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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

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, CI/CD, Model Evaluation, Applied Machine Learning, Apache Airflow, Data Migration, Data Cleansing, Data Quality, Data Lakes, AI Enablement, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • G

    Google Cloud

    Build and Modernize Applications With Generative AI

    Skills you'll gain: Generative AI, Serverless Computing, Development Testing, AI Enablement, Cloud Applications, Application Development, Web Analytics and SEO, Embeddings, Software Development Tools, Information Architecture, Code Review, Test Case, MLOps (Machine Learning Operations), Web Development Tools, Query Languages, Computer Programming Tools, Integrated Development Environments, Secure Coding, Debugging, Containerization

    4.1
    Rating, 4.1 out of 5 stars
    ·
    43 reviews

    Intermediate · Specialization · 3 - 6 Months

  • N

    NVIDIA

    AI Infrastructure and Operations Fundamentals

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Computing, Model Deployment, Cloud Infrastructure, AI Orchestration, Infrastructure Architecture, Data Infrastructure, Devops Tools, IT Infrastructure, Information Technology Operations, Deep Learning, Network Infrastructure, Hardware Architecture, Machine Learning, Data Centers, Computer Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    480 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Evaluate and Create ML Workflows Visually

    Skills you'll gain: MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Grafana, Performance Metric, Data Pipelines, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize ML Dev: Version, Reproduce, and Save

    Skills you'll gain: Git (Version Control System), Version Control, Continuous Integration, Jupyter, Package and Software Management, Resource Utilization, Virtual Environment

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Python Programming and Data Science Foundations for AI

    Skills you'll gain: Object Oriented Programming (OOP), Data Visualization, Seaborn, Flask (Web Framework), Programming Principles, Web Applications, Statistical Methods, Data Analysis Software, Pandas (Python Package), Probability & Statistics, Data Manipulation, Data Structures, UI Components

    Intermediate · Course · 1 - 3 Months

  • E

    Edge Impulse

    Edge AI for Microcontrollers

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Embedded Software, Embedded Systems, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Anomaly Detection, AI Product Strategy, Cloud Computing, Internet Of Things, Product Engineering, Prototyping, Industrial Engineering, Product Development, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    884 reviews

    Intermediate · Specialization · 1 - 3 Months

  • E

    Edureka

    Fine-Tuning & Optimizing Large Language Models

    Skills you'll gain: Model Evaluation, LLM Application, Large Language Modeling, Prompt Engineering, Hugging Face, Transfer Learning, Context Management

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Evaluating LLM Performance and Efficiency

    Skills you'll gain: Product Requirements, Prompt Engineering, Prompt Patterns, LLM Application, Process Mapping, MLOps (Machine Learning Operations), Operational Efficiency, Large Language Modeling, Model Evaluation, Process Optimization, Workflow Management, Cost Reduction, Cost Management, User Acceptance Testing (UAT), Vector Databases, Standard Operating Procedure, Key Performance Indicators (KPIs), Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Reproduce and Evaluate AI Research Workflows

    Skills you'll gain: Configuration Management, Experimentation, Software Documentation, Data Maintenance, Analysis, Workflow Management

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Master Agentic AI: Core Principles & Real-World PC

    Skills you'll gain: Threat Modeling, Feature Engineering, Anomaly Detection, Data Visualization, MLOps (Machine Learning Operations), Agentic Workflows, AI Security, A/B Testing, Open Web Application Security Project (OWASP), Software Engineering, Data Ethics, Responsible AI, Technical Communication, Secure Coding, Agentic systems, AI Orchestration, DevSecOps, Continuous Monitoring, CI/CD, Reinforcement Learning

    Intermediate · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Calibrate and Serve Confident AI Predictions

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

    Intermediate · Course · 1 - 4 Weeks

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

  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Build and Modernize Applications With Generative AI: Google Cloud
  • AI Infrastructure and Operations Fundamentals: NVIDIA
  • Evaluate and Create ML Workflows Visually: Coursera
  • Optimize ML Dev: Version, Reproduce, and Save: Coursera
  • Python Programming and Data Science Foundations for AI: Packt
  • Edge AI for Microcontrollers: Edge Impulse
  • Fine-Tuning & Optimizing Large Language Models: Edureka
  • Evaluating LLM Performance and Efficiency: Coursera
  • Reproduce and Evaluate AI Research Workflows: Coursera

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