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

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

What brings you to Coursera today?

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

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

  • 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: 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