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  • Mlops Framework

Results for "mlops framework"


  • D

    Duke University

    Large Language Model Operations (LLMOps)

    Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Model Deployment, LLM Application, Generative AI, Performance Analysis, Retrieval-Augmented Generation, Generative Model Architectures, Apache Airflow, Workflow Management, Hugging Face, Amazon Bedrock, Vector Databases, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, Multimodal Prompts, MLOps (Machine Learning Operations)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    305 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Automate ML Pipelines for Peak Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Workflow Management, Predictive Modeling, Scalability, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Cybersecurity Compliance Framework, Standards & Regulations

    Skills you'll gain: IT Service Management, Governance Risk Management and Compliance, Information Technology Infrastructure Library, Responsible AI, NIST 800-53, Information Technology, Regulatory Compliance, Auditing, Cybersecurity, Compliance Management, ISO/IEC 27001, Control Objectives for Information and Related Technology (COBIT), Security Controls, Artificial Intelligence, Open Web Application Security Project (OWASP), Risk Management, Payment Card Industry (PCI) Data Security Standards, General Data Protection Regulation (GDPR)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    End-to-End Multimodal AI: Fine-Tuning, Fusion, and MLOps

    Skills you'll gain: API Design, MLOps (Machine Learning Operations), Restful API, OAuth, Model Deployment, Model Evaluation, Transfer Learning, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Stakeholder Communications, PyTorch (Machine Learning Library), Machine Learning Software, Applied Machine Learning, Artificial Intelligence, Solution Architecture, Machine Learning, Data Architecture, Machine Learning Algorithms, Data Science

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Production ML Engineering: Packaging, APIs, and Testing

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Software Documentation, Continuous Delivery, Test Automation, CI/CD, Continuous Integration, Technical Documentation, Unit Testing, API Design, Application Programming Interface (API), Maintainability, Version Control, Package and Software Management, Code Review, Verification And Validation

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Python Essentials for MLOps

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Model Deployment, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

    4.2
    Rating, 4.2 out of 5 stars
    ·
    355 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Deploy, Manage, and Orchestrate Your Models

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    MLOps Tools: MLflow and Hugging Face

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Hugging Face, Containerization, CI/CD, DevOps, Docker (Software), Microsoft Azure, Cloud Computing, Machine Learning Software, Transfer Learning, Model Evaluation, GitHub

    3.7
    Rating, 3.7 out of 5 stars
    ·
    64 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Deploy & Optimize ML Services Confidently

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), DevOps, Service Level Agreement, API Design, Performance Measurement, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deploying and Maintaining Production AI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Generative AI, Dependency Analysis, Dashboard, Application Deployment, Continuous Deployment, System Monitoring, Responsible AI, Performance Tuning, Site Reliability Engineering, Release Management, Kubernetes, Application Performance Management, CI/CD, Performance Analysis, Continuous Monitoring, Automation, Cloud Platforms, Data-Driven Decision-Making

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Orchestrate, Analyze, and Evaluate ML Pipelines

    Skills you'll gain: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Data Preprocessing, Service Level, Model Evaluation, Real Time Data, Data Store, Data Transformation, Data Validation, Key Performance Indicators (KPIs)

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pragmatic AI Labs

    Production ML with Hugging Face

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Hugging Face, Rust (Programming Language), Cloud Deployment, Application Deployment, CI/CD, Performance Tuning, Large Language Modeling, Performance Testing, Cross Platform Development, Cryptography

    Intermediate · Course · 1 - 4 Weeks

1234…246

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

  • Large Language Model Operations (LLMOps): Duke University
  • Automate ML Pipelines for Peak Performance: Coursera
  • Cybersecurity Compliance Framework, Standards & Regulations: IBM
  • End-to-End Multimodal AI: Fine-Tuning, Fusion, and MLOps: Coursera
  • Production ML Engineering: Packaging, APIs, and Testing: Coursera
  • Python Essentials for MLOps: Duke University
  • Deploy, Manage, and Orchestrate Your Models: Coursera
  • MLOps Tools: MLflow and Hugging Face: Duke University
  • Deploy & Optimize ML Services Confidently: Coursera
  • Deploying and Maintaining Production AI Systems: Coursera

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