Curated learning path for Edge AI & TinyML. Build practical skills through expert-selected courses.
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Basic algebra and statistics helpful but not required
Any programming experience; Python preferred
Follow these courses in order to complete the learning path. Click on any course to enroll.
This course dives into the rapidly evolving field of Edge AI, highlighting its development, practical applications, and emerging trends. It explores how Edge AI is transforming various industries by enabling faster data processing and decision-making at the source.
Explore related content to expand your skills beyond this learning path.
Curated learning path for Edge AI & TinyML. Build practical skills through expert-selected courses.
You'll work through Understand core concepts and foundations; Build your first projects with guided tutorials; Gain confidence with hands-on exercises; Build and train machine learning models from scratch; Understand supervised, unsupervised, and reinforcement learning paradigms; Evaluate model performance using industry-standard metrics.
About 8 hours of study across 2 courses — and you can go at your own pace.
It's pitched at beginner level — a solid starting point if you're new to the topic.
2 curated courses, sequenced from foundational to advanced.
The courses in this path can be started for free.
Enroll in this path to track your progress and stay motivated.