Start your journey into large language models with foundational concepts and hands-on exercises designed for newcomers.
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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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A beginner-level micro-learning course that provides an overview of Large Language Models, including their architecture, frameworks, and applications. It also introduces fundamental NLP concepts.
Generative AI with Large Language Models
Stanford course on NLP with deep learning. Covers word embeddings, RNNs, attention, transformers, and BERT.
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Start your journey into large language models 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 71 hours of study across 14 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.
14 curated courses, sequenced from foundational to advanced.
Around $49 total if you buy every course — but many include free audit options.
Enroll in this path to track your progress and stay motivated.