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Courses for learners building core AI fluency.
Agent systems, workflow orchestration, and practical tooling.
Quick-hit courses for a focused weekend sprint.
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Busy builders looking for a practical AI upskilling path.
1 hour
Self paced
Foundation
Certificate not stated
English
This course teaches the fundamentals of machine learning in an engaging and interactive way, utilizing the LEGO® Education SPIKE™ Prime Set and a specially d...
Busy builders looking for a practical AI upskilling path.
1 hour
Self paced
In this introductory course, you'll explore how Artificial Intelligence (AI) and Machine Learning (ML) are transforming healthcare. You'll build a solid foundation in AI and ML fundamentals, learning how these technologies can enhance both clinical and operational decision-making. The course will introduce you to key AI and ML principles such as using data to train, validate, and test machine learning models. Additionally, you’ll delve into important ethical and privacy concerns, applying these concepts to real-world healthcare scenarios.
Busy builders looking for a practical AI upskilling path.
Our Microsoft Copilot online training courses from LinkedIn Learning (formerly Lynda.com) provide you with the skills you need, from the fundamentals to advanced tips. Browse our wide selection of Microsoft Copilot classes to find exactly what you’re looking for.
Experienced builders who need a deeper technical track.
2 hours
Self paced
Instructor: Prof. Erik Demaine, Dr. Jason Ku, Prof. Justin Solomon View the complete course: https://ocw.mit.edu/6-006S20 YouTube Playlist: https://www.youtu...
Busy builders looking for a practical AI upskilling path.
1 hour
Self paced
An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. -- Part of the MITx MicroMasters program in Statistics and Data Science.
Busy builders looking for a practical AI upskilling path.
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Busy builders looking for a practical AI upskilling path.
Self paced
Self paced
This course module teaches the fundamental concepts and best practices of working with categorical data, including encoding methods such as one-hot encoding and hashing, creating feature crosses, and common pitfalls to look out for.
Experienced builders who need a deeper technical track.
50 minutes
Self paced
This course module teaches fundamental concepts and best practices for working with numerical data, from how data is ingested into a model using feature vectors to feature engineering techniques such as normalization, binning, scrubbing, and creating synthetic features with polynomial transforms.
Experienced builders who need a deeper technical track.
85 minutes
Self paced
fresh
Official-source checked
Foundation
Certificate not stated
English
fresh
Official-source checked
Self paced
Self paced
Foundation
Certificate not stated
English
fresh
Official-source checked
Advanced
Certificate not stated
English
fresh
Official-source checked
Foundation
Certificate not stated
English
fresh
Official-source checked
Self paced
Self paced
Foundation
Certificate not stated
English
fresh
Official-source checked
Foundation
Certificate not stated
English
fresh
Official-source checked
Advanced
Certificate available
English
fresh
Official-source checked
Advanced
Certificate available
English
fresh
Official-source checked