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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


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    Technical University of Munich (TUM)

    From Zero to Hero - Digital Product Development From Scratch

    Skills you'll gain: Amazon Bedrock, MLOps (Machine Learning Operations), Product Development, User Experience Design, Model Evaluation, Design Thinking, AI Product Strategy, User Research, Amazon Web Services, New Product Development, Generative AI, Innovation, Machine Learning, Design Research, Problem Management

    4.5
    Rating, 4.5 out of 5 stars
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    51 reviews

    Beginner · Course · 1 - 3 Months

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    Google Cloud

    ML Pipelines on Google Cloud en Español

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

    Advanced · Course · 1 - 3 Months

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    Google Cloud

    ML Pipelines on Google Cloud - Français

    Skills you'll gain: Tensorflow, MLOps (Machine Learning Operations), CI/CD, Google Cloud Platform, Data Pipelines, Model Deployment, Metadata Management, Kubernetes, AI Workflows, AI Orchestration, Performance Tuning, Containerization, Scalability

    Advanced · Course · 1 - 3 Months

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    Google Cloud

    ML Pipelines on Google Cloud - 한국어

    Skills you'll gain: CI/CD, Apache Airflow, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Kubernetes, Metadata Management, Model Deployment, AI Orchestration, Model Evaluation, Containerization

    Advanced · Course · 1 - 3 Months

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    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Data Preprocessing, Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Data Migration, Apache Airflow, Model Evaluation, Data Lakes, Scikit Learn (Machine Learning Library), Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
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    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    Coursera

    Design & Secure LLM APIs for Scalability

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

    Intermediate · Course · 1 - 4 Weeks

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    SAS

    Managing Machine Learning Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Business Process, Governance Risk Management and Compliance, Continuous Monitoring, SAS (Software), Text Mining, R Programming, Scheduling

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    LangGraph Framework

    Skills you'll gain: LangGraph, AI Orchestration, LangChain, LLM Application, Agentic Workflows, Generative AI Agents, MLOps (Machine Learning Operations), Context Management, Distributed Computing, Software Design Patterns

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Harden AI: Secure Your ML Pipelines

    Skills you'll gain: AI Security, Vulnerability Scanning, Hardening, DevSecOps, Vulnerability Assessments, Responsible AI, Identity and Access Management, MLOps (Machine Learning Operations), Infrastructure Security, Security Controls, Threat Modeling, Model Deployment, Model Evaluation, CI/CD, Continuous Monitoring, AI Personalization, Resilience, Compliance Management, Containerization, Engineering

    Intermediate · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Transfer Learning, Deep Learning, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, AI Product Strategy, Model Evaluation, Data-Driven Decision-Making, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
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    50K reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Secure AI Code & Libraries with Static Analysis

    Skills you'll gain: AI Security, Application Security, Secure Coding, DevSecOps, Open Web Application Security Project (OWASP), Responsible AI, Threat Modeling, Vulnerability Scanning, AI Personalization, Continuous Integration, Code Review, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Dependency Analysis, Analysis, Program Implementation, Supply Chain

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Optimize Java Memory for ML Performance

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

    Advanced · Course · 1 - 4 Weeks

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

  • From Zero to Hero - Digital Product Development From Scratch: Technical University of Munich (TUM)
  • ML Pipelines on Google Cloud en Español: Google Cloud
  • ML Pipelines on Google Cloud - Français: Google Cloud
  • ML Pipelines on Google Cloud - 한국어: Google Cloud
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Design & Secure LLM APIs for Scalability: Coursera
  • Managing Machine Learning Models: SAS
  • LangGraph Framework: Coursera
  • Harden AI: Secure Your ML Pipelines: Coursera
  • Structuring Machine Learning Projects: DeepLearning.AI

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