Top 5 Free Online Courses by MIT and Standford for college students
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 the time high, adding new skills to your resume is one way to make of this opportunity.
Here are 5 free online courses offered by top US universities you should enroll in!
NOTE:- Content Reference >> MIT, Edx, and Standford
1. Artificial Intelligence Strategy by UC Berkely School of Information
> The ability to access the AI readiness of an organization.
> A practical plan to successfully drive and implement an AI strategy within your business.
> An understanding of hr 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.
2. Machine Learning in Business by MIT
> On completion of this course, you will 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.
3. Introduction to Probability Management
In this course you will learn–
i) How to organize 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.
ii) 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.
iii) 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.
4. Quantum Mechanics for Scientists and Engineers
> 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.
5. Introduction to the Internet of things
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
> Embedded System
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