Graduate Certificate in Cloud for Machine Learning
-- ViewingNowThe Graduate Certificate in Cloud for Machine Learning is a comprehensive course designed to meet the growing industry demand for professionals with expertise in cloud-based machine learning. This certificate program equips learners with essential skills to design, implement, and manage machine learning models on cloud platforms.
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⢠Cloud Fundamentals: Understanding cloud computing concepts, cloud service models (IaaS, PaaS, SaaS), and cloud deployment models (Public, Private, Hybrid).
⢠Machine Learning Basics: Introduction to machine learning, types of machine learning (Supervised, Unsupervised, Reinforcement), and machine learning algorithms.
⢠Cloud for Machine Learning: Exploring popular cloud platforms for machine learning such as AWS SageMaker, Google Cloud ML Engine, and Microsoft Azure Machine Learning.
⢠Data Management in Cloud: Managing and storing large datasets in the cloud, data pre-processing, and data versioning.
⢠Machine Learning Model Development in Cloud: Building, training, and deploying machine learning models in the cloud.
⢠Cloud-based Deep Learning: Understanding deep learning concepts and implementing deep learning models in the cloud.
⢠Computer Vision in Cloud: Implementing computer vision algorithms and models in the cloud.
⢠Natural Language Processing in Cloud: Implementing natural language processing algorithms and models in the cloud.
⢠Cloud Security for Machine Learning: Ensuring security and privacy of machine learning models and data in the cloud.
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