According to @DeepLearningAI, its PyTorch for Deep Learning Professional Certificate is now available on Coursera with instruction guided by Laurence Moroney and enrollment open immediately (source: @DeepLearningAI on X, Nov 20, 2025, https://twitter.com/DeepLearningAI/status/1991657808819876115). From a trading perspective, the source is a product availability announcement and does not disclose pricing, partnerships, blockchain components, or any cryptocurrency integrations, nor does it provide market guidance; therefore, the post itself offers no direct trading signal for AI-related equities or crypto AI tokens (source: @DeepLearningAI on X, Nov 20, 2025, https://twitter.com/DeepLearningAI/status/1991657808819876115).

According to @AndrewYNg, a new PyTorch for Deep Learning professional certificate taught by Laurence Moroney is now available and is described as a definitive program for learning PyTorch, which he notes is one of the main frameworks researchers use to build breakthrough AI systems (source: Andrew Ng on X, Oct 29, 2025). For trading context, this announcement underscores the ongoing centrality of PyTorch in cutting-edge AI workflows, offering a timely datapoint on developer upskilling that market participants can track when evaluating AI-exposed equities and crypto AI infrastructure themes (source: Andrew Ng on X, Oct 29, 2025).

According to DeepLearning.AI, the PyTorch for Deep Learning Professional Certificate is now live and led by Laurence Moroney, focusing on building, optimizing, and deploying deep learning systems with PyTorch; source: DeepLearning.AI. The curriculum includes hands-on projects to create image classifiers, fine-tune pretrained models, and prepare optimized systems for deployment; source: DeepLearning.AI. Learners will work directly with tensors and training loops, apply computer vision and NLP using TorchVision and Hugging Face, and design architectures including ResNets, Transformers, and Diffusion models; source: DeepLearning.AI. Deployment content spans ONNX, MLflow, pruning, and quantization; source: DeepLearning.AI. The program comprises three courses—PyTorch: Fundamentals; PyTorch: Techniques and Ecosystem Tools; and PyTorch: Advanced Architectures and Deployment—with the enrollment link hubs.la/Q03QMKJQ0; source: DeepLearning.AI. The announcement does not mention cryptocurrencies, tokens, or blockchain; source: DeepLearning.AI.