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Results for "Data Engineering, Big Data, and Machine Learning on GCP"

  • Skills you'll gain: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Data Governance, Apache Hadoop, Dashboard, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Data Access, Cloud API, Data Architecture, Data Quality, Data Cleansing, Machine Learning Methods

  • Duke University

    Skills you'll gain: Cloud Engineering, Cloud-Native Computing, Software Engineering, Cloud Development, Distributed Computing, Cloud Storage, Engineering Software, Extract, Transform, Load, Google Cloud Platform, Software Engineering Tools, Big Data, Software Development, Cloud Computing, Serverless Computing, Data Infrastructure, Cloud Technologies, Cloud Services, Cloud Solutions, Data Pipelines, Command-Line Interface

  • Skills you'll gain: Data Engineering, Snowflake Schema, Data Pipelines, Retrieval-Augmented Generation, Generative AI, Model Deployment, Data Architecture, Responsible AI, Embeddings, Data Transformation, Data Processing, Data Governance, Data Management, Data Quality, Business Logic, SQL, Data Collection, Data Entry, Data Security, Python Programming

  • Skills you'll gain: Model Deployment, Data Pipelines, Real Time Data, Google Cloud Platform, Dataflow, Data Warehousing, Dashboard Creation, Data Preprocessing, Data Governance, Tensorflow, Big Data, Feature Engineering, Data Lakes, Dashboard, Extract, Transform, Load, Apache Spark, Metadata Management, Apache Hadoop, MLOps (Machine Learning Operations), Data Management

  • Skills you'll gain: Model Deployment, Dataflow, Data Pipelines, Dashboard Creation, Google Cloud Platform, Data Lakes, Real Time Data, PySpark, Dashboard, Apache Kafka, Tensorflow, Data Governance, Apache Spark, Data Warehousing, Data Import/Export, Data Processing, Extract, Transform, Load, Unstructured Data, Big Data, Operational Databases

  • Skills you'll gain: Google Cloud Platform, Dataflow, Data Pipelines, Data Import/Export, Feature Engineering, Data Lakes, Model Deployment, Real Time Data, Dashboard Creation, Apache Kafka, Tensorflow, Data Governance, Data Warehousing, Apache Spark, Dashboard, Data Infrastructure, Data Architecture, Big Data, Extract, Transform, Load, Unstructured Data

  • 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: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Cloud Deployment, Devops Tools, Data Store, Continuous Deployment

  • Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, GitHub Copilot, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming

  • Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Responsible AI, AI literacy, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Model Evaluation, Machine Learning

  • Skills you'll gain: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning

  • Skills you'll gain: Dashboard Creation, Real Time Data, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Data Lakes, Dataflow, Data Pipelines, Cloud Storage, Data Import/Export, Big Data, Apache Spark, Data Governance, Apache Hadoop, Dashboard, Apache Kafka, Tensorflow, Data Store, Data Warehousing