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  • Web Api For Ml Models

Results for "web API for ML models"


  • C

    Coursera

    Gradient to Production: MLOps & Model Serving

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Performance Metric, Python Programming, Version Control, Verification And Validation

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    Duke University

    MLOps | Machine Learning Operations

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

    ★ 4.2 (607) · Advanced · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • V

    Vanderbilt University

    AI Agents with Model Context Protocol

    Skills you'll gain: Claude Code, Prompt Engineering, Model Context Protocol, ChatGPT, Prompt Patterns, Anthropic Claude, Token Optimization, AI Workflows, Prompt Engineering Tools, 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 (8K) · Beginner · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    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

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    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

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    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

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Model Optimization, Generative AI, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, Machine Learning Methods, MLOps (Machine Learning Operations), Google Cloud Platform, Model Evaluation, Data Cleansing, Data Quality, Cloud Computing

    ★ 4.4 (3.8K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Pragmatic AI Labs

    GitHub: Evaluating and Integrating AI Models

    Skills you'll gain: Responsible AI, Model Evaluation, AI Integrations, Model Deployment, GitHub, Application Programming Interface (API), AI Enablement, Generative AI, Development Environment, API Design, LLM Application, Cloud Development, Microsoft Azure, Prompt Engineering, Capacity Management, Scalability, Authentications, Data Validation

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • V

    Vanderbilt University

    AI Agents with Model Context Protocol & Typescript

    Skills you'll gain: Claude Code, Prompt Engineering, Model Context Protocol, ChatGPT, AI powered creativity, Prompt Patterns, Anthropic Claude, Token Optimization, AI Workflows, Ideation, Prompt Engineering Tools, 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 (8.6K) · Beginner · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    ML Data Pipelines and Communicating AI Insights

    Skills you'll gain: Feature Engineering, Extract, Transform, Load, Data Pipelines, Data Transformation, Model Evaluation, Pandas (Python Package), Data Storytelling, Data Presentation, Data Preprocessing, Data Processing, PySpark, Data Quality, Apache Spark, Data-Driven Decision-Making, A/B Testing, Data Analysis, Model Training, Data Visualization, Data Governance, Machine Learning

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    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

    Category: New
    New
    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
1234…834

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

  • Gradient to Production: MLOps & Model Serving: Coursera
  • MLOps | Machine Learning Operations: Duke University
  • AI Agents with Model Context Protocol: Vanderbilt University
  • Machine Learning with Databricks and MLflow: Pragmatic AI Labs
  • ML: Build, Train, Justify Models: Coursera
  • Orchestrate ML Workflows with Vertex AI Pipelines: Google Cloud
  • Production-Ready Multimodal ML Engineering: Coursera
  • Machine Learning on Google Cloud: Google Cloud
  • GitHub: Evaluating and Integrating AI Models: Pragmatic AI Labs
  • AI Agents with Model Context Protocol & Typescript: Vanderbilt University

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