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Results for "no-code+ml"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate, Evaluate and Deploy ML Models Confidently

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, CI/CD, Continuous Deployment, Application Deployment, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Process Optimization, Verification And Validation, Automation, Key Performance Indicators (KPIs), Performance Analysis, Data-Driven Decision-Making

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Smart Analytics, Machine Learning, and AI on GCP 日本語版

    Skills you'll gain: Google Cloud Platform, Model Deployment, Unstructured Data, Tensorflow, Data Pipelines, Cloud API, Machine Learning, Jupyter, Artificial Intelligence and Machine Learning (AI/ML)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    C

    Coursera

    Zero-Shot & Few-Shot Learning: Master AI with Minimal Data

    Skills you'll gain: Prompt Engineering, Embeddings, Transfer Learning, Large Language Modeling, Small Data, Fraud detection, Applied Machine Learning, Model Evaluation, Machine Learning, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming

    3.6
    Rating, 3.6 out of 5 stars
    ·
    55 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    E

    EDUCBA

    Build Intelligent iOS Apps with Core ML 3: Learn & Apply AI

    Skills you'll gain: Apple iOS, iOS Development, Apple Xcode, Application Deployment, Swift Programming, User Interface (UI), Artificial Intelligence and Machine Learning (AI/ML), Knowledge of Apple Software, Image Analysis, Real Time Data, Mobile Development, Model Deployment, User Interface and User Experience (UI/UX) Design, Computer Vision, Natural Language Processing, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    LLMOps

    Skills you'll gain: Responsible AI, LLM Application, Large Language Modeling, Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Kubernetes, Model Evaluation, Software Versioning, Supervised Learning

    3.9
    Rating, 3.9 out of 5 stars
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    34 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    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
    ·
    63 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud - 日本語版

    Skills you'll gain: Google Cloud Platform, CI/CD, Apache Airflow, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Model Deployment, Metadata Management, AI Workflows, AI Orchestration, PyTorch (Machine Learning Library), Containerization

    Advanced · Course · 1 - 3 Months

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In summary, here are 9 of our most popular no-code+ml courses

  • Automate, Evaluate and Deploy ML Models Confidently: Coursera
  • Smart Analytics, Machine Learning, and AI on GCP 日本語版: Google Cloud
  • Zero-Shot & Few-Shot Learning: Master AI with Minimal Data: Coursera
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Learn to Choose the Right ML Model: Coursera
  • Build Intelligent iOS Apps with Core ML 3: Learn & Apply AI: EDUCBA
  • LLMOps: DeepLearning.AI
  • MLOps Tools: MLflow and Hugging Face: Duke University
  • ML Pipelines on Google Cloud - 日本語版: Google Cloud

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