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: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, AWS SageMaker, AWS Identity and Access Management (IAM), Identity and Access Management, Computer Vision, Generative AI, LLM Application, Multimodal Prompts, Amazon Web Services, Applied Machine Learning, Natural Language Processing, Machine Learning, Reinforcement Learning, Data Ethics, Artificial Intelligence, Cloud Security, MLOps (Machine Learning Operations), Deep Learning, Data Wrangling

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

  • Skills you'll gain: Data Processing, Predictive Modeling, Feature Engineering, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Analysis, Machine Learning, Data Import/Export, Data Visualization, Virtual Environment

  • Status: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, Business Process Automation, Generative AI Agents, Generative AI, Automation, Performance Measurement, No-Code Development, Responsible AI, Process Optimization, Business Workflow Analysis, MLOps (Machine Learning Operations), System Monitoring, Scalability, Performance Analysis, Performance Management, Systems Integration

  • 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

  • Status: Free Trial

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Data Warehousing, MLOps (Machine Learning Operations), Cloud Engineering, Unstructured Data, Real Time Data, Data Lakes, Data Processing, Systems Design, Big Data, Cloud Infrastructure, Data Infrastructure, Extract, Transform, Load, Tensorflow, Data Visualization, Applied Machine Learning, Cloud Storage, Dashboard

  • Skills you'll gain: Generative AI, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Continuous Deployment, System Monitoring, Real Time Data, Feature Engineering, Continuous Monitoring, Applied Machine Learning, Performance Tuning, Advanced Analytics, Artificial Intelligence, Machine Learning, Data Cleansing

  • Status: Free Trial

    Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Tensorflow, Machine Learning Methods, Continuous Monitoring, Data Cleansing, Machine Learning

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

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

  • 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

    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

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