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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


  • E

    Edureka

    Optimizing and Deploying LLM Systems

    Skills you'll gain: LangChain, LLM Application, Prompt Patterns, Prompt Engineering, Model Deployment, Large Language Modeling, Token Optimization, Application Programming Interface (API), Application Deployment, Retrieval-Augmented Generation, LangGraph, OpenAI, Containerization, Continuous Deployment, Postman API Platform, Artificial Intelligence, Continuous Integration, Amazon Web Services, Authentications, Performance Analysis

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Master Java Build Tools for ML Projects

    Skills you'll gain: Build Tools, CI/CD, Software Development Tools, Java, Gradle, Java Programming, Apache Maven, MLOps (Machine Learning Operations), Package and Software Management, Applied Machine Learning, Dependency Analysis

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Building Reliable LLM Systems

    Skills you'll gain: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Statistical Methods, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Python Programming

    Intermediate · Course · 1 - 3 Months

  • W

    Whizlabs

    AWS: ML Workflows with SageMaker, Storage & Security

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Web Services, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Model Training, AWS Identity and Access Management (IAM), Model Deployment, Real Time Data, Feature Engineering, Cloud Storage, Data Storage, Data Security, Encryption, Key Management

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Docker for AI/ML

    Skills you'll gain: Model Context Protocol, Docker (Software), Development Environment, LLM Application, Containerization, Large Language Modeling, Model Deployment, Hugging Face, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, OpenAI API, Application Deployment, Agentic Workflows, AI Integrations, Agentic systems, Jupyter

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Optimizing AI System Operations and Costs

    Skills you'll gain: Cloud Management, Patch Management, MLOps (Machine Learning Operations), Data Governance, Incident Management, Ansible, IT Automation, Data Management, Metadata Management, Site Reliability Engineering, Automation, Compliance Management, Continuous Monitoring, Cost Management, System Monitoring, Predictive Modeling, Forecasting, Cloud Computing, Financial Management, Data Quality

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Deploy, Evaluate and Create AI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Cloud Deployment, Continuous Deployment, Containerization, Docker (Software), DevOps, Release Management, Version Control, Continuous Delivery, Dependency Analysis, Performance Tuning, Performance Testing, Package and Software Management, Performance Analysis, Performance Metric, Application Performance Management, Application Development, Cost Benefit Analysis

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • C

    Coursera

    Evaluating LLM Performance and Efficiency

    Skills you'll gain: Product Requirements, Prompt Engineering, Prompt Patterns, LLM Application, Product Lifecycle Management, Process Design, Process Mapping, Token Optimization, User Requirements Documents, MLOps (Machine Learning Operations), Operational Efficiency, Business Process Automation, Product Management, Large Language Modeling, Model Optimization, Process Driven Development, Cost Containment, Process Optimization, Key Performance Indicators (KPIs), Artificial Intelligence and Machine Learning (AI/ML)

    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

  • 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

  • C

    Coursera

    Portfolio and Industry Readiness for Agentic AI Architects

    Skills you'll gain: Agentic Workflows, Technical Communication, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Professional Development, Generative AI Agents, MLOps (Machine Learning Operations), Technical Documentation, Coaching, Technical Writing, Portfolio Management, Project Documentation, Problem Solving, Communication Strategies, GitHub

    Intermediate · Course · 1 - 4 Weeks

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

  • Optimizing and Deploying LLM Systems: Edureka
  • Master Java Build Tools for ML Projects: Coursera
  • Building Reliable LLM Systems: Coursera
  • AWS: ML Workflows with SageMaker, Storage & Security : Whizlabs
  • Docker for AI/ML: Packt
  • Optimizing AI System Operations and Costs: Coursera
  • Deploy, Evaluate and Create AI Systems: Coursera
  • Choose Optimal Data Structures for ML: Coursera
  • Evaluating LLM Performance and Efficiency: Coursera
  • Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh: Google Cloud

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