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.
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Results for "mlops (machine learning operations)"

  • Status: Free Trial

    Skills you'll gain: Large Language Modeling, LLM Application, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Data Management, Prompt Engineering, Training Programs, Data Validation, Data Cleansing, Program Evaluation, Natural Language Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Data Transformation, Verification And Validation, Data Quality, Performance Tuning, Data Processing

  • Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Virtual Machines, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Generative AI, Large Language Modeling, Artificial Intelligence, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Tensorflow, Information Privacy, Machine Learning, A/B Testing, Deep Learning, Version Control, Performance Tuning, Scalability

  • Status: Free Trial

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Looker (Software), Data Lakes, Real Time Data, Data Warehousing, Unstructured Data, Big Data, Data Infrastructure, Cloud Infrastructure, Data Storage, Dashboard, Apache Airflow, Data Architecture, Data Processing, Tensorflow, Cloud Storage, MLOps (Machine Learning Operations), Cloud Engineering

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Google Cloud Platform, Data Lakes, Data Warehousing, Extract, Transform, Load, Real Time Data, Data Infrastructure, Data Architecture, Cloud Storage, Big Data, Looker (Software), Tensorflow, Unstructured Data, Data Transformation, Cloud Infrastructure, Data Processing, MLOps (Machine Learning Operations), Apache Spark, Artificial Intelligence and Machine Learning (AI/ML)

  • Status: Preview

    Coursera Instructor Network

    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: Free Trial

    Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Pipelines, Data Transformation, MLOps (Machine Learning Operations), Data Processing, Keras (Neural Network Library), Machine Learning, Statistical Methods

  • Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Google Analytics, Data Processing, Cloud Computing, Analytics, Cloud Storage, Predictive Analytics, Machine Learning, Advanced Analytics, Data Management

  • Status: Free Trial

    Skills you'll gain: Large Language Modeling, LLM Application, Prompt Engineering, Microsoft Azure, OpenAI, MLOps (Machine Learning Operations), Responsible AI, Cloud Computing, Application Deployment, Application Programming Interface (API), Python Programming, Scalability

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Serverless Computing, Identity and Access Management, AI Personalization, Google Cloud Platform, Data Integration, Cloud Security, Data Integrity, Performance Tuning, Data Security, MLOps (Machine Learning Operations), CI/CD, Data Processing, Debugging, Real Time Data, System Monitoring, Cloud Storage, Issue Tracking, Data Storage Technologies

  • Status: Free Trial

    Skills you'll gain: Applied Machine Learning, Machine Learning, Data Storytelling, Stakeholder Engagement, Data Presentation, Stakeholder Communications, MLOps (Machine Learning Operations), Web Applications, Project Closure, Solution Delivery, Data Visualization, Data Science, Data Pipelines, Communication, Automation

  • Status: Free Trial

    Skills you'll gain: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), Data Cleansing, Artificial Neural Networks, Tensorflow, Text Mining, Jupyter, Application Lifecycle Management, Pandas (Python Package), Systems Architecture, Analysis, Deep Learning, Application Development, Scripting, Algorithms, Data Transformation, Python Programming

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