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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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The program has four courses totaling about 50 hours: training neural networks, convolutional networks for computer vision, sequence models and transformers, and generative models including GANs and diffusion. Its four projects include a landmark classifier and a transformer-based Q&A retriever. Prerequisites include intermediate Python, pandas, PyTorch, vectors and basic calculus.
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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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$1,000/course
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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by Udacity
A beginner Nanodegree covering Python, NumPy, pandas and Matplotlib, then neural networks and transformers with PyTorch, with two projects.
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