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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

    Calibrate and Serve Confident AI Predictions

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AI Workflows, Applied Machine Learning, Model Optimization, Data Pipelines, Responsible AI, Statistical Modeling

    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

  • G

    Google Cloud

    Production Machine Learning Systems - Français

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Model Training, Tensorflow, Machine Learning Methods, Model Evaluation, Systems Architecture, Model Optimization, Applied Machine Learning, Data Validation, Distributed Computing, Performance Tuning, Data Pipelines, Scalability, Hybrid Cloud Computing, Dependency Analysis

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Optimize and Manage Your ML Codebase

    Skills you'll gain: MLOps (Machine Learning Operations), Model Optimization, Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Versioning, Release Management, Continuous Delivery, Performance Testing, PyTorch (Machine Learning Library), Test Automation, Performance Improvement

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    BigQuery Machine Learning für Inferenzen nutzen

    Skills you'll gain: Big Data, Analytics, Data Analysis, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Google Cloud Platform, Model Deployment, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Applied Machine Learning and Model Optimization

    Skills you'll gain: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Predictive Modeling, Model Training, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Data Transformation, Fine-tuning

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

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

    Skills you'll gain: Prompt Engineering, Generative AI, Google Cloud Platform, Generative AI Agents, Google Gemini, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Agentic Workflows, Infrastructure Architecture, Artificial Intelligence, AI literacy, AI Orchestration, Big Data, Applied Machine Learning, Model Deployment, Model Training, Data Preprocessing, Machine Learning

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Reproduce and Evaluate AI Research Workflows

    Skills you'll gain: Configuration Management, Experimentation, Software Documentation, Software Versioning, Software Configuration Management, Collaborative Software, Testability, Workflow Management, Development Environment

    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

  • 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

  • C

    Coursera

    Validate Multimodal Data: Ensure Quality

    Skills you'll gain: Data Integrity, Verification And Validation, Record Keeping, Reconciliation, Debugging, Auditing

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate & Secure LLM Deployments

    Skills you'll gain: LLM Application, Model Deployment, CI/CD, Amazon CloudWatch, Infrastructure as Code (IaC), Application Deployment, Cloud Deployment, DevSecOps, Enterprise Security, DevOps, Docker (Software), AI Security, Cloud Management, System Monitoring

    Intermediate · Course · 1 - 4 Weeks

1…313233…35

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

  • Calibrate and Serve Confident AI Predictions: Coursera
  • Mastering Application Performance Monitoring in AppDynamics: Coursera
  • Production Machine Learning Systems - Français: Google Cloud
  • Optimize and Manage Your ML Codebase: Coursera
  • BigQuery Machine Learning für Inferenzen nutzen: Google Cloud
  • Applied Machine Learning and Model Optimization: Packt
  • Introduction to AI and Machine Learning on GC - 繁體中文: Google Cloud
  • Reproduce and Evaluate AI Research Workflows: Coursera
  • Analyze & Deploy Scalable LLM Architectures: Coursera
  • Monitor, Scale and Backup Your AI App: Coursera

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