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  • Web Api For Ml Models

Results for "web api for ml models"


  • Status: New
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    V

    Vanderbilt University

    AI Agents with Model Context Protocol & Typescript

    Skills you'll gain: Claude Code, Prompt Engineering, Model Context Protocol, ChatGPT, Prompt Patterns, Anthropic Claude, AI Workflows, Ideation, Verification And Validation, Prompt Engineering Tools, LLM Application, Generative AI Agents, Multimodal Prompts, Agentic Workflows, AI Orchestration, AI Enablement, Generative AI, Agentic systems, AI Security, Artificial Intelligence and Machine Learning (AI/ML)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
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    586 reviews

    Advanced · Specialization · 3 - 6 Months

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    Packt

    AI Agents and MLOps for Production-Ready AI

    Skills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Docker (Software), Agentic systems, Google Cloud Platform, AWS SageMaker, CI/CD, Cloud Platforms, DevOps, Azure DevOps Pipelines, Kubernetes, Applied Machine Learning, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Vanderbilt University

    AI Agents with Model Context Protocol

    Skills you'll gain: Claude Code, Prompt Engineering, Model Context Protocol, ChatGPT, Prompt Patterns, Anthropic Claude, AI Workflows, Prompt Engineering Tools, LLM Application, Generative AI Agents, Multimodal Prompts, Agentic Workflows, AI Orchestration, AI Enablement, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Agentic systems, AI Product Strategy, AI Personalization

    4.8
    Rating, 4.8 out of 5 stars
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    7.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    M

    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Azure DevOps, Reinforcement Learning, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
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    335 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
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    C

    Coursera

    ML Model Training & Validation

    Skills you'll gain: Deep Learning, Transfer Learning, Systems Design, Model Evaluation, Feature Engineering, Predictive Modeling, MLOps (Machine Learning Operations), Applied Machine Learning, Supervised Learning, Data Preprocessing, Data Pipelines, Python Programming, Scikit Learn (Machine Learning Library), Software Engineering, Debugging, Data Quality, Data Validation, Performance Metric, Git (Version Control System), Statistical Analysis

    Intermediate · Specialization · 1 - 3 Months

What brings you to Coursera today?

  • Status: New
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    Coursera

    AI Model Development & Deployment

    Skills you'll gain: Network Architecture, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Transfer Learning, Systems Design, AWS SageMaker, Model Evaluation, API Design, Model Deployment, MLOps (Machine Learning Operations), Cloud Computing, CI/CD, Data Pipelines, Python Programming, Unit Testing, Performance Tuning, Software Engineering, Data Validation

    Intermediate · Specialization · 1 - 3 Months

  • The Google AI Certificate that powers your career

    Enroll now
  • Status: New
    New
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    C

    Coursera

    ML Production Systems

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), Software Testing, Scalability, Dashboard, MLOps (Machine Learning Operations), Testability, Kubernetes, Version Control, Model Deployment, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Tensorflow, CI/CD, Containerization, Docker (Software), Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Level Up: Java-Powered Machine Learning

    Skills you'll gain: Model Evaluation, Data Preprocessing, JUnit, Build Tools, Java Programming, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    C

    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Verification And Validation, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Automate, Validate, and Promote ML Models Safely

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Optimize and Manage Your ML Codebase

    Skills you'll gain: MLOps (Machine Learning Operations), Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Development Methodologies, Software Versioning, Release Management, Continuous Delivery, PyTorch (Machine Learning Library), Performance Improvement, Software Testing

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

1234…834

In summary, here are 10 of our most popular web api for ml models courses

  • AI Agents with Model Context Protocol & Typescript: Vanderbilt University
  • MLOps | Machine Learning Operations: Duke University
  • AI Agents and MLOps for Production-Ready AI: Packt
  • AI Agents with Model Context Protocol: Vanderbilt University
  • Microsoft AI & ML Engineering: Microsoft
  • ML Model Training & Validation: Coursera
  • AI Model Development & Deployment: Coursera
  • ML Production Systems: Coursera
  • Level Up: Java-Powered Machine Learning: Coursera
  • Automate, Optimize, and Monitor ML Models: Coursera

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