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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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    Status: Free Trial
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    Coursera

    Orchestrate, Analyze, and Evaluate AI Deployments

    Skills you'll gain: CI/CD, Continuous Deployment, Continuous Delivery, DevOps, Containerization, Performance Analysis, Performance Metric, Performance Measurement, Artificial Intelligence, Application Performance Management, Operational Analysis, Conversion Funnel Analysis, Continuous Monitoring, Root Cause Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Preview
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    Whizlabs

    Fundamentals of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Model Optimization, Applied Machine Learning, Machine Learning Methods, Model Evaluation, Model Training, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Machine Learning Algorithms, Model Deployment, Microsoft Azure, Amazon Web Services, Cloud Solutions, Deep Learning, Data Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud - Português

    Skills you'll gain: CI/CD, MLOps (Machine Learning Operations), Apache Airflow, Google Cloud Platform, Data Pipelines, Model Deployment, Tensorflow, Continuous Deployment, AI Workflows, Metadata Management, Model Training, Model Optimization, AI Orchestration, Data Preprocessing, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Model Evaluation, Model Training, Model Optimization, Model Deployment, Data Preprocessing, AI Workflows, Fine-tuning, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    Coursera

    Managing AI Projects That Ship and Scale

    Skills you'll gain: Milestones (Project Management), Acceptance Testing, CI/CD, Scope Management, MLOps (Machine Learning Operations), Feature Engineering, Governance Risk Management and Compliance, Capacity Management, Responsible AI, Smart Goals, Backlogs, Project Risk Management, Compliance Management, Stakeholder Communications, Risk Management, Data Governance, Model Evaluation, Project Planning, Case Studies, Risking

    4
    Rating, 4 out of 5 stars
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    6 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    LearnKartS

    AWS AI Practitioner Certification Prep

    Skills you'll gain: Prompt Engineering, Responsible AI, Prompt Engineering Tools, Computer Vision, Model Optimization, Generative Model Architectures, Machine Learning Methods, AI Workflows, Machine Learning Algorithms, Applied Machine Learning, Artificial Intelligence, Model Training, Cloud Security, Amazon Elastic Compute Cloud, Risking, AI literacy, Embeddings, MLOps (Machine Learning Operations), Deep Learning, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Associate

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    3.9
    Rating, 3.9 out of 5 stars
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    10 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    AI Model Development & Deployment

    Skills you'll gain: Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, AI Integrations, Tensorflow, Solution Architecture, Model Evaluation, Apache Airflow, Model Optimization, Systems Design, Transfer Learning, Unit Testing, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    Edureka

    Building LLMs with Hugging Face and LangChain

    Skills you'll gain: LangChain, LLM Application, Hugging Face, Retrieval-Augmented Generation, Prompt Patterns, LangGraph, Model Deployment, AI Workflows, Large Language Modeling, AI Orchestration, Generative AI, Token Optimization, Generative Model Architectures, AI Integrations, Fine-tuning, Embeddings, Data Pipelines, Containerization, Restful API, Docker (Software)

    1.7
    Rating, 1.7 out of 5 stars
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    7 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    Coursera

    Engineer Features and Evaluate Models for Production

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Model Training, Model Deployment, Model Optimization, Data Preprocessing, Performance Analysis, Machine Learning Methods, Data Pipelines, Analysis, Data Transformation, Technical Writing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    LLM Engineer’s Handbook

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, MLOps (Machine Learning Operations), Fine-tuning, Model Deployment, Extract, Transform, Load, Data Pipelines, Model Optimization, Data Processing, CI/CD, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    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

    Advanced · Specialization · 1 - 3 Months

1…91011…35

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

  • Orchestrate, Analyze, and Evaluate AI Deployments: Coursera
  • Fundamentals of Machine Learning: Whizlabs
  • ML Pipelines on Google Cloud - Português: Google Cloud
  • Building, Evaluating, and Operationalizing ML Models: Packt
  • Managing AI Projects That Ship and Scale: Coursera
  • AWS AI Practitioner Certification Prep: LearnKartS
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Associate: Whizlabs
  • AI Model Development & Deployment: Coursera
  • Building LLMs with Hugging Face and LangChain: Edureka
  • Engineer Features and Evaluate Models for Production: Coursera

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