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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


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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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    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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    Coursera

    AI Systems Reliability & Security

    Skills you'll gain: Model Deployment, Multi-Cloud, Cloud Security, AI Security, MLOps (Machine Learning Operations), DevSecOps, Cloud Management, Investigation, Microservices, Site Reliability Engineering, Security Controls, CI/CD, System Monitoring, Infrastructure as Code (IaC), Compliance Management, Automation, Kubernetes, Docker (Software), Incident Management, Performance Analysis

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    GenAI Deployment & Governance

    Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Prompt Engineering, Continuous Deployment, Generative AI, System Monitoring, CI/CD, Responsible AI, Automation, DevOps, Compliance Management, Performance Tuning, Data Pipelines, Kubernetes, Docker (Software), Containerization, Data Security, Risk Management, Dashboard, Cloud Platforms

    Intermediate · Specialization · 3 - 6 Months

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    Google Cloud

    AI Infrastructure: Storage Options

    Skills you'll gain: Data Infrastructure, Model Deployment, Data Processing, Data Pipelines

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Build Next-Gen LLM Apps with LangChain & LangGraph

    Skills you'll gain: LangChain, LLM Application, Prompt Engineering, API Design, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Microservices, Application Deployment, Kubernetes, Scalability, Site Reliability Engineering, DevOps, CI/CD, Docker (Software), Python Programming, Containerization, System Monitoring, Cloud Platforms, Security Controls

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    Document and Evaluate LLM Prompting Success

    Skills you'll gain: Prompt Engineering, Prompt Patterns, MLOps (Machine Learning Operations), Technical Documentation, Performance Tuning, Large Language Modeling, Technical Writing, Configuration Management, Performance Testing, Data Maintenance, Benchmarking, Requirements Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    AI Security: Security in the Age of Artificial Intelligence

    Skills you'll gain: Threat Modeling, Data Loss Prevention, Mobile Security, DevSecOps, MLOps (Machine Learning Operations), Vulnerability Scanning, LLM Application, Incident Response, Security Engineering, Anomaly Detection, Application Security, Responsible AI, Security Controls, Data Security, CI/CD, Infrastructure Security, Continuous Monitoring, Penetration Testing, Process Optimization, Vulnerability Assessments

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    Automate Cloud Workflows with Python Scripting

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

    Intermediate · Course · 1 - 4 Weeks

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    Board Infinity

    Transformers in Action: A Practical Approach to NLP and AI

    Skills you'll gain: Hugging Face, Model Evaluation, Embeddings, Transfer Learning, Recurrent Neural Networks (RNNs), Model Deployment, Data Preprocessing, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Multiple educators

    Building Trustworthy AI

    Beginner · Specialization

Searches related to mlops

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

  • Optimize Java Memory for ML Performance: Coursera
  • Design & Secure LLM APIs for Scalability: Coursera
  • AI Systems Reliability & Security: Coursera
  • GenAI Deployment & Governance: Coursera
  • AI Infrastructure: Storage Options: Google Cloud
  • Build Next-Gen LLM Apps with LangChain & LangGraph: Coursera
  • Document and Evaluate LLM Prompting Success: Coursera
  • AI Security: Security in the Age of Artificial Intelligence: Coursera
  • Automate Cloud Workflows with Python Scripting: Coursera
  • Transformers in Action: A Practical Approach to NLP and AI: Board Infinity

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