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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


  • C

    Coursera

    AI Model Development & Deployment

    Skills you'll gain: Model Deployment, AWS SageMaker, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Systems Design, Cloud Computing Architecture, Transfer Learning, Model Evaluation, Cloud Deployment, PyTorch (Machine Learning Library), Cloud Computing, Network Architecture, Unit Testing, API Design, Deep Learning, Python Programming, Data Validation, CI/CD, Keras (Neural Network Library)

    Intermediate · Specialization · 1 - 3 Months

  • K

    KodeKloud

    Data Engineering Essentials

    Skills you'll gain: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Big Data, Data Preprocessing, Feature Engineering, Model Deployment, CI/CD, Pandas (Python Package), Data Transformation

    Beginner · Course · 1 - 4 Weeks

  • K

    KodeKloud

    ML Model Development and Tracking: Hands-on Guide

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Applied Machine Learning, Computer Hardware

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Deployment, DevOps, Continuous Deployment, Model Evaluation, AI Workflows, Automation, Applied Machine Learning, Machine Learning, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Managing AI Projects That Ship and Scale

    Skills you'll gain: Milestones (Project Management), Acceptance Testing, CI/CD, Scope Management, MLOps (Machine Learning Operations), Feature Engineering, Governance Risk Management and Compliance, Capacity Management, Responsible AI, Smart Goals, Project Risk Management, Compliance Management, Stakeholder Communications, Data Governance, Risk Analysis, Model Evaluation, Applied Machine Learning, Project Planning, Risk Management, Mitigation

    Intermediate · Specialization · 3 - 6 Months

  • W

    Whizlabs

    Fundamentals of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, AWS SageMaker, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Azure DevOps, Model Deployment, Microsoft Azure, Amazon Web Services, Deep Learning, Data Processing

    Intermediate · Course · 1 - 3 Months

  • P

    Pragmatic AI Labs

    Machine Learning with Databricks and MLflow

    Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

  • Status: Hot New Release
    Hot New Release
    M

    Microsoft

    Microsoft Generative AI Engineering

    Skills you'll gain: Generative AI, Responsible AI, Generative Model Architectures, Prompt Engineering, Multimodal Prompts, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Data Ethics, AI Orchestration, AI Workflows, Model Deployment, Azure DevOps, Microsoft Azure, ChatGPT, AI Security, AI Enablement, Model Evaluation, CI/CD, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Java Programming, Java, Feature Engineering, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

  • L

    LearnKartS

    AWS AI Practitioner Certification Prep

    Skills you'll gain: Prompt Engineering, Responsible AI, Prompt Engineering Tools, Computer Vision, Machine Learning Algorithms, Data Wrangling, Deep Learning, Artificial Intelligence, Cloud Security, Amazon Elastic Compute Cloud, Embeddings, Model Deployment, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Data Security, Amazon S3, Data Governance, Governance, Encryption, Public Cloud

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Verification And Validation, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deploy & Optimize ML Services Confidently

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), DevOps, Service Level Agreement, API Design, Performance Measurement, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

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1…456…34

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

  • AI Model Development & Deployment: Coursera
  • Data Engineering Essentials: KodeKloud
  • ML Model Development and Tracking: Hands-on Guide: KodeKloud
  • Machine Learning Operations (MLOps): Getting Started - Português Brasileiro: Google Cloud
  • Managing AI Projects That Ship and Scale: Coursera
  • Fundamentals of Machine Learning: Whizlabs
  • Machine Learning with Databricks and MLflow: Pragmatic AI Labs
  • Microsoft Generative AI Engineering: Microsoft
  • ML Concepts, Models & Workflow Essentials: Coursera
  • AWS AI Practitioner Certification Prep: LearnKartS

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