AI for Education Learning Path

Microsoft's AI School provides a variety of learning paths and resources for developers and data scientists. It covers a wide range of AI topics, including machine learning, conversational AI, and AI services on Azure.

A learning path that introduces educators to AI concepts and tools from Microsoft. It includes a module on AI tools for educators and accessibility, demonstrating how AI can support personalized and inclusive learning.

A free, 2-hour, hands-on course designed to help educators get started with ChatGPT to save time, engage students, and implement AI responsibly.

Explore diverse perspectives on AI's impact on education through exclusive interviews with thought leaders discussing transformation in learning, future skills, and adaptation strategies for educators.

A free, self-paced course developed by Google in collaboration with MIT RAISE. It is designed to help teachers integrate AI into their teaching practices, covering the use of generative AI tools to save time, personalize instruction, and enhance lessons creatively.

Introduces the role of AI in education and workplace learning, covering ethics, automation, and the future of teaching. Ideal for L&D managers, CL Os, and instructional leaders.

A hybrid program for energy engineers to apply data science and AI techniques. It combines theoretical knowledge with practical use cases, focusing on analyzing, forecasting, and optimizing energy use with Python.

A free, self-paced course designed to help educators understand and integrate artificial intelligence into their teaching practices. It covers AI fundamentals, practical classroom applications, and ethical considerations.

A comprehensive and free resource for learning foundational math topics at your own pace. Khan Academy offers extensive video libraries and practice exercises for linear algebra, differential and integral calculus, and probability and statistics.

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This machine learning course will provide you the fundamentals of how companies like Google, Amazon, and even Udemy utilize machine learning and artificial intelligence (AI) to glean meaning and insights from massive data sets. Glassdoor and Indeed both report that the average salary for a data scientist is $120,000. This is the standard, not the exception.Data scientists are already quite desirable. It's difficult to keep them on staff in today's tight labor market. There is a severe shortage of people who possess the rare combination of scientific training, computer expertise, and analytical talents.Today's data scientists are held to the same standards as the Wall Street "quants" of the '80s and '90s. When the need arose for innovative algorithms and data approaches, physicists and mathematicians flocked to investment banks and hedge funds.So, it's no surprise that data science is rising to prominence as a promising career path in the modern day. It is analytic in focus, driven by code, and performed on a computer. As a result, it shouldn't be a shock that the demand for data scientists has been growing steadily in the workplace for the past few years.On the other hand, availability has been low. Obtaining the education and experience necessary to be hired as a data scientist is tough. And that's why we made this course in the first place!Each topic is described in plain English, and the course does its best to avoid mathematical notations and jargon. Once you have access to the source code, you can experiment with it and improve upon it. Learning and applying these algorithms in the real world, rather than in a theoretical or academic setting, is the focus of this course.Each video will leave you with a new perspective that you can implement right away!If you have no background in statistics, don't let that stop you from enrolling in this course; we welcome students of all levels.