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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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    Packt

    Real-World Edge Computing

    Skills you'll gain: Application Deployment, Containerization, Kubernetes, Cloud Development, MLOps (Machine Learning Operations), Cloud Computing, Docker (Software), Application Security, DevOps, Network Infrastructure, Network Security, Microservices, Distributed Computing, Software Design, Software Development, Linux

    Intermediate · Course · 3 - 6 Months

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    Coursera

    Optimize ML Models: Hyperparameter Tuning

    Skills you'll gain: Model Evaluation, Performance Tuning, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Document AI: Project & API Writing

    Skills you'll gain: Software Documentation, Engineering Documentation, Technical Documentation, Technical Writing, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

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    Edge Impulse

    Edge AI for Microcontrollers

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Embedded Software, Embedded Systems, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Anomaly Detection, AI Product Strategy, Cloud Computing, Internet Of Things, Product Engineering, Prototyping, Industrial Engineering, Product Development, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    887 reviews

    Intermediate · Specialization · 1 - 3 Months

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    Coursera

    Architect AI Solutions: From Needs to Models

    Skills you'll gain: Requirements Analysis, Solution Design, Functional Requirement, Business Requirements, Scalability, Systems Integration

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Edge Impulse

    Edge AI Fundamentals

    Skills you'll gain: MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Machine Learning Methods, Deep Learning, Computer Vision, Anomaly Detection, Convolutional Neural Networks, Machine Learning, Cloud Computing, Internet Of Things, Product Engineering, Embedded Systems, Industrial Engineering, Data Science, Product Development

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Google Cloud

    Mendeploy dan Menskalakan Model AI dengan Cloud Run

    Skills you'll gain: Google Cloud Platform, Model Deployment, Serverless Computing, Cloud Deployment, Generative AI, Cloud Applications, Application Deployment, AI Enablement, MLOps (Machine Learning Operations), Data Integration, Containerization, Data Storage Technologies, Machine Learning Methods, Performance Tuning, Scalability

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Validate Multimodal Data: Ensure Quality

    Skills you'll gain: Data Integrity, Verification And Validation, Reconciliation, Debugging, Auditing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Python Programming and Data Science Foundations for AI

    Skills you'll gain: Object Oriented Programming (OOP), Data Visualization, Seaborn, Flask (Web Framework), Programming Principles, Web Applications, Statistical Methods, Data Analysis Software, Pandas (Python Package), Probability & Statistics, Data Manipulation, Data Structures, UI Components

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Integrate, Scale, and Monitor ML Microservices

    Skills you'll gain: Microservices, MLOps (Machine Learning Operations), Application Performance Management, Site Reliability Engineering, Testability, Continuous Monitoring, Maintainability, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Optimizing and Governing AI Systems

    Skills you'll gain: Responsible AI, Risking, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, AI Enablement, AI Product Strategy, System Monitoring, Model Evaluation, Performance Tuning, Compliance Management, Technology Roadmaps, Prompt Engineering, Machine Learning, Risk Management, Generative AI, Data-Driven Decision-Making, Performance Analysis, Statistical Analysis, Cross-Functional Collaboration

    Intermediate · Course · 3 - 6 Months

  • Status: New
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    Coursera

    Optimizing AI System Operations and Costs

    Skills you'll gain: Cloud Management, Patch Management, MLOps (Machine Learning Operations), Data Governance, Financial Forecasting, AI Security, Incident Management, Ansible, Operations, Budgeting, Cost Reduction, IT Automation, Data Management, Metadata Management, Site Reliability Engineering, Compliance Management, Cost Management, System Monitoring, Predictive Modeling, Financial Management

    Intermediate · Course · 1 - 3 Months

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

  • Real-World Edge Computing: Packt
  • Optimize ML Models: Hyperparameter Tuning : Coursera
  • Document AI: Project & API Writing: Coursera
  • Edge AI for Microcontrollers: Edge Impulse
  • Architect AI Solutions: From Needs to Models: Coursera
  • Edge AI Fundamentals: Edge Impulse
  • Mendeploy dan Menskalakan Model AI dengan Cloud Run: Google Cloud
  • Validate Multimodal Data: Ensure Quality: Coursera
  • Python Programming and Data Science Foundations for AI: Packt
  • Integrate, Scale, and Monitor ML Microservices: Coursera

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