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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


  • S

    Starweaver

    GenAI Model Development and Production Engineering

    Skills you'll gain: Fine-tuning, Generative AI Agents, Model Deployment, Generative AI, Transfer Learning, Kubernetes, Containerization, Enterprise Application Management, Docker (Software), Cloud Infrastructure, Scalability, Model Optimization, MLOps (Machine Learning Operations), Large Language Modeling, Infrastructure Architecture, Continuous Deployment, Continuous Monitoring, Process Optimization, Automation, Job Evaluation

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    ML Pipelines on Google Cloud - 한국어

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

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Evaluating LLM Performance and Efficiency

    Skills you'll gain: Product Requirements, Prompt Engineering, Prompt Patterns, LLM Application, Product Lifecycle Management, Process Design, Process Mapping, Token Optimization, User Requirements Documents, MLOps (Machine Learning Operations), Operational Efficiency, Business Process Automation, Product Management, Large Language Modeling, Model Optimization, Process Driven Development, Cost Containment, Process Optimization, Key Performance Indicators (KPIs), Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Docker for AI/ML

    Skills you'll gain: Model Context Protocol, Docker (Software), Development Environment, LLM Application, Containerization, Large Language Modeling, Model Deployment, Hugging Face, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, OpenAI API, Application Deployment, Agentic Workflows, AI Integrations, Agentic systems, Jupyter

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Présentation de l'IA et du machine learning sur Google Cloud

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

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    ML: Build, Train, Justify Models

    Skills you'll gain: Model Training, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Predictive Analytics, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deploying Open Models

    Skills you'll gain: Model Deployment, Docker (Software), Containerization, Cloud Deployment, Application Deployment, MLOps (Machine Learning Operations), Hugging Face, Generative AI, Cloud Computing Architecture, Serverless Computing, Cloud Hosting, Cloud Technologies, Cloud Platforms, Security Controls, System Monitoring, Configuration Management, Release Management, Infrastructure Security, Continuous Monitoring, Application Performance Management

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Portfolio and Industry Readiness for Agentic AI Architects

    Skills you'll gain: Agentic Workflows, Technical Communication, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Professional Development, Generative AI Agents, MLOps (Machine Learning Operations), Technical Documentation, Coaching, Technical Writing, Portfolio Management, Project Documentation, Problem Solving, Communication Strategies, GitHub

    Intermediate · Course · 1 - 4 Weeks

  • S

    SAS

    SAS Certification Practice Exams

    Skills you'll gain: Model Deployment, Logistic Regression, Model Training, Probability & Statistics, Model Evaluation, Statistical Software, Machine Learning Methods, Machine Learning Software

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize AI: Build Reusable Model Pipelines

    Skills you'll gain: Model Optimization, Model Deployment, AI Workflows, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning in the Enterprise - Français

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

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Design & Secure LLM APIs for Scalability

    Skills you'll gain: API Design, Application Programming Interface (API), Cloud API, AI Security, Cloud Management, Security Controls, Application Performance Management, Load Balancing, Incident Response, MLOps (Machine Learning Operations), GitHub, Python Programming, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

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

  • GenAI Model Development and Production Engineering: Starweaver
  • ML Pipelines on Google Cloud - 한국어: Google Cloud
  • Evaluating LLM Performance and Efficiency: Coursera
  • Docker for AI/ML: Packt
  • Présentation de l'IA et du machine learning sur Google Cloud: Google Cloud
  • ML: Build, Train, Justify Models: Coursera
  • Deploying Open Models: Coursera
  • Portfolio and Industry Readiness for Agentic AI Architects: Coursera
  • SAS Certification Practice Exams: SAS
  • Optimize AI: Build Reusable Model Pipelines: Coursera

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