5 free online courses offered By MIT and Stanford

Online short courses are one of the many ways to advance your skillset within a given career field and are a great opportunity to learn more about an area that interests you. With hiring sentiment in the IT sector at its all-time high, adding new skills to your resume is one way to make the most of this opportunity.

Here are 5 free online courses offered by top tech US universities you should enroll!

1. Introduction to Internet of Things (XEE100)

• By: Stanford School of Engineering
• Delivery: online
• Free: NIL (Free)

In this short non-credit course, six Stanford faculty members will deliver an overview of exciting and relevant technical areas essential to professionals in the IoT industry. This introductory course provides a taste of what to expect from courses that are part of the IoT Graduate Certificate program. Academic Director Olav Solgaard will give an introduction to this short course, and then you will be guided through 5 modules:

• Cool Applications
• Sensors
• Embedded Systems
• Networking
• Circuits

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Description

The Internet of Things is transforming our physical world into a complex and dynamic system of connected devices on an unprecedented scale.

Advances in technology are making possible more widespread adoption of IoT, from pill-shaped micro-cameras that can pinpoint thousands of images within the body, to smart sensors that can assess crop conditions on a farm, to the smart home devices that are becoming increasingly popular. But what are the building blocks of IoT? And what are the underlying technologies that drive the IoT revolution?

2. Introduction to Probability Management (SOE-YCEE0001)

• By: Stanford School of Engineering
• Delivery: online
• Free: NIL (Free)

What you will learn

1. How to recognize the Flaw of Averages, a set of systematic errors that occur when uncertainties are represented by single numbers, usually an average. It explains why so many projects are behind schedule, beyond budget, and below projection.

2. The Arithmetic of Uncertainty, which performs calculations with uncertain inputs, resulting in uncertain outputs from which you can calculate true average outcomes and the chances of achieving specified goals.

3. How to create Interactive Simulations which may be shared with any Excel user without the need for add-ins or macros. The approach is just as at home in R, Python or any programming environment that supports arrays.

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3. Quantum Mechanics for Scientists and Engineers (SOE-YEEQMSE01)

• By: Stanford School of Engineering
• Delivery: online
• Free: NIL (Free)

This short course aims to teach quantum mechanics to anyone with a reasonable college-level understanding of physical science or engineering.

This course is a substantial introduction to quantum mechanics and how to use it. It is specifically designed to be accessible not only to physicists but also to students and technical professionals over a wide range of science and engineering backgrounds.

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4. Machine Learning in Business by MIT

• On completion of this course, you’ll walk away with:
• A practical action plan to strategically implement machine learning in business.
• Exposure to the technical elements of machine learning, enabling you to leverage this technology without needing to code or program.
• Insights from esteemed MIT faculty and machine learning experts.

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5. Artificial Intelligence Strategy by UC Berkeley School of Information

• The ability to assess the AI readiness of an organization.
• A practical plan to successfully drive and implement an AI strategy within your business.
• An understanding of the various internal and external considerations, such as ethics and governance, to ensure successful AI project delivery.
• Insight into the value, risks, and opportunities associated with implementing an AI strategy.

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Content Reference - MIT, Edx, and Standford

( Content for study & Students )