Coursera

Intelligent Machining (Coursera)

Offered by University at Buffalo, The State University of New York,

Manufacturers are increasingly utilizing machine tools that are self-aware – they perceive their own states and the state of the surrounding environment – and are able to make decisions related to machine activity processes. This is called intelligent machining, and through this course students will receive a primer on its background, tools and related terminology.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Learn how the integration of smart sensors and controls are helping to improve productivity. You’ll be exposed to various sensors and sensing techniques, process control strategies, and open architecture systems that can be leveraged to enable intelligent machining. This course will prepare you to contribute to the implementation of intelligent machining projects.
Main concepts of this course will be delivered through lectures, readings, discussions and various videos.
This is the fifth course in the Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,” and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal. To learn more about the Digital Manufacturing and Design Technology specialization:

Course 5 of 9 in the Digital Manufacturing & Design Technology Specialization.

Syllabus

WEEK 1
Introduction to Intelligent Machining
The purpose of this module is to introduce the concepts related to intelligent machining paradigm. The key focus will be discussing two key components of intelligent machining, i.e., sensing and control.

WEEK 2
Sensors and Sensing Techniques
The purpose of this module is to introduce spectrum of sensors used to implement intelligent machining. The module will also discuss the basics of signal processing and analysis techniques that has brought intelligent machining paradigm closer to industrial realization. Following issues pertaining to sensors and sensing techniques will be elaborated up: (1) Which sensors are to be used in each application? (2) How to acquire and process sensor signals?

WEEK 3
Process Control Strategies
The purpose of this module is to introduce the concept of Programmable Logic Controllers (PLCs) that co-ordinate the real-time control functions.

WEEK 4
Future Directions in Advanced Machining
The purpose of this module is to introduce the background related to open architecture software systems to implement intelligent machining.

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

University of Colorado Boulder

Dense Gases, Liquids and Solids (Coursera)

Engineering

Course 4 of Statistical Thermodynamics addresses dense gases, liquids, and solids. As the density of a gas is increased, intermolecular forces begin to affect behavior. For small departures from ideal gas behavior, known as the dense gas limit, one can estimate the change in properties using the concept of a configuration integral, a modification to the partition function.

Oct 26th 2026

4 Weeks

Thermodynamics Mechanical Engineering Solids

Coursera

Johns Hopkins University

Beginning Custom Projects with Raspberry Pi (Coursera)

Engineering

In this course you will use a Raspberry Pi 4 to build a complete network-connected project with sensors and motors and access it from your smartphone. We'll explore all the parts which make this work, so you can use this experience as a foundation for your own projects. We'll use the Raspberry Pi as an "embedded system" (as opposed to a desktop computer) so you're ready to build a Raspberry Pi into your projects as the brains that make it all work. Want to build your own Internet of Things (IoT) device? Home automation? Robotics? This is the class to learn how it all works, to get you building on your own.

Oct 26th 2026

4 Weeks

Sensors Raspberry Pi Motors

Coursera

Rice University

Physics 101 - Rotational Motion and Gravitation (Coursera)

Engineering Sci: Physics

This course serves as an introduction to the physics of rotational motion and gravitation. Upon completion, learners will have an understanding of how mathematical laws and conservation principles describe the motions and interactions of objects all around us. They will gain experience in solving physics problems with tools such as graphical analysis, algebra, vector analysis, and calculus.

Oct 26th 2026

4 Weeks

Algebra Calculus Physics

Coursera

Georgia Institute of Technology

Machine Design Part I (Coursera)

Engineering Sci: Physics

“Machine Design Part I” is the first course in an in-depth three course series of “Machine Design.” The “Machine Design” Coursera series covers fundamental mechanical design topics, such as static and fatigue failure theories, the analysis of shafts, fasteners, and gears, and the design of mechanical systems such as gearboxes. Throughout this series of courses we will examine a number of exciting design case studies, including the material selection of a total hip implant, the design and testing of the wing on the 777 aircraft, and the impact of dynamic loads on the design of an bolted pressure vessel. In this first course, you will learn robust analysis techniques to predict and validate design performance and life.

Nov 9th 2026

5-12 Weeks

Mechanical Engineering Problem Solving Failure

Coursera

Georgia Institute of Technology

Material Processing (Coursera)

Engineering

Have you ever wondered why ceramics are hard and brittle while metals tend to be ductile? Why some materials conduct heat or electricity while others are insulators? Why adding just a small amount of carbon to iron results in an alloy that is so much stronger than the base metal? In this course, you will learn how a material’s properties are determined by the microstructure of the material, which is in turn determined by composition and the processing that the material has undergone.

Nov 9th 2026

2 Weeks

Thermodynamics Mechanical Engineering Crystal Structures

Coursera

Korea Advanced Institute of Science and Technology - KAIST

Introduction to Basic Vibrations (Coursera)

Engineering Sci: Physics

Introduction to Basic Vibrations starts with the fundamental principle of vibrations with a single and double degree of freedom systems. These fundamental vibration systems provide a solid platform not only to understand general vibrations but also to apply or use them into simple mechanical problems.

Nov 2nd 2026

5-12 Weeks

Mechanical Engineering Vibrations Vibration Systems

Coursera

Georgia Institute of Technology

Fundamentals of Engineering Exam Review (Coursera)

Engineering Sci: Physics

The purpose of this course is to review the material covered in the Fundamentals of Engineering (FE) exam to enable the student to pass it. It will be presented in modules corresponding to the FE topics, particularly those in Civil and Mechanical Engineering. Each module will review main concepts, illustrate them with examples, and provide extensive practice problems.

Nov 2nd 2026

5-12 Weeks

Math Statistics Probability

Coursera

University at Buffalo,The State University of New York

Roadmap to Success in Digital Manufacturing & Design (Coursera)

CS: Information & Technology CS: Design & Product

Learners will create a roadmap to achieve their own personal goals related to the digital manufacturing and design (DM&D) profession, which will help them leverage relevant opportunities. The culminating project provides a tangible element to include in their professional portfolios that showcases their knowledge of Industry 4.0.

Nov 2nd 2026

5-12 Weeks

Self-Assessment Success Mechanical Engineering

Coursera

University of Colorado Boulder

Non-Equilibrium Applications of Statistical Thermodynamics (Coursera)

Engineering

Course 5 of Statistical Thermodynamics explores three different applications of non-equilibrium statistical thermodynamics. The first is the transport behavior of ideal gases, with some discussion of transport in dense gases and liquids. It starts with simple estimates of the transport properties of an ideas gas. It then introduces the Boltzmann Equation and describes the Chapman-Enskog solution of that equation in order to obtain the transport properties. It closes with a discussion of practical sources of transport properties.

Oct 26th 2026

3 Weeks

Thermodynamics Mechanical Engineering Solids

Coursera

Johns Hopkins University

Using Sensors With Your Raspberry Pi (Coursera)

Engineering

This course on integrating sensors with your Raspberry Pi is course 3 of a Coursera Specialization and can be taken separately or as part of the specialization. Although some material and explanations from the prior two courses are used, this course largely assumes no prior experience with sensors or data processing other than ideas about your own projects and an interest in building projects with sensors.

Oct 26th 2026

4 Weeks

Signal Processing Sensors Raspberry Pi

Coursera

L&T EduTech

Fundamentals of Robotics & Industrial Automation (Coursera)

Engineering

The "Fundamentals of Robotics & Industrial Automation" course is tailored to provide a comprehensive understanding of essential concepts and practical skills necessary for excelling in the field of collaborative robotics. Through three dynamic modules, participants will explore the intricacies of sensors & transducers in machine tools & robots, servo systems, and interfacing and simulation techniques.

Oct 26th 2026

3 Weeks

Robots Robotics Machine Learning

Coursera

Korea Advanced Institute of Science and Technology - KAIST

Particle Dynamics (Coursera)

Engineering Sci: Physics

This course teaches dynamics, one of the basic mechanics subjects of Mechanical Engineering. Students would be able to organize their knowledge about force and motion, work-energy, impulse-momentum in view of Newton's 2nd law and its integration over time and displacement. The Engineering Dynamics consists of two parts: particle dynamics and rigid body dynamics.

Nov 9th 2026

13-24 Weeks

Energy Mechanics Force