How to AI (Almost) Anything | MIT Learn
<p>Artificial Intelligence (AI) holds great promise as a technology to enhance digital productivity, physical interactions, overall well-being, and the human experience. To enable the true impact of AI, these systems will need to be grounded in real-world data modalities, from language-only sy
Before you start
- Basic Python familiarity
- Comfort with algebra or calculus basics
- Interest in robotics systems
About this guide
<p>Artificial Intelligence (AI) holds great promise as a technology to enhance digital productivity, physical interactions, overall well-being, and the human experience. To enable the true impact of AI, these systems will need to be grounded in real-world data modalities, from language-only systems to vision, audio, sensors, medical data, music, art, smell, and taste. This course will introduce the basic principles of AI (focusing on modern deep learning and foundation models) and how we can apply AI to novel real-world data modalities. In addition, we will introduce the principles of multimodal AI that can process many modalities at once, such as connecting language and multimedia, music and art, sensing and actuation, and more. <p>Through lectures, readings, discussions, and a significant research component, this course will develop critical thinking skills and intuitions when applying AI to new data modalities, knowledge of recent technical achievements in AI, and a deeper understanding of the AI research process.
Common questions
What will I learn in How to AI (Almost) Anything | MIT Learn?
<p>Artificial Intelligence (AI) holds great promise as a technology to enhance digital productivity, physical interactions, overall well-being, and the human experience. To enable the true impact of AI, these systems will need to be grounded in real-world data modalities, f
Is How to AI (Almost) Anything | MIT Learn 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.
Related guides
Search
MIT OpenCourseWare is a web based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity
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
What is machine learning? | A beginner’s guide – FutureLearn
What is machine learning? And what is it used for? We explore this fascinating technology, how it’s used, the type of careers on offer, and the skills you’ll need to get started.
Robotics Mastery: From Basics to Advanced Simulations MATLAB
This course provides an introduction to the fundamentals of computer-aided robotic analysis and simulation, all while offering real-world applications. It is
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
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
Robots that use these skills
SE01 Humanoid Robot
EngineAI
EngineAI SE01 is a full-size bipedal humanoid focused on smooth, human-like gait for research and industrial applications.
HiWonder TonyBot Humanoid Robot Kit
Hiwonder
Hiwonder TonyBot is a small humanoid (biped) robot kit for STEM learning with 16 DOF servo joints and app/program control.
T800 Humanoid Robot
EngineAI
EngineAI T800 is a full-size humanoid (bipedal) robot shown in 2025 as a heavy-duty platform and planned “Robot Boxer” competitor.
Refer a learner and get early access to our paid pathways and 1:1 mentorship pilot.
Join referral listNew robots, funding, and signals. Every Thursday.
Unsubscribe anytime.