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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


  • S

    SAS

    SAS Certification Practice Exams

    Skills you'll gain: Model Deployment, Logistic Regression, Model Training, Probability & Statistics, Model Evaluation, Statistical Software, Machine Learning Methods, Machine Learning Software

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

    Skills you'll gain: Google Cloud Platform, Model Deployment, Tensorflow, Kubernetes, Scalability, Cloud Deployment, Image Analysis, Applied Machine Learning, Model Training, Cloud Computing, MLOps (Machine Learning Operations), Cloud Management, Cloud Storage, Data Management

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Machine Learning in the Enterprise - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Workflow Management, Data Management, Data Governance, Data Lakes, Model Deployment, Data Store, Model Optimization, AI Workflows, Google Cloud Platform, Machine Learning Methods, Applied Machine Learning, Machine Learning, Data Pipelines, Model Evaluation, AI Orchestration

    Intermediate · Course · 1 - 3 Months

  • H

    H2O.ai

    H2O Gen AI Ecosystem Overview - Level 2

    Skills you'll gain: Model Deployment, Model Optimization, Model Training, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), AI Workflows, System Monitoring, Machine Learning Methods, Real Time Data, Continuous Monitoring, Applied Machine Learning, Data Preprocessing, Artificial Intelligence, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • S

    SAS

    Managing Machine Learning Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Machine Learning Software, Process Modeling, Workflow Management, Predictive Modeling, Governance Risk Management and Compliance, Applied Machine Learning, SAS (Software), Text Mining, R Programming, Performance Analysis, Scheduling

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Advanced RAG Patterns

    Skills you'll gain: Retrieval-Augmented Generation, Prompt Patterns, Agentic systems, Performance Testing, Prompt Engineering, Generative AI Agents, Generative AI, Agentic Workflows, Performance Tuning, Model Evaluation, Verification And Validation, Large Language Modeling, MLOps (Machine Learning Operations), Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Processing, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data Store, Apache Spark, Azure Synapse Analytics, Model Training, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Design, Compare and Analyze LLM Architectures

    Skills you'll gain: Diagram Design, Unified Modeling Language, Cloud Deployment, Model Deployment, Information Privacy, MLOps (Machine Learning Operations), Application Programming Interface (API), AI Product Strategy, Analysis, Data Pipelines, Cloud API, Feature Engineering, Cost Management, Performance Analysis, Business Risk Management

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh

    Skills you'll gain: Cloud Computing, Model Deployment, Cloud Deployment, Istio, Tensorflow, Google Cloud Platform, MLOps (Machine Learning Operations), Kubernetes, Application Deployment, Continuous Deployment, Microservices, Load Balancing

    Intermediate · Project · Less Than 2 Hours

  • 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

  • C

    Coursera

    Analyzing and Securing AI System Performance

    Skills you'll gain: Threat Modeling, Data Visualization, Data Presentation, AI Security, Interactive Data Visualization, A/B Testing, Threat Management, Open Web Application Security Project (OWASP), Secure Coding, Application Security, Responsible AI, System Monitoring, MLOps (Machine Learning Operations), Analytics, Data Governance, Application Programming Interface (API), Vulnerability Assessments, Cyber Governance, Data Processing, Data Management

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    BigQuery Machine Learning für Inferenzen nutzen

    Skills you'll gain: Big Data, Analytics, Data Analysis, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Google Cloud Platform, Model Deployment, Machine Learning

    Beginner · Course · 1 - 4 Weeks

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

  • SAS Certification Practice Exams: SAS
  • Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes: Google Cloud
  • Machine Learning in the Enterprise - Français: Google Cloud
  • H2O Gen AI Ecosystem Overview - Level 2: H2O.ai
  • Managing Machine Learning Models: SAS
  • Advanced RAG Patterns: Coursera
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Design, Compare and Analyze LLM Architectures: Coursera
  • Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh: Google Cloud
  • Reproduce and Evaluate AI Research Workflows: Coursera

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