Global Certificate in Neural Networks and Cloud-Native Architectures
-- ViewingNowThe Global Certificate in Neural Networks and Cloud-Native Architectures is a comprehensive course designed to equip learners with essential skills for career advancement in today's data-driven world. This course focuses on two critical areas: Neural Networks and Cloud-Native Architectures.
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โข Fundamentals of Neural Networks: Understanding of neural networks, including perceptrons, multilayer networks, backpropagation, and activation functions.
โข Convolutional Neural Networks (CNNs): Learning the architecture, components, and applications of CNNs, with a focus on image recognition and computer vision.
โข Recurrent Neural Networks (RNNs): Exploring RNNs, their structure, and how they're used for sequential data, including natural language processing and speech recognition.
โข Deep Learning Frameworks: Hands-on experience with popular deep learning frameworks such as TensorFlow, Keras, PyTorch, and Caffe.
โข Cloud Computing Basics: Introduction to cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
โข Cloud-Native Architectures: Designing and implementing cloud-native architectures, including microservices, containers, and Kubernetes.
โข DevOps for Machine Learning: Automating machine learning pipelines, version control, and continuous integration and delivery (CI/CD) for neural networks.
โข Ethics and AI: Examining the ethical considerations of AI, including fairness, accountability, transparency, and data privacy.
โข Capstone Project: Applying the skills and knowledge acquired throughout the course to design, implement, and evaluate a neural network-based solution on a cloud-native architecture.
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