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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


  • E

    Edureka

    Securing AI Systems

    Skills you'll gain: AI Security, Responsible AI, Incident Response, Application Security, Security Engineering, Threat Modeling, Cybersecurity, MLOps (Machine Learning Operations), Information Systems Security, Security Strategy, Continuous Monitoring, Identity and Access Management, Cloud Security, Vulnerability Assessments, Threat Detection, Artificial Intelligence, Model Deployment, Machine Learning, Anomaly Detection

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    DP-100 Microsoft Azure DS Exam

    Skills you'll gain: Microsoft Azure, Model Deployment, MLOps (Machine Learning Operations), Cloud Computing, Cloud Deployment, Data Pipelines, Application Deployment, Data Store, Data Management, Virtual Machines, Cloud Infrastructure, Machine Learning Algorithms, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 4 Weeks

  • F

    Fractal Analytics

    Data Lineage & Ethical Frameworks for Responsible AI

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Data Governance, AI Workflows, Data Transformation, Data Integrity, Data Quality, MLOps (Machine Learning Operations), Risk Modeling, Data Validation, Metadata Management, Data Security

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    LangGraph Framework

    Skills you'll gain: LangGraph, AI Orchestration, LangChain, LLM Application, Agentic Workflows, Generative AI Agents, MLOps (Machine Learning Operations), Context Management, Distributed Computing, Software Design Patterns

    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

  • 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

    Introduction to Vertex Forecasting and Time Series in Practice

    Skills you'll gain: Model Deployment, Model Evaluation, MLOps (Machine Learning Operations), Time Series Analysis and Forecasting, Google Cloud Platform, Data Preprocessing, Forecasting, Data Transformation, Predictive Modeling, Applied Machine Learning, Continuous Monitoring, Deep Learning

    Advanced · 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

    Running Distributed TensorFlow using Vertex AI

    Skills you'll gain: Tensorflow, Google Cloud Platform, Model Deployment, Image Analysis, Cloud Deployment, MLOps (Machine Learning Operations), Cloud Computing, Distributed Computing

    Intermediate · Project · Less Than 2 Hours

  • P

    Packt

    Apache Airflow Best Practices

    Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), Multi-Tenant Cloud Environments, Data Pipelines, Workflow Management, Business Workflow Analysis, Cloud Deployment, Continuous Deployment, CI/CD, Devops Tools, DevOps, Configuration Management, Python Programming, Scalability, Performance Tuning, System Monitoring

    Intermediate · Course · 3 - 6 Months

  • 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

  • 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

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

  • Securing AI Systems: Edureka
  • DP-100 Microsoft Azure DS Exam: EDUCBA
  • Data Lineage & Ethical Frameworks for Responsible AI: Fractal Analytics
  • LangGraph Framework: Coursera
  • Orchestrating a TFX Pipeline with Airflow: Google Cloud
  • Working with large language models using Azure: Microsoft
  • Introduction to Vertex Forecasting and Time Series in Practice: Google Cloud
  • Introduction to Transformer Models for NLP: Pearson
  • Running Distributed TensorFlow using Vertex AI: Google Cloud
  • Apache Airflow Best Practices: Packt

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