Start your journey into attention with foundational concepts and hands-on exercises designed for newcomers.
Start now · step 1 of 8
Basic algebra and statistics helpful but not required
Any programming experience; Python preferred
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AdvancedFollow these courses in order to complete the learning path. Click on any course to enroll.
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MIT 6.S094: Deep Learning for Self-Driving Cars and beyond. Covers deep learning fundamentals and applications.
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Start your journey into attention with foundational concepts and hands-on exercises designed for newcomers.
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 25 hours of study across 8 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.
8 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.