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  • Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Model Deployment, Google Cloud Platform, Model Training, Exploratory Data Analysis, Business Metrics, Keras (Neural Network Library), Data Preprocessing, Data Quality, Model Evaluation, Applied Machine Learning, Data Cleansing, Machine Learning Methods, Machine Learning, AI Product Strategy, MLOps (Machine Learning Operations), Cloud Deployment, Performance Tuning

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

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

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

  • 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: Tensorflow, Model Deployment, Keras (Neural Network Library), Google Cloud Platform, Model Training, Cloud Deployment, Deep Learning, Data Pipelines, Model Optimization, Artificial Neural Networks, Data Preprocessing, Data Processing, Data Transformation

What brings you to Coursera today?

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

  • 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: Generative AI, Generative AI Agents, Google Cloud Platform, Google Gemini, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Agentic Workflows, Prompt Engineering, Applied Machine Learning, Model Deployment, Model Training, Machine Learning, No-Code Development, Model Evaluation

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

  • 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, Model Deployment, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Model Training, Model Optimization, Cloud Deployment, Deep Learning, Data Preprocessing, Applied Machine Learning, Scalability, Data Processing, AI Workflows, Artificial Neural Networks, Data Transformation