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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


  • C

    Coursera

    Building Reliable LLM Systems

    Skills you'll gain: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Statistical Methods, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Python Programming

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Deploy, Evaluate and Create AI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Cloud Deployment, Continuous Deployment, Containerization, Docker (Software), DevOps, Release Management, Version Control, Continuous Delivery, Dependency Analysis, Performance Tuning, Performance Testing, Package and Software Management, Performance Analysis, Performance Metric, Application Performance Management, Application Development, Cost Benefit Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Integrate and Optimize AI Services Seamlessly

    Skills you'll gain: AI Integrations, Continuous Deployment, System Monitoring, API Testing, Middleware, Restful API, Site Reliability Engineering, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Evaluate & Swap Models in Java ML

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Classification Algorithms, Model Deployment, Machine Learning Software, Applied Machine Learning, Machine Learning Algorithms, Java, Software Design Patterns, Data-Driven Decision-Making, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Databricks ML in Action

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, Data Preprocessing, Applied Machine Learning, Data Lakes, Extract, Transform, Load, AI Workflows, Hugging Face, Data Pipelines, PySpark, Vector Databases, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Architecture, Machine Learning, Artificial Intelligence

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 繁體中文

    Skills you'll gain: Google Cloud Platform, Generative AI Agents, Generative AI, MLOps (Machine Learning Operations), Generative Model Architectures, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Applied Machine Learning, Model Deployment, Infrastructure Architecture, Model Training, Artificial Intelligence, Data Processing, Machine Learning, Data Preprocessing, No-Code Development

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    ML Pipelines on Google Cloud en Español

    Skills you'll gain: Apache Airflow, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Model Deployment, Kubernetes, Continuous Deployment, Tensorflow, Metadata Management, Model Training, Model Optimization, Model Evaluation, Containerization, Data Validation

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning in the Enterprise - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Model Deployment, Google Cloud Platform, Data Governance, Data Management, Workflow Management, AI Workflows, Data Store, Model Optimization, Predictive Modeling, Machine Learning, Data Pipelines, AI Orchestration, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Apply Test-Driven ML Code

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), Continuous Integration, CI/CD, Software Testing, Continuous Deployment, Testability, Test Script Development, Model Training, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Applied Machine Learning, Software Engineering, Code Reusability, Machine Learning Methods, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Scale Kubernetes: Optimize Your Systems

    Skills you'll gain: Scalability, Dashboard, Kubernetes, Capacity Management, Analysis, Performance Tuning, MLOps (Machine Learning Operations), Scenario Testing, Memory Management, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Mastering Application Performance Monitoring in AppDynamics

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

    Beginner · Specialization · 1 - 3 Months

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

  • Building Reliable LLM Systems: Coursera
  • Deploy, Evaluate and Create AI Systems: Coursera
  • Integrate and Optimize AI Services Seamlessly: Coursera
  • Evaluate & Swap Models in Java ML: Coursera
  • Databricks ML in Action: Packt
  • Introduction to AI and Machine Learning on GC - 繁體中文: Google Cloud
  • ML Pipelines on Google Cloud en Español: Google Cloud
  • Machine Learning in the Enterprise - Português Brasileiro: Google Cloud
  • Apply Test-Driven ML Code: Coursera
  • Scale Kubernetes: Optimize Your Systems: Coursera

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