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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

    Professional Cloud Architect Part 2: AI, Security, & Ops

    Skills you'll gain: Kubernetes, Infrastructure as Code (IaC), Application Performance Management, Terraform, Generative AI, Identity and Access Management, Generative AI Agents, Google Gemini, Google Cloud Platform, Metadata Management, Data Sharing, Data Pipelines, Cloud-Native Computing, Cloud Development, Generative Model Architectures, Serverless Computing, Cloud Security, Cloud Computing Architecture, Dashboard Creation, MLOps (Machine Learning Operations)

    ★ 4.6 (2.9K) · Advanced · Specialization · 3 - 6 Months

  • L

    LearnQuest

    Mitigate AI Risk and Ensure Ethical Operations

    Skills you'll gain: Responsible AI, Operational Risk, Compliance Management, Governance Risk Management and Compliance, Regulatory Compliance, Risk Control, Risk Management Framework, Risk Analysis, Data Ethics, Risk Mitigation, Continuous Monitoring, Risk Management, Risk Modeling, Law, Regulation, and Compliance, Enterprise Risk Management (ERM), MLOps (Machine Learning Operations), Governance, Regulatory Requirements, Auditing, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Course · 1 - 4 Weeks

  • N

    NVIDIA

    AI Infrastructure and Operations Fundamentals

    Skills you'll gain: Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Management, Generative AI, AI Orchestration, Cloud Deployment, Infrastructure Architecture, Cloud Infrastructure, Cloud Computing, AI Workflows, Devops Tools, Data Infrastructure, AI literacy, Deep Learning, Information Technology Operations, Machine Learning, Network Infrastructure, Data Centers

    ★ 4.6 (489) · Beginner · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Foundations of AI Governance and Responsible Development

    Skills you'll gain: Responsible AI, Audit Working Papers, Governance, Governance Risk Management and Compliance, Compliance Management, Accountability Frameworks, Compliance Auditing, Internal Auditing, Data Governance, Regulatory Compliance, Audit Planning, Technical Communication, Auditing, Compliance Reporting, Model Training, MLOps (Machine Learning Operations), Regulatory Requirements, Accountability, Model Deployment, Risk Management

    Beginner · Course · 1 - 4 Weeks

  • P

    Pragmatic AI Labs

    Rust on GCP

    Skills you'll gain: Google Cloud Platform, Data Pipelines, Rust (Programming Language), Google App Engine, Containerization, Cloud-Based Integration, Data Engineering, Cloud API, Cloud Engineering, Cloud Management, Multi-Cloud, Cloud Infrastructure, DevOps, Serverless Computing, MLOps (Machine Learning Operations), Cloud Services, Cloud Platforms, Cloud Storage, Cloud Security, Cloud Computing Architecture

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Train, Tune, & Ship: End-to-End Machine Learning Engineering

    Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)

    Intermediate · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Model Optimization, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Dataflow, Big Data, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, CI/CD, Machine Learning Methods, Cloud Computing

    ★ 4.4 (5K) · Intermediate · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Optimizing and Deploying Computer Vision Models

    Skills you'll gain: Model Evaluation, Model Training, Image Analysis, Model Optimization, Computer Vision, Model Deployment, Image Quality, MLOps (Machine Learning Operations), Data Analysis, Deep Learning, Exploratory Data Analysis, Failure Analysis, Data Preprocessing, Workflow Management, AI Workflows, Data Transformation, Experimentation, Performance Analysis, Data Manipulation, Performance Metric

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Transformers Unleashed: Master the Architecture of Modern AI

    Skills you'll gain: Model Optimization, MLOps (Machine Learning Operations), Systems Architecture, Model Evaluation, Feature Engineering, AI Integrations, Image Analysis, Model Training, Model Deployment, Extract, Transform, Load, Systems Design, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Apache Spark, Natural Language Processing, Pandas (Python Package), Cloud Deployment, Machine Learning, Computer Vision, Computational Thinking

    Intermediate · Professional Certificate · 3 - 6 Months

  • B

    Board Infinity

    Advanced Deep Learning Architectures

    Skills you'll gain: Model Deployment, Generative AI, Large Language Modeling, Generative Model Architectures, PyTorch (Machine Learning Library), Fine-tuning, Application Deployment, Model Optimization, Deep Learning, MLOps (Machine Learning Operations), Cloud Deployment, Vision Transformer (ViT), Transfer Learning, Token Optimization, LLM Application, Hugging Face, Convolutional Neural Networks, Containerization, Model Training, Computer Vision

    Intermediate · Specialization · 1 - 3 Months

  • D

    Duke University

    AI Product Management

    Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Experience Design, Unsupervised Learning, Model Training, User Experience Design, Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Regression Analysis, Project Management, Product Management, Product Design, Data Science

    ★ 4.7 (1.2K) · Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Optimizing AI Workflows and Deploying Edge Models

    Skills you'll gain: Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Model Training, AI Workflows, Tensorflow, Dataflow, Performance Tuning, Deep Learning, Dashboard, Data Pipelines, Grafana, Artificial Neural Networks, Data Processing, Resource Utilization, Performance Analysis, Performance Metric, Data Manipulation

    Intermediate · Course · 1 - 3 Months

1…121314…35

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

  • Professional Cloud Architect Part 2: AI, Security, & Ops: Google Cloud
  • Mitigate AI Risk and Ensure Ethical Operations: LearnQuest
  • AI Infrastructure and Operations Fundamentals: NVIDIA
  • Foundations of AI Governance and Responsible Development: LearnQuest
  • Rust on GCP: Pragmatic AI Labs
  • Train, Tune, & Ship: End-to-End Machine Learning Engineering: Coursera
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Optimizing and Deploying Computer Vision Models: Coursera
  • Transformers Unleashed: Master the Architecture of Modern AI: Coursera
  • Advanced Deep Learning Architectures: Board Infinity

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