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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


  • M

    Microsoft

    Microsoft Generative AI Engineering

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

    4.4 stars, 33 reviews, Intermediate, Professional Certificate, 3 - 6 Months

    ★ 4.4 (33) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • B

    Board Infinity

    MLOps and LLMOps: Deploying and Scaling AI in Production

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, LLM Application, Application Deployment, Model Training, Cloud Deployment, Continuous Deployment, AI Workflows, Large Language Modeling, AI Security, Prompt Engineering, Retrieval-Augmented Generation, Scalability, CI/CD, Site Reliability Engineering, Model Evaluation, Release Management, Containerization, Continuous Monitoring, Event Monitoring

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • P

    Packt

    AI Engineer Professional

    Skills you'll gain: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Fine-tuning, Containerization, Model Optimization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Agentic Workflows, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, Image Analysis, Large Language Modeling, Natural Language Processing, Python Programming

    4.7 stars, 7 reviews, Advanced, Specialization, 1 - 3 Months

    ★ 4.7 (7) · Advanced · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
  • C

    Coursera

    End-to-End Multimodal AI: Fine-Tuning, Fusion, and MLOps

    Skills you'll gain: API Design, MLOps (Machine Learning Operations), Restful API, Fine-tuning, OAuth, Model Deployment, Application Programming Interface (API), Technical Communication, Model Training, Model Evaluation, Transfer Learning, Vision Transformer (ViT), Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Solution Architecture, Machine Learning, Data Architecture, Machine Learning Algorithms, Data Science

    Intermediate · Course · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Data Engineering, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Machine Learning, Python Programming

    3.6 stars, 60 reviews, Advanced, Course, 1 - 3 Months

    ★ 3.6 (60) · Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • W

    Whizlabs

    AWS: Machine Learning & MLOps Foundations

    Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Processing, Machine Learning, Supervised Learning, Machine Learning Algorithms, Unsupervised Learning, Classification Algorithms

    4.3 stars, 7 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.3 (7) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • G

    Google Cloud

    Orchestrate ML Workflows with Vertex AI Pipelines

    Skills you'll gain: MLOps (Machine Learning Operations), AI Orchestration, AI Workflows, Data Pipelines, Model Deployment, Agentic Workflows, Generative AI Agents, Google Cloud Platform, Forecasting, Model Training, Agentic systems, Prompt Engineering, Automation

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • D

    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Model Training, Data Quality, Model Deployment, Data Preprocessing, Application Lifecycle Management, Technical Management, Applied Machine Learning, Project Management, Machine Learning, Data Cleansing, Model Evaluation, Data Pipelines, Technical Design, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science

    4.8 stars, 406 reviews, Beginner, Course, 1 - 3 Months

    ★ 4.8 (406) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • C

    Coursera

    Tokens to Deployment: NLP, Language Models, & Production API

    Skills you'll gain: OAuth, Unit Testing, Apache Airflow, Fine-tuning, Model Evaluation, Data Validation, API Design, Test Driven Development (TDD), Data Integrity, Extract, Transform, Load, Model Training, Multimodal Prompts, Natural Language Processing, MLOps (Machine Learning Operations), OpenAI API, Data Presentation, Hugging Face, Token Optimization, CI/CD, Tensorflow

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • P

    Pragmatic AI Labs

    Production Governance and MLOps on Databricks

    Skills you'll gain: Databricks, Role-Based Access Control (RBAC), MLOps (Machine Learning Operations), Data Lakes, Data Governance, CI/CD, Authorization (Computing), Anomaly Detection, Identity and Access Management, Model Deployment, Generative AI, Data Access, Metadata Management, Data Engineering, Data Quality, GitHub, Event Monitoring, Test Tools, Authentications, Python Programming

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • B

    Board Infinity

    DevOps for Machine Learning: CI/CD, APIs & Deployment

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, DevOps, CI/CD, Containerization, Application Deployment, Devops Tools, Cloud Deployment, Continuous Integration, Continuous Deployment, Docker (Software), Model Training, Model Evaluation, Restful API, Version Control, API Testing, Application Programming Interface (API), GitHub, Automation, Data Validation

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • C

    Coursera

    Deploying and Maintaining Production AI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Dashboard Creation, Generative AI, Dependency Analysis, Dashboard, Application Deployment, Continuous Deployment, Model Training, Responsible AI, Site Reliability Engineering, Release Management, Kubernetes, Application Performance Management, CI/CD, Performance Analysis, Continuous Monitoring, Automation, Cloud Platforms, Data-Driven Decision-Making

    Intermediate · Course · 3 - 6 Months

    Status: Free trial
    Free trial
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