MLOps (Machine Learning Operations)

MLOps (Machine Learning Operations) is an engineering discipline that aims to unify machine learning system development and machine learning system operations. Coursera's MLOps catalogue teaches you how to streamline and regulate the process of deploying, testing, and improving machine learning models in production. You'll learn about essential elements of MLOps such as data and model versioning, model testing, monitoring, and validation, as well as robust strategies for deploying and maintaining ML models. By the end of your learning journey, you will be able to effectively manage the ML lifecycle, understand the role of automation in MLOps, and leverage best practices to bring data science and IT operations together.
42credentials
2online degrees
170courses

Results for "mlops (machine learning operations)"

  • Status: New

    Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, AI Product Strategy, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, No-Code Development, Innovation, MLOps (Machine Learning Operations)

  • Status: New

    Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, AI Product Strategy, Cloud Infrastructure, Cloud Computing Architecture, Responsible AI, Artificial Intelligence, Business Solutions, Technology Strategies, MLOps (Machine Learning Operations)

  • Status: Free Trial

    Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Data Transformation, SQL, Python Programming

  • Status: Preview

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, MLOps (Machine Learning Operations), Data Science, Artificial Neural Networks, Test Case, Analysis, Algorithms, Performance Testing, Performance Tuning

  • Skills you'll gain: Apache Airflow, Tensorflow, MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Machine Learning Methods, Cloud Computing, Machine Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Tensorflow, Google Cloud Platform, Cloud Infrastructure, Hardware Architecture, Application Deployment, Infrastructure Architecture, Infrastructure As A Service (IaaS), Cloud Computing Architecture, Performance Tuning, Computer Hardware, Computer Architecture, MLOps (Machine Learning Operations), Cloud Platforms, Business Workflow Analysis, Interoperability, Artificial Intelligence, Product Demonstration, Performance Improvement, Systems Architecture, Benchmarking

  • Status: Preview

    Skills you'll gain: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements

  • Status: New
    Status: Free Trial

    Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Large Language Modeling, Continuous Monitoring, Generative AI, Performance Tuning, Machine Learning

  • Status: New

    Skills you'll gain: Prompt Engineering, LangChain, Large Language Modeling, Data Quality, No-Code Development, MLOps (Machine Learning Operations), Application Deployment, Responsible AI, Natural Language Processing, Application Development, Application Programming Interface (API), Scalability

  • Status: New

    Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, Responsible AI, AI Product Strategy, Cloud Computing Architecture, Cloud Infrastructure, Artificial Intelligence, LLM Application, MLOps (Machine Learning Operations), Data Centers, Innovation

  • Status: Preview

    Skills you'll gain: Databricks, Scalability, Workflow Management, Organizational Leadership, Data Architecture, MLOps (Machine Learning Operations), Strategic Thinking, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Business Strategy, Strategic Planning, Infrastructure Architecture, Applied Machine Learning, Automation

  • Status: New
    Status: Free Trial

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Cloud Development, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Machine Learning, Statistical Analysis, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Supervised Learning, Dimensionality Reduction, Regression Analysis

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