Certificate in AI & ML for Pharma Transformation
-- ViewingNowThe Certificate in AI & ML for Pharma Transformation is a crucial course designed to meet the growing industry demand for AI and ML expertise in pharmaceuticals. This program equips learners with essential skills to drive pharma transformation, including drug discovery, clinical trials, and patient outcomes improvement.
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⢠Introduction to AI & ML: Fundamentals of Artificial Intelligence and Machine Learning, key concepts, and use cases.
⢠Data Preparation: Data preprocessing, data cleaning, and data wrangling for AI & ML applications in pharmaceuticals.
⢠Supervised Learning: Linear regression, logistic regression, decision trees, random forests, and support vector machines for pharmaceutical data analysis.
⢠Unsupervised Learning: Clustering, dimensionality reduction, and anomaly detection in pharma applications.
⢠Deep Learning: Neural networks, convolutional neural networks, recurrent neural networks, and long short-term memory networks for pharmaceutical data.
⢠AI & ML in Drug Discovery: AI-driven drug discovery, target identification, and lead optimization.
⢠AI & ML in Clinical Trials: Predictive analytics, patient recruitment, and real-time monitoring for clinical trials.
⢠AI & ML in Pharmacovigilance: AI-driven signal detection, adverse event monitoring, and risk management in pharmacovigilance.
⢠AI & ML in Supply Chain & Manufacturing: Predictive maintenance, demand forecasting, and quality control in pharmaceutical manufacturing and supply chain.
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