copy of https://github.com/microsoft/AcademicContent/blob/main/curricula.md
Here you will find curated, semester-long experiences for students and educators who would like to use this MIT-licensed content in their classrooms.
| Title | Description |
|---|---|
| Web Development for Beginners, 24 lessons | A curriculum with 24 lessons, assignments and five projects to build. Covers HTML, CSS and JavaScript. Also includes Pre- and Post- Quizzes. Made with teachers in mind, or as self paced learning |
| Machine Learning for Beginners, 25 lessons | A curriculum with 25 lessons with assignments covering classic Machine Learning primarily using Scikit-learn. Covers Regression, Classification, Clustering, NLP, Time Series Forecasting, and Reinforcement Learning, with two Applied ML lessons. Also includes 52 Pre- and Post- Quizzes. Made with teachers in mind, or as self paced learning |
| IoT for Beginners, 24 lessons | A curriculum with 24 lessons with assignments all about the Internet of Things. The projects cover the journey of food from farm to table. This includes farming, logistics, manufacturing, retail and consumer - all popular industry areas for IoT devices. Also includes Pre- and Post- Quizzes. Made with teachers in mind, or as self paced learning |
| Data Science for Beginners, 20 lessons | A curriculum with 20 lessons with assignments all about Data Science. Lessons cover the data science lifecycle from definition to deployment. Also includes Pre- and Post- Quizzes. Made with teachers in mind, or as self paced learning |
| AI for Beginners, 24 lessons | A curriculum with 24 lessons with assignments all about Artificial Intelligence. Lessons cover AI topics such as neural networks using frameworks such as TensorFlow and PyTorch. Also includes Pre- and Post- Quizzes. Made with teachers and students in mind, or as self paced learning |