Microsoft is offering free courses on AI

Microsoft - AI For Beginners Curriculum

12-week, 24-lesson curriculum exploring Artificial Intelligence (AI).

Covers Symbolic AI, Neural Networks, Computer Vision, Natural Language Processing, and more. Hands-on lessons, quizzes, and labs included.

https://microsoft.github.io/AI-For-Beginners/

Introduction to Artificial Intelligence

This course helps you grasp key concepts in artificial intelligence.

Designed for project managers, product managers, directors, executives, and students starting a career in AI.

https://www.linkedin.com/learning/introduction-to-artificial-intelligence/why-you-need-to-know-about-artificial-intelligence

What Is Generative AI?

Generative AI expert Pinar Seyhan Demirdag covers the basics of generative AI, with topics including:

• What it is

• How it works

• Different types of models

• Future predictions and ethical implications

https://www.linkedin.com/learning/what-is-generative-ai

Generative AI: The Evolution of Thoughtful Online Search

Learn more about the core concepts of generative AI-driven reasoning engines and how they differ from search engine strategy.

https://www.linkedin.com/learning/generative-ai-the-evolution-of-thoughtful-online-search/how-finding-and-sharing-information-online-has-evolved

Streamlining Your Work with Microsoft Bing Chat

Discover the power of AI chatbots.

In this course, instructor Jess Stratton teaches you how to use Microsoft Bing Chat effectively.

https://www.linkedin.com/learning/streamlining-your-work-with-microsoft-bing-chat/put-your-fingers-to-work-chatting-as-a-productivity-tool

Ethics in the Age of Generative AI

Learn how to address ethical concerns when deploying generative AI tools and products.

https://www.linkedin.com/learning/ethics-in-the-age-of-generative-ai/generative-ai-and-ethics-the-urgency-of-now

Machine Learning for Everybody – Full Course

 

"Machine Learning for Everybody – Full Course" is a comprehensive guide designed to introduce beginners to the fascinating world of machine learning (ML). This course takes you step-by-step from the foundational concepts to advanced techniques, ensuring that you gain a deep understanding of how ML algorithms work and how they can be applied to real-world scenarios. With illustrative examples, hands-on projects, and clear explanations, this course is perfect for anyone looking to dive into ML, whether you're a student, professional, or just a curious learner.