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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


  • C

    Coursera

    Scale Kubernetes: Optimize Your Systems

    Skills you'll gain: Scalability, Dashboard, Kubernetes, Capacity Management, Analysis, Performance Tuning, MLOps (Machine Learning Operations), Scenario Testing, Memory Management, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • S

    Starweaver

    Threat Hunting Techniques

    Skills you'll gain: Cyber Threat Hunting, Splunk, Threat Detection, Jupyter, Anomaly Detection, Threat Management, Cybersecurity, Data Analysis, Data Science, Data Wrangling, Applied Machine Learning, Security Information and Event Management (SIEM), Data Cleansing, Data Transformation, Data Preprocessing, MLOps (Machine Learning Operations), Unsupervised Learning, Automation

    Intermediate · Course · 1 - 3 Months

  • 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

  • C

    Coursera

    Document and Evaluate LLM Prompting Success

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Token Optimization, LLM Application, MLOps (Machine Learning Operations), Retrieval-Augmented Generation, Technical Documentation, Performance Tuning, Large Language Modeling, Technical Writing, Model Optimization, Configuration Management, Performance Testing, Data Maintenance, Benchmarking, Requirements Analysis

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 简体中文

    Skills you'll gain: Prompt Engineering, Google Cloud Platform, Generative AI, Prompt Engineering Tools, Generative AI Agents, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Applied Machine Learning, Model Training, Agentic Workflows, Artificial Intelligence, Machine Learning, Application Deployment

    Beginner · Course · 1 - 3 Months

  • 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

  • C

    Coursera

    Optimize ML Dev: Version, Reproduce, and Save

    Skills you'll gain: Git (Version Control System), Model Training, Version Control, AI Workflows, Jupyter, Memory Management, Package and Software Management, Resource Utilization, Virtual Environment

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    ML: Build, Train, Justify Models

    Skills you'll gain: Model Training, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Predictive Analytics, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • C

    Coursera

    Validating and Safeguarding Production AI

    Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), AI Security, Software Engineering, Model Training, DevOps, Software Quality Assurance, Maintainability, CI/CD, Model Deployment, Performance Tuning, Security Testing, Model Evaluation, Secure Coding, Performance Testing, Continuous Monitoring, Integration Testing, Sampling (Statistics), Data Validation, Python Programming

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Choose Optimal Data Structures for ML

    Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java Programming, Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Memory Management, Benchmarking, Graph Theory, Program Implementation

    Advanced · Course · 1 - 4 Weeks

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

  • Scale Kubernetes: Optimize Your Systems: Coursera
  • Threat Hunting Techniques: Starweaver
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Design, Compare and Analyze LLM Architectures: Coursera
  • Document and Evaluate LLM Prompting Success: Coursera
  • Introduction to AI and Machine Learning on GC - 简体中文: Google Cloud
  • Advanced RAG Patterns: Coursera
  • Optimize ML Dev: Version, Reproduce, and Save: Coursera
  • ML: Build, Train, Justify Models: Coursera
  • H2O Gen AI Ecosystem Overview - Level 2: H2O.ai

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