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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


  • A

    Amazon Web Services

    Machine Learning Essentials for Business and Technical Decision Makers

    Skills you'll gain: Applied Machine Learning, Machine Learning, AI Enablement, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Solution Design, Training Programs

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • A

    Alberta Machine Intelligence Institute

    실용 머신 러닝 소개

    Skills you'll gain: Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data Preprocessing, Training Records Management, Machine Learning Methods, Data Collection, AI Enablement, Business Process, Business Requirements

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Advanced Data Science Techniques (with AWS Integration)

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Statistical Analysis, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing, Supervised Learning, Regression Analysis

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Building a Machine Learning Solution

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Generative AI, Data Preprocessing, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • P

    Pearson

    Introduction to Transformer Models for NLP

    Skills you'll gain: Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Application Deployment, Generative Model Architectures, Embeddings, Data Preprocessing, Model Evaluation

    Intermediate · Specialization · 1 - 4 Weeks

  • G

    Google Cloud

    Vertex AI Search for Commerce

    Skills you'll gain: AI Personalization, AI Enablement, Data Integration, Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Cloud Management, Data Modeling, System Monitoring, Restful API, Performance Measurement

    Advanced · Course · 1 - 3 Months

  • M

    Microsoft

    Working with large language models using Azure

    Skills you'll gain: Generative Model Architectures, ChatGPT, AI Security, Semantic Web, Vector Databases

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Preparing for the Google Cloud Professional Data Engineer Exam en Español

    Skills you'll gain: Data Processing, Data Pipelines, Data Infrastructure, Google Cloud Platform, Data Warehousing, MLOps (Machine Learning Operations), Data Visualization, Model Deployment, Data Quality, Cloud Engineering, Scalability, Data Storage, Cloud Security, Machine Learning, SQL

    Advanced · Course · 1 - 3 Months

  • C

    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

  • L

    LearnKartS

    Responsible AI with AWS Security and Governance

    Skills you'll gain: Responsible AI, AWS Identity and Access Management (IAM), Identity and Access Management, AI Security, Amazon Web Services, Data Ethics, Generative AI, AWS SageMaker, Cloud Security, MLOps (Machine Learning Operations), Data Security, Data Governance, Governance, Artificial Intelligence, Encryption, Public Cloud, General Data Protection Regulation (GDPR)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Orchestrating a TFX Pipeline with Airflow

    Skills you'll gain: Apache Airflow, Tensorflow, MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Machine Learning Methods, Model Deployment, Model Evaluation, Cloud Computing, Machine Learning

    1.3
    Rating, 1.3 out of 5 stars
    ·
    7 reviews

    Beginner · Project · Less Than 2 Hours

  • U

    Universidad Austral

    NLP System Architecture and Dev-Ops

    Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Model Evaluation, Software Development Life Cycle, Text Mining, Model Deployment, Machine Learning

    Beginner · Course · 1 - 4 Weeks

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

  • Machine Learning Essentials for Business and Technical Decision Makers: Amazon Web Services
  • 실용 머신 러닝 소개: Alberta Machine Intelligence Institute
  • Advanced Data Science Techniques (with AWS Integration): Coursera
  • Building a Machine Learning Solution: Coursera
  • Introduction to Transformer Models for NLP: Pearson
  • Vertex AI Search for Commerce: Google Cloud
  • Working with large language models using Azure: Microsoft
  • Preparing for the Google Cloud Professional Data Engineer Exam en Español: Google Cloud
  • Secure AI Code & Libraries with Static Analysis: Coursera
  • Responsible AI with AWS Security and Governance: LearnKartS

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