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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: New
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    Coursera

    ML: Build, Train, Justify Models

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Decision Tree Learning, Report Writing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    AI Product Management

    Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Project Management Life Cycle, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Mastering Application Performance Monitoring in AppDynamics

    Skills you'll gain: Dashboard, Application Performance Management, Role-Based Access Control (RBAC), MLOps (Machine Learning Operations), System Monitoring, Enterprise Application Management, Performance Tuning, Performance Analysis, Management Reporting, Performance Metric, Anomaly Detection, Real Time Data, Continuous Monitoring, Model Deployment, Devops Tools, Model Evaluation, Operational Performance Management, Site Reliability Engineering, DevOps, Root Cause Analysis

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Image Analysis, Anomaly Detection, Unsupervised Learning, Microsoft Azure, Natural Language Processing, Computer Vision, Artificial Intelligence, Applied Machine Learning, MLOps (Machine Learning Operations), AI Security, Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning, AI Workflows, Model Deployment, Classification Algorithms, Analytics

    4.5
    Rating, 4.5 out of 5 stars
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    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Transformers Unleashed: Master the Architecture of Modern AI

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Systems Architecture, Model Evaluation, Model Deployment, Extract, Transform, Load, Systems Design, Data Pipelines, Vision Transformer (ViT), System Design and Implementation, Software Documentation, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Apache Spark, Natural Language Processing, Pandas (Python Package), Cloud Deployment, Machine Learning, Computer Vision, Computational Thinking

    Intermediate · Professional Certificate · 3 - 6 Months

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    Whizlabs

    Fundamentals of AWS AI and ML Solutions

    Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Image Analysis, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Deep Learning, AI Personalization, Model Evaluation, Applied Machine Learning, Computer Vision, Machine Learning, Feature Engineering, Text Mining, Data Wrangling

    Beginner · Course · 1 - 4 Weeks

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    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Pragmatic AI Labs

    Generative AI and LLMs on Databricks

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Prompt Engineering Tools, Generative AI Agents, LLM Application, OpenAI, Claude Code, Anthropic Claude, Rust (Programming Language), Databricks, Embeddings, MLOps (Machine Learning Operations), Vector Databases, Data Architecture, DevOps, Python Programming, Software Architecture, Scala Programming, Governance

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Build & Evaluate NLP Transformer Pipelines

    Skills you'll gain: Large Language Modeling, MLOps (Machine Learning Operations), Applied Machine Learning, Performance Metric, Quality Assessment

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Machine Learning Made Easy for Software Engineers

    Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Data Validation, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Applied Machine Learning, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Automate and Evaluate ML Pipeline Tests

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Regression Testing, Unit Testing, Test Case, System Testing, Test Automation, Software Testing, Integration Testing, Test Planning, Verification And Validation, Anomaly Detection, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Debug ML Code: Fix, Trace & Evaluate

    Skills you'll gain: Regression Testing, Debugging, Unit Testing, Test Case, Code Review, Root Cause Analysis

    Intermediate · Course · 1 - 4 Weeks

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

  • ML: Build, Train, Justify Models: Coursera
  • AI Product Management: Duke University
  • Mastering Application Performance Monitoring in AppDynamics: Coursera
  • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
  • Transformers Unleashed: Master the Architecture of Modern AI: Coursera
  • Fundamentals of AWS AI and ML Solutions: Whizlabs
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • Generative AI and LLMs on Databricks: Pragmatic AI Labs
  • Build & Evaluate NLP Transformer Pipelines: Coursera
  • Machine Learning Made Easy for Software Engineers: Coursera

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