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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


  • 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

    Choose Optimal Data Structures for ML

    Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java Programming, Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Memory Management, Benchmarking, Graph Theory, Program Implementation

    Advanced · Course · 1 - 4 Weeks

  • 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

    Pragmatic AI Labs

    GitHub Enterprise Administration

    Skills you'll gain: GitHub, Package and Software Management, Okta, Azure Active Directory, Security Assertion Markup Language (SAML), Enterprise Application Management, Single Sign-On (SSO), Git (Version Control System), Continuous Integration, CI/CD, Authorization (Computing), Role-Based Access Control (RBAC), Enterprise Security, Identity and Access Management, Apache Maven, User Provisioning, MLOps (Machine Learning Operations), Containerization, Security Strategy, Automation

    Beginner · Course · 1 - 4 Weeks

  • 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

  • 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

  • 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

    ML Pipelines on Google Cloud - 日本語版

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

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Optimize Deep Learning: Tune PyTorch Models

    Skills you'll gain: Fine-tuning, Model Optimization, Model Deployment, Model Training, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning in the Enterprise - Français

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

  • S

    Starweaver

    Threat Hunting Techniques

    Skills you'll gain: Cyber Threat Hunting, Splunk, Threat Detection, Jupyter, Anomaly Detection, Threat Management, Cybersecurity, Data Analysis, Data Science, Data Wrangling, Applied Machine Learning, Security Information and Event Management (SIEM), Data Cleansing, Data Transformation, Data Preprocessing, MLOps (Machine Learning Operations), Unsupervised Learning, Automation

    Intermediate · Course · 1 - 3 Months

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

  • ML Pipelines on Google Cloud - 한국어: Google Cloud
  • Choose Optimal Data Structures for ML: Coursera
  • Evaluating LLM Performance and Efficiency: Coursera
  • GitHub Enterprise Administration: Pragmatic AI Labs
  • Building Reliable LLM Systems: Coursera
  • GenAI Model Development and Production Engineering: Starweaver
  • Docker for AI/ML: Packt
  • ML Pipelines on Google Cloud - 日本語版: Google Cloud
  • Optimize Deep Learning: Tune PyTorch Models: Coursera
  • Machine Learning in the Enterprise - Français: Google Cloud

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