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  • Skills you'll gain: Data Import/Export, Python Programming, NumPy, Scripting, Data Collection, Data Analysis

  • Skills you'll gain: Unsupervised Learning, Fine-tuning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Data Infrastructure, Data Preprocessing, Model Optimization

  • Skills you'll gain: Wireless Networks, Reinforcement Learning, Communication Systems, Real Time Data, Systems Architecture

  • Multiple educators

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning

  • Skills you'll gain: Feature Engineering, Databricks, Data Engineering, PySpark, Data Lakes, Apache Airflow, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), Data Architecture, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Management, Data Storage, Python Programming, Artificial Intelligence, Machine Learning, SQL, Machine Learning Algorithms, Warehouse Management

  • Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, AI literacy, Machine Learning, Digital Transformation

What brings you to Coursera today?

  • Skills you'll gain: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, AI Integrations, MLOps (Machine Learning Operations), Application Deployment, AI Workflows, Model Evaluation, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability

  • Skills you'll gain: Financial Forecasting, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Forecasting, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Financial Data, Predictive Modeling, Model Training, Generative AI, Risking, Time Series Analysis and Forecasting, Market Data, Regression Analysis, Data Preprocessing, Verification And Validation, Credit Risk

  • Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Model Training, Responsible AI, Power BI, Microsoft Azure, Machine Learning Software, Image Analysis, Data Visualization Software, Data Presentation, Data Visualization, Dashboard Creation, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Health Equity, Medical Imaging, Predictive Analytics, Azure Synapse Analytics, Predictive Modeling

  • Skills you'll gain: Business Transformation, Innovation, Digital Transformation, Data Ethics, Cloud Infrastructure, Cloud Platforms, Google Cloud Platform, Culture Transformation, Cloud Services, Cloud Computing, Technology Strategies, Cloud Computing Architecture, Cloud Security, Cloud Deployment, Data Mapping, Applied Machine Learning, Model Training, Cloud Hosting, Image Analysis, Cloud Solutions

  • Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Statistical Modeling, Python Programming, Supervised Learning, Machine Learning, Agentic systems, Artificial Intelligence, Model Optimization, Algorithms, AI literacy

  • Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming