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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.


Popular MLOps Courses and Certifications


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate en Español

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    815 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    350 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate 日本語版

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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    296 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Operationalizing LLMs on Azure

    Skills you'll gain: Large Language Modeling, LLM Application, Prompt Engineering, Microsoft Azure, OpenAI, Risk Management Framework, MLOps (Machine Learning Operations), Responsible AI, Cloud Computing, Generative AI, Application Deployment, Application Programming Interface (API), Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud en Español

    Skills you'll gain: Google Cloud Platform, Data Lakes, Data Pipelines, Dataflow, Apache Kafka, Tensorflow, Extract, Transform, Load, Big Data, Dashboard, Cloud Infrastructure, Apache Spark, Data Warehousing, Data Visualization, Unstructured Data, Data Architecture, Applied Machine Learning, Data Infrastructure, Real Time Data, MLOps (Machine Learning Operations), Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    813 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Perform data science with Azure Databricks

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Processing, Deep Learning, Data Transformation, Machine Learning, Exploratory Data Analysis

    3.2
    Rating, 3.2 out of 5 stars
    ·
    78 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Data Transformation, SQL, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    61 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    A

    Amazon Web Services

    AWS Generative AI Applications

    Skills you'll gain: Responsible AI, Generative AI, Generative AI Agents, Prompt Engineering, Amazon Bedrock, AWS SageMaker, AI Product Strategy, Amazon Web Services, MLOps (Machine Learning Operations), Application Development, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Data Governance, Large Language Modeling, Commercialization, API Design, Cost Management, Solution Architecture, Data Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    95 reviews

    Beginner · Professional Certificate · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Prepare for DP-100: Data Science on Microsoft Azure Exam

    Skills you'll gain: Databricks, Responsible AI, Microsoft Azure, Data Science, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    72 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google Cloud

    Google Cloud AI Infrastructure

    Skills you'll gain: Tensorflow, Google Cloud Platform, Cloud Infrastructure, Hardware Architecture, Application Deployment, Infrastructure Architecture, Infrastructure As A Service (IaaS), Cloud Computing Architecture, Performance Tuning, Computer Hardware, Computer Architecture, MLOps (Machine Learning Operations), Cloud Platforms, Business Workflow Analysis, Interoperability, Artificial Intelligence, Product Demonstration, Performance Improvement, Systems Architecture, Benchmarking

    4.3
    Rating, 4.3 out of 5 stars
    ·
    20 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Amazon Web Services

    AI Fundamentals and the Cloud

    Skills you'll gain: Responsible AI, Amazon Bedrock, AWS SageMaker, Amazon Web Services, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Large Language Modeling, Application Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    65 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Keras (Neural Network Library), Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Data Strategy, Business Metrics, Machine Learning Algorithms, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Data Pipelines, Performance Tuning, Deep Learning, Data Transformation, Data Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    448 reviews

    Intermediate · Specialization · 3 - 6 Months

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1…101112…24

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

  • Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate en Español: Google Cloud
  • IBM AI Enterprise Workflow: IBM
  • Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate 日本語版: Google Cloud
  • Operationalizing LLMs on Azure: Duke University
  • Data Engineering, Big Data and ML on Google Cloud en Español: Google Cloud
  • Perform data science with Azure Databricks: Microsoft
  • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
  • AWS Generative AI Applications: Amazon Web Services
  • Prepare for DP-100: Data Science on Microsoft Azure Exam: Microsoft
  • Google Cloud AI Infrastructure: Google Cloud

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