Master advanced ai features concepts with expert-level content and cutting-edge techniques.
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Strong foundation in linear algebra, calculus, and optimization
Expert Python skills; experience with ML frameworks
Follow these courses in order to complete the learning path. Click on any course to enroll.
Learn Transformers, explained: Understand the model behind GPT, BERT, and T5
State-of-the-Art Machine Learning Papers Implementation
Complete natural language processing specialization covering transformers, attention mechanisms, and modern NLP techniques.
This module teaches you how to apply slash commands, interact with Git Hub Copilot using the Chat feature, and ask questions about your project using an agent to make changes and updates to a Python application.
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See the side-by-side breakdown and our pick by scenario
See the side-by-side breakdown and our pick by scenario
Master advanced ai features concepts with expert-level content and cutting-edge techniques.
You'll work through Master cutting-edge techniques and research; Handle complex, production-scale systems; Contribute to open source and research; Build and train machine learning models from scratch; Understand supervised, unsupervised, and reinforcement learning paradigms; Evaluate model performance using industry-standard metrics.
About 50 hours of study across 4 courses — and you can go at your own pace.
It's pitched at advanced level, so a little prior familiarity helps.
4 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.