Learning Guide — MIT OpenCourseWare

Launch your AI career with MIT's online courses

Cognitive Robotics How to AI (Almost) Anything Minds and Machines Machine Vision Machine Learning for Inverse Graphics Matrix Methods in Data Analysis, Signal Processing, and Machine Learning Principles of Automatic Control Robotic Manipulation Signals, Systems, and Inference Underactuated

IntermediateSelf-paced (provider defined)self paced
Save to read later — works without an account
MIT OpenCourseWare
Prerequisites

Before you start

  • Basic Python familiarity
  • Comfort with algebra or calculus basics
  • Interest in robotics systems
Course Detail

About this guide

Cognitive Robotics How to AI (Almost) Anything Minds and Machines Machine Vision Machine Learning for Inverse Graphics Matrix Methods in Data Analysis, Signal Processing, and Machine Learning Principles of Automatic Control Robotic Manipulation Signals, Systems, and Inference Underactuated Robotics Visual Navigation for Autonomous Vehicles

Paid courses and programs for working professionals [...] Deep Learning: Mastering Neural Networks

Designing and Building AI Products and Ser

Frequently Asked

Common questions

What will I learn in Launch your AI career with MIT's online courses?

Cognitive Robotics How to AI (Almost) Anything Minds and Machines Machine Vision Machine Learning for Inverse Graphics Matrix Methods in Data Analysis, Signal Processing, and Machine Learning Principles of Automatic Control Robotic Manipulation Signals, Systems, and Inference Und

Is Launch your AI career with MIT's online courses free?

HumanoidHub has not verified public pricing for this guide. Open MIT OpenCourseWare for the current access terms before enrolling.

Do I need any prerequisites?

Recommended prep: Basic Python familiarity; Comfort with algebra or calculus basics; Interest in robotics systems.

How long does it take?

Self-paced (provider defined). Most learners complete this guide in self-directed sessions over a few weeks.

Does it offer a certificate?

This guide does not include a formal certificate. Focus is on the learning material itself.

Continue Learning

Related guides

All guides →
A new model offers robots precise pick-and-place solutions

A new model offers robots precise pick-and-place solutions

SimPLE (Simulation to Pick Localize and placE), a new model developed by MIT researchers, learns to pick, regrasp and place objects using object’s computer-aided design (CAD) model

intermediate
MIT OpenCourseWare

Explore the world of artificial intelligence with online courses from MIT | Open Learning

# Explore the world of artificial intelligence with online courses from MIT | Open Learning Skip to main content Search Image 1: Open Learning ## Main navigation For Learners & Organizations For MIT Faculty About us For OL Employees News Events ## Main Nav Buttons Give S

advanced
AI For Everyone

AI For Everyone

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning

intermediate
MIT OpenCourseWare

Clip AP MIT Researchers channel AI to turn hand gestures into robot training data (June 9) - VIDEO | MIT News | Massachusetts Institute of Technology

Associated Press Publication Date: Description: Associated Pressreporter Rodrique Ngowi visits MIT to learn about how researchers in Prof. Xuanhe Zhao’s lab developed an ultrasound wristband that gathers data on human hand motions as part of an effort to help train humanoid robots to undertake co

intermediate
Industrial Robotics

Industrial Robotics

Image 3Preview this course # Industrial Robotics Mathematical models and practical applications Created byFabrizio Frigeni Last updated 9/2019 English Image 4Preview this course Purchase options Subscribe and save From$13.00/month Access to 28,000+ top-rated courses Cancel anytime

intermediate
A neural blueprint for human-like intelligence in soft robots

A neural blueprint for human-like intelligence in soft robots

A new AI control system enables soft robotic arms to learn a wide repertoire of motions and tasks once, then adjust to new scenarios on the fly without needing retraining or sacrificing functionality. The work was co-led by researchers at the Singapore-MIT Alliance for Research and Technology (SMART

intermediate
Skills Apply To

Robots that use these skills

Share This Guide

Links include UTM tags so we can credit referrers.

Referral Program

Refer a learner and get early access to our paid pathways and 1:1 mentorship pilot.

Join referral list
MIT OpenCourseWare
Launch your AI career with MIT's online courses
Start
Weekly Robotics Brief

New robots, funding, and signals. Every Thursday.

Unsubscribe anytime.