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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


  • C

    Coursera

    Statistical Inference & Predictive Modeling Foundations

    Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Dashboard Creation, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Descriptive Analytics, Simulations, Predictive Modeling, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Making, Decision Tree Learning, Keras (Neural Network Library)

    Intermediate · Specialization · 3 - 6 Months

  • C

    CertNexus

    Finalize a Data Science Project

    Skills you'll gain: Applied Machine Learning, Machine Learning, Machine Learning Methods, Data Storytelling, Stakeholder Engagement, Machine Learning Algorithms, Presentations, Data Presentation, Stakeholder Communications, MLOps (Machine Learning Operations), Model Training, Model Optimization, Web Applications, Continuous Deployment, Project Closure, Data-Driven Decision-Making, Data Visualization, Data Science, Data Pipelines, Communication

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Español

    Skills you'll gain: Google Cloud Platform, Generative AI, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), AI literacy, Artificial Intelligence, AI Workflows, Cloud Infrastructure, Agentic systems, Applied Machine Learning, Model Training, Model Deployment, Machine Learning, Predictive Modeling, No-Code Development

    ★ 4.1 (18) · Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Smart Analytics, Machine Learning, and AI on GCP 日本語版

    Skills you'll gain: Google Cloud Platform, Model Deployment, Big Data, Unstructured Data, MLOps (Machine Learning Operations), Tensorflow, Analytics, Data Pipelines, Model Training, Applied Machine Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Jupyter, Model Evaluation, Natural Language Processing

    ★ 4.5 (31) · Intermediate · Course · 1 - 3 Months

  • M

    Macquarie University

    Cyber Security: DevSecOps

    Skills you'll gain: DevSecOps, Secure Coding, Application Security, IT Security Architecture, DevOps, Security Engineering, Security Controls, CI/CD, Cybersecurity, Cyber Security Strategy, Cloud Security, Infrastructure as Code (IaC), Cloud Platforms, Vulnerability Management, Development Environment, Cloud Computing, Cloud Infrastructure, Cloud Computing Architecture, User Story, Backlogs

    Beginner · Course · 1 - 3 Months

  • M

    Microsoft

    Core generative models and techniques

    Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Model Evaluation, Microsoft Azure, Model Training, PyTorch (Machine Learning Library), Deep Learning, Time Series Analysis and Forecasting, Tensorflow, Image Analysis, Forecasting, Prototyping

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Applied Object Detection & Segmentation

    Skills you'll gain: Model Evaluation, Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Quality, Model Training, Image Analysis, Analysis, Computer Vision, Tensorflow, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Analysis, Docker (Software), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning Operations with Vertex AI: Model Evaluation

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Optimization, Responsible AI

    Intermediate · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Exam Prep DP-100: Microsoft Azure Data Scientist Associate

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Science, Machine Learning, Prompt Engineering Tools, Model Evaluation, Applied Machine Learning, Data Store, AI Workflows, Apache Spark, Data Strategy, Data Import/Export, Azure Synapse Analytics, Cloud Computing, Fine-tuning, Data Pipelines, Continuous Monitoring, Data Preprocessing, Scalability, Development Environment

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Secure AI Code & Libraries with Static Analysis

    Skills you'll gain: AI Security, Application Security, Secure Coding, DevSecOps, Security Testing, Threat Modeling, Vulnerability Scanning, Vulnerability Assessments, AI Personalization, Continuous Integration, Open Source Technology, CI/CD, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Dependency Analysis, Analysis, Package and Software Management, Program Implementation, Supply Chain

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Optimization, Model Evaluation, Data Transformation, Model Training, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, IBM Cloud, Python Programming

    ★ 4.3 (16) · Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Preparing for the Google Cloud Professional Data Engineer Exam 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Dataflow, Data Pipelines, Data Processing, Database Development, Model Deployment, Data Infrastructure, Data Architecture, Google Cloud Platform, Machine Learning, Cloud Security, Interactive Data Visualization, Data Visualization, Data Storytelling, Security Controls, Data Analysis, Data Governance, Data Strategy, Data Storage Technologies, Disaster Recovery

    ★ 4.7 (14) · Advanced · Course · 1 - 3 Months

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

  • Statistical Inference & Predictive Modeling Foundations: Coursera
  • Finalize a Data Science Project: CertNexus
  • Introduction to AI and Machine Learning on GC - Español: Google Cloud
  • Smart Analytics, Machine Learning, and AI on GCP 日本語版: Google Cloud
  • Cyber Security: DevSecOps: Macquarie University
  • Core generative models and techniques: Microsoft
  • Applied Object Detection & Segmentation: Coursera
  • Machine Learning Operations with Vertex AI: Model Evaluation: Google Cloud
  • Exam Prep DP-100: Microsoft Azure Data Scientist Associate: Whizlabs
  • Secure AI Code & Libraries with Static Analysis: Coursera

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