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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
    New
    Status: Free Trial
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    Board Infinity

    Model Serving Systems: Containers, APIs & Scalability

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Docker (Software), Containerization, Application Deployment, Restful API, Microservices, Continuous Deployment, API Design, Scalability, Application Programming Interface (API), Data Validation, Software Versioning, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Secure AI Interpret and Protect Models

    Skills you'll gain: AI Security, Threat Modeling, Security Engineering, Security Testing, IT Security Architecture, Security Architecture Review, Hardening, Continuous Monitoring, Security Controls, Security Requirements Analysis, Security Strategy, Model Training, Vulnerability Assessments, Data Integrity, Data Validation, Model Evaluation, Information Privacy, Generative Adversarial Networks (GANs), Analysis, Design

    Intermediate · Course · 1 - 4 Weeks

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

    Google Cloud

    Professional Cloud Architect Part 2: AI, Security, & Ops

    Skills you'll gain: Kubernetes, Infrastructure as Code (IaC), Application Performance Management, Terraform, Identity and Access Management, Generative AI Agents, Metadata Management, Google Cloud Platform, Cloud Computing Architecture, Data Sharing, Data Pipelines, Cloud-Native Computing, Cloud Development, Prompt Engineering, Serverless Computing, Cloud Infrastructure, Generative AI, Cloud Security, Dashboard Creation, MLOps (Machine Learning Operations)

    4.6
    Rating, 4.6 out of 5 stars
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    2.9K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Model Optimization, Google Cloud Platform, Generative AI Agents, Model Deployment, Tensorflow, Model Training, Dataflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, Prompt Engineering, Machine Learning Software, CI/CD, Machine Learning Methods, Generative AI, Model Evaluation, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
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    5K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Model Optimization, Generative AI Agents, Model Deployment, Tensorflow, Google Cloud Platform, Model Training, Keras (Neural Network Library), Machine Learning, Data Preprocessing, Prompt Engineering, Machine Learning Software, Machine Learning Methods, MLOps (Machine Learning Operations), Generative AI, Model Evaluation, Cloud Infrastructure, Prompt Engineering Tools, Data Cleansing, Cloud Computing

    4.5
    Rating, 4.5 out of 5 stars
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    9.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Machine Learning Engineer: ML and Deep Learning Models

    Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    B

    Board Infinity

    Building Real-Time ML Systems: APIs, Models, and Deployment

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Real Time Data, Containerization, Docker (Software), CI/CD, Model Training, Applied Machine Learning, Feature Engineering, Model Evaluation, Cloud Deployment, Model Optimization, Predictive Modeling, Web Scraping, Data Pipelines, Time Series Analysis and Forecasting, Exploratory Data Analysis, Spatial Data Analysis, Machine Learning, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    AI Product Management

    Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Experience Design, Unsupervised Learning, Model Training, User Experience Design, Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Regression Analysis, Project Management, Product Management, Product Design, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    1.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • N

    NVIDIA

    AI Infrastructure and Operations Fundamentals

    Skills you'll gain: Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Management, Generative AI, AI Orchestration, Cloud Deployment, Infrastructure Architecture, Cloud Infrastructure, Cloud Computing, AI Workflows, Devops Tools, Data Infrastructure, AI literacy, Deep Learning, Information Technology Operations, Machine Learning, Network Infrastructure, Data Centers

    4.6
    Rating, 4.6 out of 5 stars
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    499 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Data Governance, Apache Hadoop, Dashboard, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Data Access, Cloud API, Data Architecture, Data Quality, Data Cleansing, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edge Impulse

    Edge AI for Microcontrollers

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Embedded Software, Model Training, Embedded Systems, Machine Learning Software, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Responsible AI, Predictive Modeling, Artificial Intelligence, AI literacy, Machine Learning Methods, Anomaly Detection, AI Product Strategy, Prototyping, Product Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    904 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Managing AI Projects with Microsoft

    Skills you'll gain: MLOps (Machine Learning Operations), Azure DevOps, AI Product Strategy, Microsoft Azure, AI Enablement, Microsoft Copilot, Decision Intelligence, Solution Delivery, Responsible AI, Project Management, Cross-Functional Team Leadership, Business Metrics, Project Management Life Cycle, Agile Project Management, AI Workflows, Performance Measurement, Model Deployment, Cloud Management, AI literacy, Discussion Facilitation

    Intermediate · Professional Certificate · 3 - 6 Months

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