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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.


More to explore:

Popular MLOps Courses and Certifications


  • C

    Coursera

    Monitor, Scale and Backup Your AI App

    Skills you'll gain: Site Reliability Engineering, Scalability, Performance Analysis, Data Maintenance, Analytics, Event Monitoring, Service Level Agreement, System Support, Performance Review

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Evaluate and Reproduce Data Findings Fast

    Skills you'll gain: Sample Size Determination, Data Strategy, Analytical Skills, Data-Driven Decision-Making, Data Analysis, Analytics, Jupyter, Data Science, Statistical Analysis, Data Collection, Data Mining, Data Management, MLOps (Machine Learning Operations), Research and Design, Version Control, Software Documentation

    Intermediate · Course · 1 - 4 Weeks

  • H

    H2O.ai

    H2O Cloud AI Developer Services

    Skills you'll gain: AI Enablement, Cloud Development, Large Language Modeling, Image Analysis, AI Workflows, Feature Engineering, Cloud Services, Applied Machine Learning, Computer Vision, MLOps (Machine Learning Operations), Artificial Intelligence, Transfer Learning, Model Deployment, Generative AI, Natural Language Processing, Data Integration

    Intermediate · Course · 1 - 3 Months

  • S

    SAS

    SAS Certification Practice Exams

    Skills you'll gain: Model Deployment, Logistic Regression, Probability & Statistics, Statistics, Model Evaluation, Classification And Regression Tree (CART)

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate Data Onboarding, Validate, and Govern

    Skills you'll gain: Data Governance, General Data Protection Regulation (GDPR), Data Management, Data Strategy, Metadata Management, Data Architecture, Compliance Management, Data Storage Technologies, Data Integration, Cost Reduction, Data Maintenance, Data Processing, Information Privacy, Data Storage, MLOps (Machine Learning Operations), Data Quality, AI Enablement, Analytics, Extract, Transform, Load, Expense Management

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize AI: Build Robust Ensemble Models

    Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning in the Enterprise - 日本語版

    Skills you'll gain: Model Deployment, Data Governance, MLOps (Machine Learning Operations), Data Management, Forecasting, Google Cloud Platform, AI Workflows, Enterprise Modeling, Model Evaluation, Data Pipelines, Data Preprocessing, Machine Learning, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    ML Pipelines on Google Cloud - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, CI/CD, Apache Airflow, Tensorflow, Data Pipelines, Kubernetes, Model Deployment, AI Orchestration, Metadata Management, AI Workflows, Model Evaluation, Containerization, Scalability

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Optimize Java Memory for ML Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Containerization, Performance Tuning, Docker (Software), Java, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures

    Advanced · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 한국어

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, AI Workflows, Natural Language Processing, Infrastructure Architecture, Big Data, Applied Machine Learning, Model Deployment, Machine Learning

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Deployment, Data Pipelines, Google Cloud Platform, Artificial Neural Networks, Data Transformation, Deep Learning, Cloud Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Embeddings, Data Processing

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 繁體中文

    Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Applied Machine Learning, AI Workflows, Machine Learning, Data Preprocessing, No-Code Development, Natural Language Processing

    Beginner · Course · 1 - 3 Months

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

  • Monitor, Scale and Backup Your AI App: Coursera
  • Evaluate and Reproduce Data Findings Fast: Coursera
  • H2O Cloud AI Developer Services: H2O.ai
  • SAS Certification Practice Exams: SAS
  • Automate Data Onboarding, Validate, and Govern: Coursera
  • Optimize AI: Build Robust Ensemble Models: Coursera
  • Machine Learning in the Enterprise - 日本語版: Google Cloud
  • ML Pipelines on Google Cloud - Français: Google Cloud
  • Optimize Java Memory for ML Performance: Coursera
  • Introduction to AI and Machine Learning on GC - 한국어: Google Cloud

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