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by DataCamp
A career track covering supervised, unsupervised and deep learning in Python, from scikit-learn and XGBoost to PyTorch, Keras and PySpark.
Cost
$28/mo
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The track has about 21 courses and DataCamp estimates 85 hours to complete it. It covers linear and tree-based models, XGBoost, feature engineering, time series, NLP with spaCy, image processing, hyperparameter tuning and deep learning with PyTorch and Keras. It has no listed prerequisites and earns a Statement of Accomplishment.
$28/mo
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by The University of Texas at Austin
A 30-credit-hour online AI master's degree with a required ethics course and electives across machine learning, deep learning, reinforcement learning and NLP.
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Cost
$1,000/course
by Udacity
An intermediate Nanodegree on neural networks in PyTorch, covering CNNs for computer vision, sequence models and transformers, and generative models.
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by Udacity
An intermediate Nanodegree on generative AI engineering: foundation models and fine-tuning, LLMs and RAG, and multimodal applications, with three projects.
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