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  • Skills you'll gain: Feature Engineering, Model Optimization, Model Deployment, Tensorflow, Google Cloud Platform, Exploratory Data Analysis, Model Training, Machine Learning, Data Preprocessing, Data Quality, Keras (Neural Network Library), Applied Machine Learning, Machine Learning Software, Business Metrics, Model Evaluation, Data Cleansing, Dataflow, Artificial Neural Networks, Data Pipelines, Logistic Regression

  • Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Machine Learning, Machine Learning Methods, Google Cloud Platform, Machine Learning Software, Model Deployment, Applied Machine Learning, Data Preprocessing, Cloud Storage, Data Quality, Cloud Computing, Model Training, Keras (Neural Network Library), Machine Learning Algorithms, Statistical Machine Learning, Embeddings, Fine-tuning, Dataflow

  • Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Model Optimization, Model Training, Data Pipelines, Cloud Deployment, Deep Learning, Data Preprocessing, Feature Engineering, Predictive Modeling, Model Evaluation, Data Import/Export, Artificial Neural Networks, Data Manipulation

  • Skills you'll gain: Model Optimization, Feature Engineering, Tensorflow, Model Training, Google Cloud Platform, Model Deployment, Data Quality, Model Evaluation, Keras (Neural Network Library), Exploratory Data Analysis, Data Preprocessing, Data Strategy, Cloud Deployment, Machine Learning, Embeddings, Applied Machine Learning, AI Product Strategy, Responsible AI, Dataflow, Deep Learning

  • Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Data-Driven Decision-Making, Model Training, Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Development Environment

  • Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Google Cloud Platform, Model Training, Exploratory Data Analysis, Business Metrics, Keras (Neural Network Library), Data Preprocessing, Data Quality, Model Evaluation, Logistic Regression, Applied Machine Learning, Data Pipelines, Data Cleansing, Data Processing, Machine Learning Methods, Model Deployment, Machine Learning Software, Performance Tuning

What brings you to Coursera today?

  • Skills you'll gain: Apache Airflow, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Model Deployment, Kubernetes, Continuous Deployment, Tensorflow, Metadata Management, Model Training, Model Optimization, Model Evaluation, Containerization, Data Validation

  • Skills you'll gain: Feature Engineering, Model Optimization, Generative AI, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, MLOps (Machine Learning Operations), Google Cloud Platform, Model Evaluation, Applied Machine Learning, Data Cleansing, Data Quality, Cloud Computing

  • Skills you'll gain: CI/CD, MLOps (Machine Learning Operations), Apache Airflow, Google Cloud Platform, Data Pipelines, Model Deployment, Tensorflow, Continuous Deployment, AI Workflows, Metadata Management, Model Training, Model Optimization, AI Orchestration, Data Preprocessing, Model Evaluation

  • Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Deployment, Data Pipelines, Google Cloud Platform, Model Training, Model Optimization, Deep Learning, Cloud Deployment, Data Preprocessing, Artificial Neural Networks, Scalability, Data Cleansing, Data Transformation

  • Skills you'll gain: Google Cloud Platform, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Continuous Deployment, Model Deployment, Model Training, Metadata Management, AI Orchestration, PyTorch (Machine Learning Library)

  • Skills you'll gain: Tensorflow, Data Preprocessing, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Model Training, Data Cleansing, Data Pipelines, Data Transformation, Deep Learning, Artificial Neural Networks, Model Optimization, Machine Learning