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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
    Rating, 4.6 out of 5 stars
    ·
    2.9K reviews

    Advanced · Specialization · 3 - 6 Months

  • 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

  • J

    John Wiley & Sons

    Data Processing, Machine Learning, and Model Evaluation

    Skills you'll gain: Data Preprocessing, Model Evaluation, Data Processing, Model Deployment, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Predictive Modeling, Model Training, Data Science, Data Analysis, Applied Machine Learning, Model Optimization, Technical Communication, Supervised Learning, Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning Product Management - Strategy to Deployment

    Skills you'll gain: Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, AI Product Strategy, Product Management, Model Training, Product Lifecycle Management, Machine Learning Algorithms, Model Optimization, Applied Machine Learning, Decision Intelligence, Data Processing, Technical Product Management, Feature Engineering, Project Management, Machine Learning Methods, Machine Learning, Technical Management, Data Transformation

    Intermediate · Course · 1 - 3 Months

  • A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Statistical Machine Learning, Data Validation, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Deploy, Manage, and Orchestrate Your Models

    Skills you'll gain: Kubernetes, Docker (Software), Containerization, Application Deployment

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Smart Analytics, Machine Learning, and AI on Google Cloud

    Skills you'll gain: Model Deployment, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Machine Learning Methods, Model Training, Applied Machine Learning, Cloud API, Big Data, Machine Learning, Jupyter

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • B

    Board Infinity

    Transformers and NLP: Fine-Tuning Models with Hugging Face

    Skills you'll gain: Model Evaluation, Fine-tuning, Model Optimization, Hugging Face, Model Deployment, Model Training, Transfer Learning, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Generative Model Architectures, Application Deployment, Data Preprocessing, Data Pipelines, Embeddings, Version Control, Git (Version Control System)

    Advanced · Course · 1 - 4 Weeks

  • D

    Duke University

    Building Cloud Computing Solutions at Scale

    Skills you'll gain: Cloud Deployment, Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, Cloud Technologies, Cloud Services, Cloud Hosting, CI/CD, Cloud Platforms, Cloud Computing, Azure DevOps Pipelines, Application Deployment, Cloud Engineering, Software Engineering, Cloud Development, Continuous Delivery, Applied Machine Learning, Cloud API, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    509 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Architect AI Systems: From Concept to Code

    Skills you'll gain: Systems Architecture, AI Workflows, Process Modeling, Model Based Systems Engineering, System Design and Implementation, Systems Analysis, Enterprise Modeling, Model Training, Diagram Design, Dataflow, MLOps (Machine Learning Operations), Requirements Management

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • B

    Board Infinity

    Managing AI Systems: Development, Deployment, and Governance

    Skills you'll gain: AI Security, AI Orchestration, MLOps (Machine Learning Operations), Model Deployment, Vulnerability Assessments, AI Workflows, Governance Risk Management and Compliance, Retrieval-Augmented Generation, Responsible AI, Compliance Auditing, LLM Application, Personally Identifiable Information, Regulatory Compliance, Regulatory Requirements, Application Deployment, Generative Model Architectures, Decision Intelligence, Model Training, Cloud Deployment, Artificial Intelligence

    Intermediate · Specialization · 1 - 3 Months

1…131415…35

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

  • Professional Cloud Architect Part 2: AI, Security, & Ops: Google Cloud
  • AWS Machine Learning Engineer Associate Exam Prep: Neal Davis
  • Data Processing, Machine Learning, and Model Evaluation: John Wiley & Sons
  • Machine Learning Product Management - Strategy to Deployment: Packt
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Deploy, Manage, and Orchestrate Your Models: Coursera
  • Smart Analytics, Machine Learning, and AI on Google Cloud: Google Cloud
  • Transformers and NLP: Fine-Tuning Models with Hugging Face: Board Infinity
  • Building Cloud Computing Solutions at Scale: Duke University
  • Architect AI Systems: From Concept to Code: Coursera

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