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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

    Machine Learning in the Enterprise

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Training, Google Cloud Platform, AI Workflows, Data Management, Data Governance, Machine Learning Methods, Machine Learning Software, Model Optimization, Workflow Management, Data Store, Tensorflow, Data Preprocessing, Applied Machine Learning, Data Pipelines, Machine Learning, Predictive Modeling, Cloud Computing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of California San Diego

    Python Data Products for Predictive Analytics

    Skills you'll gain: Model Evaluation, Model Deployment, Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Predictive Analytics, MLOps (Machine Learning Operations), Statistical Machine Learning, Web Frameworks, Classification Algorithms, Machine Learning Methods, Model Training, Data Visualization, Statistical Modeling, Interactive Data Visualization, Design Thinking, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    300 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Hot New Release
    Hot New Release
    D

    DeepLearning.AI

    PyTorch for Deep Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Hugging Face, Model Optimization, Fine-tuning, Convolutional Neural Networks, Transfer Learning, Data Quality, Generative AI, Data Manipulation, Deep Learning, Generative Model Architectures, Model Training, Image Analysis, MLOps (Machine Learning Operations), Large Language Modeling, Data Pipelines, Artificial Neural Networks, Computer Vision, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    102 reviews

    Intermediate · Professional Certificate · 1 - 3 Months

  • I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Design Thinking, Market Opportunities, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    369 reviews

    Advanced · Specialization · 3 - 6 Months

  • A

    Amazon Web Services

    AWS Generative AI Applications

    Skills you'll gain: Responsible AI, Generative AI, Generative AI Agents, Prompt Engineering, Amazon Bedrock, Data Ethics, AWS SageMaker, AI Workflows, Agentic systems, AI Product Strategy, Agentic Workflows, Amazon Web Services, AI Integrations, LLM Application, AI Orchestration, MLOps (Machine Learning Operations), Application Programming Interface (API), Application Development, Solution Architecture, Data Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    121 reviews

    Beginner · Professional Certificate · 1 - 3 Months

  • D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Data Architecture, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Model Training, Model Deployment, Distributed Computing, Data Transformation, SQL, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    71 reviews

    Advanced · Course · 1 - 4 Weeks

  • M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    178 reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    Amazon Web Services

    AI Fundamentals and the Cloud

    Skills you'll gain: Responsible AI, Amazon Bedrock, Data Ethics, AWS SageMaker, Amazon Web Services, MLOps (Machine Learning Operations), Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, LLM Application, Large Language Modeling, AI Workflows, Machine Learning, No-Code Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    84 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Harnessing LLMs: Strategy, Fine-Tuning & Evaluation

    Skills you'll gain: Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, Responsible AI, Model Evaluation, Fine-tuning, Model Deployment, LangChain, Feature Engineering, Model Optimization, Large Language Modeling, Generative Model Architectures, Generative AI, LLM Application, MLOps (Machine Learning Operations), Model Training, OpenAI API, Generative Adversarial Networks (GANs), Business Strategy, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    74 reviews

    Intermediate · Specialization · 3 - 6 Months

  • M

    Microsoft

    Perform data science with Azure Databricks

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Lakes, Model Training, Machine Learning Methods, Data Processing, Deep Learning, Data Transformation, Model Deployment, Data Pipelines, Data Manipulation, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis

    3.1
    Rating, 3.1 out of 5 stars
    ·
    79 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Google Cloud AI Infrastructure

    Skills you'll gain: Model Deployment, Google Cloud Platform, Cloud Deployment, Cloud Infrastructure, Hardware Architecture, Model Optimization, Infrastructure Architecture, AI Workflows, Cloud Computing Architecture, Computer Hardware, Computer Architecture, MLOps (Machine Learning Operations), Model Training, Cloud Platforms, Computing Platforms, Performance Tuning, Interoperability, Artificial Intelligence, Product Demonstration, Systems Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    25 reviews

    Intermediate · Specialization · 1 - 3 Months

  • M

    Microsoft

    Prepare for DP-100: Data Science on Microsoft Azure Exam

    Skills you'll gain: Databricks, Model Deployment, Responsible AI, Model Training, Microsoft Azure, Data Science, Applied Machine Learning, Data Integration, MLOps (Machine Learning Operations), Predictive Modeling, Model Evaluation, Machine Learning Methods, Machine Learning, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    80 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Machine Learning in the Enterprise: Google Cloud
  • Python Data Products for Predictive Analytics: University of California San Diego
  • PyTorch for Deep Learning: DeepLearning.AI
  • IBM AI Enterprise Workflow: IBM
  • AWS Generative AI Applications: Amazon Web Services
  • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • AI Fundamentals and the Cloud: Amazon Web Services
  • Harnessing LLMs: Strategy, Fine-Tuning & Evaluation: Coursera
  • Perform data science with Azure Databricks: Microsoft

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