{"id":12046,"date":"2026-08-10T10:40:23","date_gmt":"2026-08-10T10:40:23","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-deep-learning-specialization-advanced-ai-hands-on-lab-2025-8\/"},"modified":"2026-08-10T10:40:23","modified_gmt":"2026-08-10T10:40:23","slug":"udemy-deep-learning-specialization-advanced-ai-hands-on-lab-2025-8","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-deep-learning-specialization-advanced-ai-hands-on-lab-2025-8\/","title":{"rendered":"Udemy \u2013 Deep Learning Specialization: Advanced AI, Hands on Lab 2025-8"},"content":{"rendered":"
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Description<\/span><\/h2>\n

Deep Learning Specialization: Advanced AI, Hands on Lab. This course is a comprehensive program to master advanced AI techniques through hands-on experience. The course begins with the basics of neural networks, including activation functions, loss functions, and optimization, and moves on to convolutional neural networks (CNNs) and the implementation of architectures such as LeNet, VGG, and ResNet in image classification and object recognition projects. It then explores sequential models such as RNN, LSTM, and GRU, along with attention mechanisms for applications such as time series prediction and text generation. A significant section is devoted to transformers and natural language processing (NLP), where the concepts of self-attention, mini-transformer models, and working with pre-trained models such as BERT and GPT are taught. The course then explores generative models including autoencoders, VAEs, GANs, and propagation models for creative applications. Reinforcement learning is complemented by practice on Q-learning, DQNs, and policy gradient methods in simulated environments. Finally, essential topics of model deployment with Flask or FastAPI and Docker, explainability with SHAP\/LIME, as well as ethical and fairness considerations in AI systems are covered. Combining theory and weekly exercises, this specialization provides the skills necessary to design, train, deploy, and evaluate AI systems in real-world situations.<\/span><\/p>\n

What you will learn<\/span><\/h3>\n