AI and Machine Learning for Engineers

Where learning systems help an engineering problem, and where they mislead.

What the course covers

8 modules, 32 topics. Open any one to see what sits inside it.

1. 1.1 Physics-based models against data-driven models
2. 1.2 Problems worth solving this way, and problems that are not
3. 1.3 The engineering data you already have and never use
4. 1.4 What a wrong prediction costs in a physical system
1. 2.1 Sensors, sampling rate and resolution
2. 2.2 Time series: windows, lags and trends
3. 2.3 Noise, drift and calibration error
4. 2.4 Labelling events in machine data
1. 3.1 Filtering and smoothing
2. 3.2 Features from the frequency domain
3. 3.3 Statistical features from a window
4. 3.4 Feature sets for rotating and reciprocating machines
1. 4.1 Regression for estimation and soft sensing
2. 4.2 Classification for fault type
3. 4.3 Tree ensembles on tabular machine data
4. 4.4 Clustering to find operating regimes
1. 5.1 Framing remaining useful life
2. 5.2 Detecting anomalies when failures are rare
3. 5.3 Setting a threshold operations will actually accept
4. 5.4 False alarms and the trust problem
1. 6.1 Image data in an industrial setting
2. 6.2 Defect detection basics
3. 6.3 Lighting, fixturing, and why the model fails on the line
4. 6.4 Taking a measurement from an image
1. 7.1 Edge, gateway or cloud
2. 7.2 Latency, power and memory limits
3. 7.3 Integrating with control and plant systems
4. 7.4 Safety interlocks around a model's output
1. 8.1 Validating a model against physical tests
2. 8.2 Drift when the plant itself changes
3. 8.3 Documentation, traceability and audit
4. 8.4 Knowing when to switch the model off

By the end of this course you will be able to explain and apply:

Two hours, not two months Eight short modules. Finish in a day, or do one module a night for a week.

Skills your degree does not cover Employers ask for practical tools alongside the qualification. This fills that gap while you study.

Built for a phone Watch on the bus, pause mid-module, pick up where you stopped. No download, no lab.

A certificate that can be checked Every certificate carries an ID your college or an employer can verify on our site.

Bachelor's Degree students in India
Studying: B.Tech / B.E. (Mechanical, Civil, Electrical, ECE), Diploma in Engineering
Recent graduates strengthening a CV
Anyone working in this field without a formal qualification

About two hours in total — eight modules of roughly fifteen minutes. You can do it in one sitting or spread it across a week. Your place is saved either way.
No. There is no prerequisite course and no software to install. A phone, tablet or computer with an internet connection is enough.
Yes. This course is placed at Bachelor's Degree for India, and the content is written for that level. If you are at a different stage, change your level at the top of the page and the courses will change with it.
A certificate for the course, carrying an ID that your college or an employer can check on our verification page. You keep access to the material afterwards.
Yes — ₹450 for this course on its own, or ₹1,450 for all five in this set, which works out cheaper if you want more than one.
There is a short quiz at the end of each module so you can check what stuck. It is not timed and you can retake it.
Change your country using the picker at the top. Level names, degree names and prices all switch to that country, and the courses adjust to its education system.

Wording shown for India. Pick a different country at the top and the terms, currency and programme names change with it.