Machine Learning Engineer Certification

Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 26-lesson curriculum all about Machine Learning. In this curriculum, you will learn about what is sometimes called classic machine learning, using primarily Scikit-learn as a library and avoiding deep learning, which is covered in our forthcoming 'AI for Beginners' curriculum. Pair these lessons with our 'Data Science for Beginners' curriculum, as well! Travel with us around the world as we apply these classic techniques to data from many areas of the world. Each lesson includes pre- and post-lesson quizzes, written instructions to complete the lesson, a solution, an assignment, and more. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'. ✍️ Hearty thanks to our authors Jen Looper, Stephen Howell, Francesca Lazzeri, Tomomi Imura, Cassie Breviu, Dmitry Soshnikov, Chris Noring, Anirban Mukherjee, Ornella Altunyan, Ruth Yakubu and Amy Boyd 🎨 Thanks as well to our illustrators Tomomi Imura, Dasani Madipalli, and Jen Looper 🙏 Special thanks 🙏 to our Microsoft Student Ambassador authors, reviewers, and content contributors, notably Rishit Dagli, Muhammad Sakib Khan Inan, Rohan Raj, Alexandru Petrescu, Abhishek Jaiswal, Nawrin Tabassum, Ioan Samuila, and Snigdha Agarwal 🤩 Extra gratitude to Microsoft Student Ambassadors Eric Wanjau, Jasleen Sondhi, and Vidushi Gupta for our R lessons!

There are 4 modules in this course AI isn't just for engineers. If you want your organization to become better at using AI, this is a course you should encourage everyone to take—especially your non-technical colleagues. In this course, you will learn: - The meaning of common AI terminology, including neural networks, machine learning, deep learning, and data science - What AI can—and cannot— actually do - How to find opportunities to apply AI to solve problems in your business organizations - What it's like to build machine learning and data science projects - How to work with an AI team and build an AI strategy in your company - How to navigate the ethical and public debate around AI Although this course is primarily non-technical, engineers can also take this course to learn about the business aspects of AI.

What you'll learn: ✔️Describe what is AI, its applications, use cases, and how it is transforming our lives ✔️Explain terms like Machine Learning, Deep Learning and Neural Networks ✔️Describe several issues and ethical concerns surrounding AI ✔️Articulate advice from experts about learning and starting a career in AI Build your subject-matter expertise This course is available as part of multiple programs When you enroll in this course, you'll also be asked to select a specific program. ✔️Learn new concepts from industry experts ✔️Gain a foundational understanding of a subject or tool ✔️Develop job-relevant skills with hands-on projects ✔️Earn a shareable career certificate