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  • Web Api For Ml Models

Results for "web API for ML models"


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    Pragmatic AI Labs

    Machine Learning with Databricks and MLflow

    Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Orchestrate ML Workflows with Vertex AI Pipelines

    Skills you'll gain: MLOps (Machine Learning Operations), AI Orchestration, AI Workflows, Data Pipelines, Model Deployment, Agentic Workflows, Generative AI Agents, Google Cloud Platform, Forecasting, Model Training, Agentic systems, Prompt Engineering, Automation

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Production-Ready Multimodal ML Engineering

    Skills you'll gain: MLOps (Machine Learning Operations), Data Validation, Model Deployment, Test Driven Development (TDD), Apache Airflow, Data Pipelines, Containerization, Extract, Transform, Load, Kubernetes, Model Training, Data Integrity, Model Optimization, Cloud-Native Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Artificial Intelligence, Artificial Neural Networks, Machine Learning Algorithms, Natural Language Processing, Algorithms

    Intermediate · Course · 3 - 6 Months

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    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Validation, Data Quality

    Beginner · Course · 1 - 4 Weeks

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    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), GitHub Copilot, Responsible AI, Model Deployment, Containerization, Web Frameworks, Rust (Programming Language), AI Workflows, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, Cloud-Native Computing, Machine Learning, Serverless Computing, Application Deployment, GitHub, Command-Line Interface, Big Data

    4.1
    Rating, 4.1 out of 5 stars
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    221 reviews

    Advanced · Course · 1 - 3 Months

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    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Model Training, Containerization, AI Workflows, Model Optimization, Scalability, Devops Tools, DevOps, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, Model Training, Model Optimization, Deep Learning, Data Preprocessing, Artificial Neural Networks, Data Processing, Machine Learning, Python Programming, Data Transformation, Application Programming Interface (API)

    4.4
    Rating, 4.4 out of 5 stars
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    2.8K reviews

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Automate, Validate, and Promote ML Models Safely

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

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Model Optimization, Model Training, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

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    Scrimba

    Intro to Model Context Protocol (MCP)

    Skills you'll gain: Model Context Protocol, AI Workflows, AI Integrations, Generative AI Agents, Tool Calling, OpenAI API, Agentic Workflows, Anthropic Claude, Context Management, Real Time Data, Debugging, Artificial Intelligence and Machine Learning (AI/ML), Servers, Artificial Intelligence, Data Access, Generative AI, Interoperability, Server Administration

    2.9
    Rating, 2.9 out of 5 stars
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    14 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Model Training, Application Deployment, AI Workflows, Model Evaluation, Real Time Data, Engineering

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Optimize and Manage Your ML Codebase

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

    Intermediate · Course · 1 - 4 Weeks

1…456…834

In summary, here are 10 of our most popular web API for ML models courses

  • Machine Learning with Databricks and MLflow: Pragmatic AI Labs
  • Orchestrate ML Workflows with Vertex AI Pipelines: Google Cloud
  • Production-Ready Multimodal ML Engineering: Coursera
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • DevOps, DataOps, MLOps: Duke University
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • Automate, Validate, and Promote ML Models Safely: Coursera
  • Automate, Optimize, and Monitor ML Models: Coursera
  • Intro to Model Context Protocol (MCP): Scrimba

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