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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


  • Status: New
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    J

    John Wiley & Sons

    CompTIA DataX Study Guide

    Skills you'll gain: Supervised Learning, Statistical Methods, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Data Processing, Data Quality, Model Deployment, Data Transformation, Machine Learning Methods, Image Analysis, Statistics, Statistical Machine Learning, Data Analysis, Data Science, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Computer Vision, Machine Learning Algorithms

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of AI and Machine Learning

    Skills you'll gain: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, AI Integrations, MLOps (Machine Learning Operations), Application Deployment, AI Workflows, Model Evaluation, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    261 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    C

    Coursera

    Reproduce and Evaluate AI Research Workflows

    Skills you'll gain: Configuration Management, Experimentation, Software Documentation, Software Versioning, Software Configuration Management, Collaborative Software, Testability, Workflow Management, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Deploy Vector DBs Securely

    Skills you'll gain: Vector Databases, Grafana, Containerization, Role-Based Access Control (RBAC), Docker (Software), MLOps (Machine Learning Operations), Application Deployment, AI Security, Enterprise Security, Scalability, Data Access, Authorization (Computing), Dashboard Creation, Encryption, Cryptographic Protocols, Performance Tuning, System Monitoring, Infrastructure Security, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Choose Cost-Effective ML Algorithms Fast

    Skills you'll gain: Model Training, Benchmarking, Decision Intelligence, Resource Utilization, Cost Estimation, Resource Consumption Accounting, Memory Management, Run Chart, Analysis, Cost Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    P

    Packt

    LLMs in Enterprise

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Deployment, Responsible AI, Large Language Modeling, Fine-tuning, MLOps (Machine Learning Operations), Multimodal Prompts, Prompt Patterns, Enterprise Application Management, Application Deployment, Model Optimization, AI Workflows, Data Management, Model Evaluation, Model Training, Generative AI, Embeddings, API Design

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Status: Preview
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    N

    Neal Davis

    AWS Machine Learning Engineer Associate Exam Prep

    Skills you'll gain: Model Deployment, AWS SageMaker, Amazon Bedrock, MLOps (Machine Learning Operations), Amazon Web Services, Cloud Deployment, Data Preprocessing, Model Evaluation, Amazon S3, Generative AI, Data Storage, Generative Model Architectures, Data Storage Technologies, Model Training, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Amazon Redshift, Cloud Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Databricks Machine Learning Quickstart

    Skills you'll gain: Databricks, Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Model Evaluation, Feature Engineering, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, AI Workflows, Machine Learning, System Monitoring, Security Controls

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    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
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    300 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    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

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    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
    ·
    100 reviews

    Intermediate · Professional Certificate · 1 - 3 Months

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

  • CompTIA DataX Study Guide: John Wiley & Sons
  • Foundations of AI and Machine Learning: Microsoft
  • Reproduce and Evaluate AI Research Workflows: Coursera
  • Deploy Vector DBs Securely: Coursera
  • Choose Cost-Effective ML Algorithms Fast: Coursera
  • LLMs in Enterprise: Packt
  • AWS Machine Learning Engineer Associate Exam Prep: Neal Davis
  • Databricks Machine Learning Quickstart: Coursera
  • Advanced Machine Learning on Google Cloud: Google Cloud
  • Python Data Products for Predictive Analytics: University of California San Diego

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