concepts of multivariate probability.
Unit 4: Statistics
In this unit you will learn how to make parametersĀ“ inference through statistics.
Unit 5: Decision Theory
In this unit you will learn the basic concepts of Decision Theory.
Unit 6: Information Theory
In this unit you will learn the basis of Information Theory.
Unit 7: Logistic regression
In this unit you will learn to implement a classification AI model from scratch.
Unit 8: Final Project
In this unit you will create your custom AI classification model from scratch: from collecting the data to the modelĀ“s final validation, you will be part of all the instances.
Teachers
Estanislao Escudero
I'm a Mechanical Engineer who looks forward to learn more about robotics and AI.
Robots used
mo robot
![mo robot](https://s3-eu-west-1.amazonaws.com/www.theconstructsim.com/ignite/robot/aa334e61-7f6d-46ca-9ba8-294b05322abb.png)