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by DataCamp
A career track for data scientists moving into AI engineering, covering deep learning, LLM fine-tuning, explainability, deployment and MLOps.
Cost
$28/mo
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The track has about 13 courses and an estimated 40 hours of content, using Python, scikit-learn, PyTorch, Hugging Face and LangChain. Topics include neural network architectures, transformer models, explainable AI with SHAP and LIME, responsible data management, testing and MLOps. It earns a Statement of Accomplishment and prepares learners for a DataCamp certification included with Premium.
$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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