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MLOps Courses Online

Master MLOps for managing machine learning models in production. Learn about deployment, monitoring, and lifecycle management of ML models.


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Explore the MLOps Course Catalog

Sort by: Best Match
​
  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep MLS-C01: AWS Certified Specialty Machine Learning

    Skills you'll gain: AWS Kinesis, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Scalability, Forecasting, Feature Engineering, Algorithms, Machine Learning, Technical Design, Data Analysis, Real Time Data, Predictive Modeling, Applied Machine Learning, Data Modeling

    3.9
    Rating, 3.9 out of 5 stars
    ·
    40 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning, Containerization, Data Science, Python Programming, Performance Tuning, Scalability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Solve Business Problems with AI and Machine Learning

    Skills you'll gain: Data Ethics, Responsible AI, Business Ethics, Compliance Management, Applied Machine Learning, Project Implementation, AI Product Strategy, Business Solutions, Solution Design, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Machine Learning Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    102 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, Continuous Deployment, Microservices, User Feedback, Machine Learning, Performance Analysis, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    54 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Advanced AI and Machine Learning Techniques and Capstone

    Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, MLOps (Machine Learning Operations), Ethical Standards And Conduct, Microsoft Azure, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure for AI and Machine Learning

    Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Data Pipelines, Cloud Computing, Software Versioning, CI/CD, Continuous Monitoring, Debugging, Data Storage, Scalability, Data Quality

    4.7
    Rating, 4.7 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    GenAI and LLMs on AWS

    Skills you'll gain: Amazon Bedrock, AWS SageMaker, Large Language Modeling, MLOps (Machine Learning Operations), Amazon Web Services, Continuous Monitoring, Data Ethics, Secure Coding, Responsible AI, Application Deployment, Generative AI, Serverless Computing, Cloud Computing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements

    4.8
    Rating, 4.8 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Pearson

    AWS Certified AI Practitioner (AIF-C01)

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, AWS SageMaker, Artificial Intelligence, Large Language Modeling, AI Product Strategy, Amazon Web Services, Machine Learning, Business Technologies, MLOps (Machine Learning Operations), Business Solutions, Technology Strategies, Infrastructure Security, Compliance Management, Governance, Data Security

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Vertex AI Tabular Data: Qwik Start

    Skills you'll gain: Google Cloud Platform, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Classification And Regression Tree (CART), Cloud Computing

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SkillUp

    Building and Deploying GenAI Agents for Process Automation

    Skills you'll gain: Generative AI Agents, Automation, No-Code Development, Prompt Engineering, MLOps (Machine Learning Operations), Process Optimization, System Monitoring, Performance Analysis, Performance Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep DP-100: Microsoft Azure Data Scientist Associate

    Skills you'll gain: Responsible AI, Statistical Modeling, Microsoft Azure, MLOps (Machine Learning Operations), Prompt Engineering, Data Management, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Statistics, Cloud Computing, Application Deployment, Azure Synapse Analytics, Large Language Modeling, Data Pipelines, Generative AI, Data Processing, Machine Learning, Applied Machine Learning, Scalability, Continuous Monitoring

    Intermediate · Specialization · 1 - 3 Months

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

  • Exam Prep MLS-C01: AWS Certified Specialty Machine Learning: Whizlabs
  • AI Workflow: Enterprise Model Deployment: IBM
  • Solve Business Problems with AI and Machine Learning: CertNexus
  • AI Workflow: AI in Production: IBM
  • Advanced AI and Machine Learning Techniques and Capstone: Microsoft
  • Microsoft Azure for AI and Machine Learning: Microsoft
  • GenAI and LLMs on AWS: Duke University
  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
  • AWS Certified AI Practitioner (AIF-C01): Pearson
  • Vertex AI Tabular Data: Qwik Start: Google Cloud

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