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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


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    G

    Google Cloud

    ML Pipelines on Google Cloud en Español

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Apache Airflow, Data Pipelines, Kubernetes, Tensorflow, Continuous Deployment, Continuous Integration, Metadata Management, AI Orchestration, PyTorch (Machine Learning Library)

    Advanced · Course · 1 - 3 Months

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    Coursera

    Evaluate & Swap Models in Java ML

    Skills you'll gain: Model Evaluation, Data Preprocessing, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Maintainability, Machine Learning Algorithms, Java, Software Architecture, Software Design Patterns, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Deutsch

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

    Beginner · Course · 1 - 3 Months

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    Coursera

    Automate & Secure LLM Deployments

    Skills you'll gain: LLM Application, CI/CD, Amazon CloudWatch, Infrastructure as Code (IaC), Cloud Deployment, DevSecOps, Enterprise Security, DevOps, Docker (Software), Cloud Management, System Monitoring, Performance Testing

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Generative AI Application Integration Patterns

    Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, Prompt Engineering, ChatGPT, AI Enablement, AI Security, Cloud Development, AI Workflows, Data Ethics, Real Time Data, Large Language Modeling, Model Deployment, Cloud Computing Architecture, Artificial Intelligence, MLOps (Machine Learning Operations), Deep Learning, Scalability, System Monitoring

    Beginner · Course · 1 - 3 Months

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    Coursera

    Optimize AI: Plan, Evaluate, and Learn

    Skills you'll gain: Risk Analysis, Risk Management Framework, Decision Making, AI Enablement, Continuous Deployment, Project Management Software, Strategic Decision-Making, Operational Analysis, Release Management, Project Planning, Predictive Modeling, A/B Testing, Business Priorities, Operational Efficiency, Algorithms, Experimentation, Advanced Analytics, Procedure Development, Product Planning, Product Development

    Intermediate · Course · 1 - 4 Weeks

  • H

    H2O.ai

    Data Science and Machine Learning H2O.ai Platforms

    Skills you'll gain: Model Deployment, Generative AI, Data Wrangling, Project Planning, Data Preprocessing, Responsible AI, Data Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, AI Enablement, MLOps (Machine Learning Operations), Data Science, Prompt Engineering, Model Evaluation, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Build & Evaluate Decision Trees for ML

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Applied Machine Learning, Java, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Feature Engineering, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Machine Learning, Algorithms

    Advanced · Course · 1 - 4 Weeks

  • G

    Google Cloud

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

    Skills you'll gain: Prompt Engineering, Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, AI Orchestration, Big Data, Model Deployment, No-Code Development

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    SAS

    Managing Machine Learning Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Business Process, Governance Risk Management and Compliance, Continuous Monitoring, SAS (Software), Text Mining, R Programming, Scheduling

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    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

  • 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

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

  • ML Pipelines on Google Cloud en Español: Google Cloud
  • Evaluate & Swap Models in Java ML: Coursera
  • Introduction to AI and Machine Learning on GC - Deutsch: Google Cloud
  • Automate & Secure LLM Deployments: Coursera
  • Generative AI Application Integration Patterns: Packt
  • Optimize AI: Plan, Evaluate, and Learn: Coursera
  • Data Science and Machine Learning H2O.ai Platforms: H2O.ai
  • Build & Evaluate Decision Trees for ML: Coursera
  • Introduction to AI and Machine Learning on GC - 繁體中文: Google Cloud
  • Managing Machine Learning Models: SAS

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