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  • Mlops

MLOps Courses

MLOps courses can help you learn deployment strategies, model monitoring, and continuous integration and delivery for machine learning projects. You can build skills in automating workflows, managing data pipelines, and ensuring compliance with governance standards. Many courses introduce tools like TensorFlow, Kubernetes, and MLflow, that support operationalizing AI models and streamlining collaboration between data scientists and IT teams.

Popular MLOps Courses and Certifications


  • C

    Coursera

    Validate, Analyze, and Monitor ML Models

    Skills you'll gain: Verification And Validation, Release Management, Maintainability, Experimentation, Performance Testing, Benchmarking, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    BigQuery ML を推論に使用する

    Skills you'll gain: Big Data, Analytics, Data Analysis, Model Training, Applied Machine Learning, Model Deployment, MLOps (Machine Learning Operations), Machine Learning, Predictive Modeling

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Time Series Analysis with Spark

    Skills you'll gain: Model Deployment, Apache Spark, Time Series Analysis and Forecasting, MLOps (Machine Learning Operations), Big Data, Feature Engineering, Statistical Analysis, Distributed Computing, Forecasting, Anomaly Detection, Generative AI, Predictive Modeling, Model Training, Exploratory Data Analysis, Data Pipelines, Model Evaluation, Data Cleansing, Data Transformation, Data Quality, Statistical Modeling

    Intermediate · Course · 1 - 3 Months

  • U

    Universidad de los Andes

    Maestría en Inteligencia Analítica de Datos

    Skills you'll gain: Social Network Analysis, Systems Thinking, Unsupervised Learning, Reinforcement Learning, Deep Learning, Financial Statement Analysis, Data Storytelling, Computer Vision, Natural Language Processing, Risk Analysis, Predictive Modeling, Project Management Life Cycle, Time Series Analysis and Forecasting, MLOps (Machine Learning Operations), Marketing Analytics, Logistic Regression, Environmental Management Systems, Descriptive Analytics, Executive Presence, Simulations

    Degree · 1 - 4 Years

  • Multiple educators

    Managing AI Projects That Ship and Scale

    Beginner · Specialization

  • I

    IBM

    DataOps Methodology

    Skills you'll gain: Data Governance, Data Management, Data Modeling, Data Quality, Data Integration, Metadata Management, Data Transformation, Data Pipelines, Agile Methodology

    ★ 4.7 (59) · Beginner · Course · 1 - 3 Months

  • B

    Board Infinity

    Cloud FinOps

    Skills you'll gain: Cloud Management, Billing Systems, Cloud Technologies, Cloud Services, Billing, Operating Cost, Cloud Computing, Cloud Platforms, Cloud Solutions, Cost Containment, Cost Management, Expense Management, Billing & Invoicing, Cross-Functional Collaboration, Budget Management, Cost Reduction, Financial Controls, Business Operations, Accountability, Budgeting

    ★ 4.5 (8) · Intermediate · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Fundamentals of Cloud FinOps

    Skills you'll gain: Cloud Management, Cloud Computing, Cloud Services, Cloud Technologies, Cloud Platforms, Cost Management, Cloud Engineering, Cloud Deployment, Cost Control, Cross-Functional Collaboration, Expense Management, Billing Systems, Fiscal Management, Billing, Accountability, Account Management

    ★ 3.3 (18) · Intermediate · Course · 1 - 4 Weeks

  • P

    Pragmatic AI Labs

    Rust DataOps: CI/CD and Containers for Data Pipelines

    Skills you'll gain: CI/CD, Continuous Deployment, Continuous Integration, Continuous Delivery, DevOps, Rust (Programming Language), Docker (Software), Containerization, Devops Tools, Data Pipelines, YAML, Build Tools, GitHub, Automation

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Open Source LLMOps Solutions

    Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Fine-tuning, Natural Language Processing, Model Deployment, Open Source Technology, Containerization, C (Programming Language), Machine Learning, Cross Platform Development

    ★ 4.8 (26) · Beginner · Course · 1 - 4 Weeks

  • D

    Duke University

    Rust for Large Language Model Operations (LLMOps)

    Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Generative AI, Rust (Programming Language), Model Deployment, Cloud Deployment, PyTorch (Machine Learning Library), Applied Machine Learning, Model Training, Natural Language Processing, DevOps, Amazon Web Services, Machine Learning

    ★ 4.3 (15) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    DataOps: Automation & Reliability

    Skills you'll gain: Apache Airflow, Docker (Software), Git (Version Control System), SQL, Data Pipelines, Containerization, CI/CD, Debugging, Ansible, Database Management, Continuous Deployment, Performance Tuning, Infrastructure as Code (IaC), Continuous Integration, Workflow Management, DevOps, Automation, Configuration Management, Root Cause Analysis, Python Programming

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular mlops courses

  • Validate, Analyze, and Monitor ML Models: Coursera
  • BigQuery ML を推論に使用する: Google Cloud
  • Time Series Analysis with Spark: Packt
  • Maestría en Inteligencia Analítica de Datos: Universidad de los Andes
  • Managing AI Projects That Ship and Scale: 
  • DataOps Methodology : IBM
  • Cloud FinOps: Board Infinity
  • Fundamentals of Cloud FinOps: Board Infinity
  • Rust DataOps: CI/CD and Containers for Data Pipelines: Pragmatic AI Labs
  • Open Source LLMOps Solutions: Duke University

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