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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

    Engineer, Validate, and Govern ML Data

    Skills you'll gain: Apache Airflow, Data Governance, Data Management, Apache Spark, PySpark, Databricks, Record Keeping

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize Java Memory for ML Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Containerization, Model Optimization, Performance Tuning, Memory Management, Docker (Software), Java, Java Programming, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Document AI: Project & API Writing

    Skills you'll gain: Software Documentation, Engineering Documentation, Technical Documentation, Model Training, Software Design Documents, Technical Writing, Generative Model Architectures, Technical Communication, Restful API

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Deutsch

    Skills you'll gain: Google Cloud Platform, Google Gemini, MLOps (Machine Learning Operations), Generative AI, Generative AI Agents, Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Cloud Infrastructure, Agentic Workflows, Big Data, Model Deployment, Natural Language Processing, Prompt Engineering, Model Training, Applied Machine Learning, Large Language Modeling, Machine Learning, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Automate Cloud Workflows with Python Scripting

    Skills you'll gain: Infrastructure as Code (IaC), Scripting, Data Persistence, Python Programming, AI Workflows, Command-Line Interface, Virtual Machines, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Harden AI: Patch and Recover Incidents Fast

    Skills you'll gain: Incident Response, AI Security, Incident Management, Model Deployment, Site Reliability Engineering, Patch Management, MLOps (Machine Learning Operations), System Monitoring, Problem Management, Computer Security Incident Management, Package and Software Management, Continuous Monitoring, Dependency Analysis, Disaster Recovery, Anomaly Detection, Application Deployment, Automation, Dashboard Creation

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Monitor, Scale and Backup Your AI App

    Skills you'll gain: Site Reliability Engineering, Scalability, Performance Analysis, Event Monitoring, Service Level Agreement, Dashboard Creation, Performance Review

    Intermediate · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Practical Machine Learning without Coding

    Skills you'll gain: No-Code Development, Model Training, Model Deployment, Model Optimization, Applied Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Performance Measurement, Business Metrics, Responsible AI, Cloud Deployment, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Compliance Management

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate, Analyze, and Evaluate ML Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Apache Airflow, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Verification And Validation, Content Performance Analysis, Automation, Statistical Methods, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Analyze & Deploy Scalable LLM Architectures

    Skills you'll gain: Retrieval-Augmented Generation, Model Deployment, Kubernetes, Containerization, LLM Application, Cloud-Native Computing, Application Deployment, Large Language Modeling, Release Management, MLOps (Machine Learning Operations), Configuration Management, Continuous Delivery, Scalability, Application Performance Management, Performance Tuning, Performance Analysis, Systems Analysis, Analysis, Data-Driven Decision-Making

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Vertex AI でノートブックを使用する

    Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Model Deployment, AI Workflows, Google Cloud Platform, Data Preprocessing, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Time Series Analysis with Spark

    Skills you'll gain: Model Deployment, Apache Spark, Time Series Analysis and Forecasting, MLOps (Machine Learning Operations), Big Data, Feature Engineering, Statistical Analysis, Distributed Computing, Forecasting, Anomaly Detection, Generative AI, Predictive Modeling, Model Training, Exploratory Data Analysis, Data Pipelines, Model Evaluation, Data Cleansing, Data Transformation, Data Quality, Statistical Modeling

    Intermediate · Course · 1 - 3 Months

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

  • Engineer, Validate, and Govern ML Data: Coursera
  • Optimize Java Memory for ML Performance: Coursera
  • Document AI: Project & API Writing: Coursera
  • Introduction to AI and Machine Learning on GC - Deutsch: Google Cloud
  • Automate Cloud Workflows with Python Scripting: Coursera
  • Harden AI: Patch and Recover Incidents Fast: Coursera
  • Monitor, Scale and Backup Your AI App: Coursera
  • Practical Machine Learning without Coding: LearnQuest
  • Automate, Analyze, and Evaluate ML Experiments: Coursera
  • Analyze & Deploy Scalable LLM Architectures: Coursera

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