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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


  • Status: New
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    Status: Free Trial
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    Coursera

    Testing and Refining LLM Applications

    Skills you'll gain: MLOps (Machine Learning Operations), LLM Application, AI Security, Test Automation, Test Driven Development (TDD), Code Coverage, Unit Testing, CI/CD, Continuous Integration, Testability, Large Language Modeling, Model Deployment, Responsible AI, Maintainability, AI Workflows, Scripting, Software Engineering, Python Programming, Statistical Analysis, SQL

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Pragmatic AI Labs

    Machine Learning with Databricks and MLflow

    Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Build Testable Python Packages for AI

    Skills you'll gain: MLOps (Machine Learning Operations), Package and Software Management, Unit Testing, Testability, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    Edureka

    Building LLMs with Hugging Face and LangChain

    Skills you'll gain: LangChain, LLM Application, Hugging Face, Retrieval-Augmented Generation, OpenAI API, LangGraph, Model Deployment, AI Workflows, Large Language Modeling, AI Orchestration, Generative AI, Generative Model Architectures, CI/CD, Embeddings, Text Mining, Containerization, Restful API, Open Source Technology, Data Preprocessing, Docker (Software)

    1.8
    Rating, 1.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Model Deployment, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
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    88 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Advancing Your Career in Production AI

    Skills you'll gain: Responsible AI, Data Ethics, Model Deployment, AI Product Strategy, Technical Design, Prompt Engineering, AI Security, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Technical Communication, Communication, AI Workflows, MLOps (Machine Learning Operations), LLM Application, Apache Airflow, System Design and Implementation, Python Programming, CI/CD, SQL, AWS CloudFormation

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español

    Skills you'll gain: Model Evaluation, Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Model Deployment, Machine Learning Methods, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Java Programming, Java, Feature Engineering, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

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    Google Cloud

    MLOps with Vertex AI: Manage Features - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Feature Engineering, Data Modeling, Data Storage Technologies, Data Storage, Data Processing, Data Quality

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    MLOps with Vertex AI: Manage Features - 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Google Cloud Platform, Data Modeling, Data Processing, Data Storage, Data Management, Data Quality

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    MLOps with Vertex AI: Manage Features - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Processing, Data Modeling, Data Management, Applied Machine Learning, Data Storage, Data Import/Export, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Français

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Responsible AI, Data Quality

    Intermediate · Course · 1 - 4 Weeks

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

  • Testing and Refining LLM Applications: Coursera
  • Machine Learning with Databricks and MLflow: Pragmatic AI Labs
  • Build Testable Python Packages for AI: Coursera
  • Building LLMs with Hugging Face and LangChain: Edureka
  • Cloud Machine Learning Engineering and MLOps: Duke University
  • Advancing Your Career in Production AI: Coursera
  • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español: Google Cloud
  • ML Concepts, Models & Workflow Essentials: Coursera
  • MLOps with Vertex AI: Manage Features - 한국어: Google Cloud
  • MLOps with Vertex AI: Manage Features - 日本語版: Google Cloud

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