Learning Guide — MIT OpenCourseWare

MIT | Professional Certificate Program in Machine Learning & Artificial Intelligence

AI in Robotics: Learning Algorithms, Design and Safety—$3,750 (3 days) Explore breakthrough advances in robot learning, safety certification, and testing—and acquire the advanced knowledge you need to create state-of-the-art generative AI applications. AI System Architecture and Large Language

Advanced1 hours totalself 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

AI in Robotics: Learning Algorithms, Design and Safety—$3,750 (3 days)
Explore breakthrough advances in robot learning, safety certification, and testing—and acquire the advanced knowledge you need to create state-of-the-art generative AI applications. AI System Architecture and Large Language Model Applications—$4,500 (5 days)
Deepen your understanding of the end-to-end AI system architecture needed to design and deploy large language models (LLMs)—and implement an LLM application of y

Frequently Asked

Common questions

What will I learn in MIT | Professional Certificate Program in Machine Learning & Artificial Intelligence?

AI in Robotics: Learning Algorithms, Design and Safety—$3,750 (3 days) Explore breakthrough advances in robot learning, safety certification, and testing—and acquire the advanced knowledge you need to create state-of-the-art generative AI applications. AI System Architecture and

Is MIT | Professional Certificate Program in Machine Learning & Artificial Intelligence 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?

1 hours total. 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 →
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
MIT xPRO | Robotics Essentials

MIT xPRO | Robotics Essentials

MiT xPRO's Robotics Essentials program provides you with the knowledge and resources to identify basic robotic subsystems, evaluate human-robot interactions, and analyze challenges to the implementation of robotic systems. This program is an ideal launchpad if you want to chart a path in full-s

advanced
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
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
Udacity

Learn Robotics | AIoT, Sensor Fusion & Embedded Systems

Explore robotics, AIoT, sensor fusion, and embedded systems. Build smart, connected machines that adapt, learn, and drive the future of autonomous technology.

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
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
MIT | Professional Certificate Program in Machine Learning & Artificial Intelligence
Start
Weekly Robotics Brief

New robots, funding, and signals. Every Thursday.

Unsubscribe anytime.