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  • No Code Ml

Results for "no-code ml"


  • Status: New
    New
    Status: Free Trial
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    Board Infinity

    Real-World Applications & Model Deployment in Java

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Jenkins, Applied Machine Learning, CI/CD, Java, Continuous Deployment, Java Programming, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management, Continuous Monitoring, Enterprise Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

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

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Feature Engineering, Data Processing, MLOps (Machine Learning Operations), Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Transformation, Application Deployment, Machine Learning, Scalability

    3.4
    Rating, 3.4 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Vanderbilt University

    Claude Code: Software Engineering with Generative AI Agents

    Skills you'll gain: Prompt Engineering, Anthropic Claude, Multimodal Prompts, Version Control, Generative AI Agents, Git (Version Control System), Generative AI, Software Quality Assurance, Software Development, Mockups, Test Automation, Software Documentation, Artificial Intelligence, Software Development Life Cycle, Software Architecture, Automation, Software Testing, Software Design, Software Development Methodologies

    4.9
    Rating, 4.9 out of 5 stars
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    66 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Pearson

    AWS Certified Machine Learning - Specialty

    Skills you'll gain: Exploratory Data Analysis, Data Analysis, Amazon Elastic Compute Cloud, Amazon CloudWatch, Application Deployment, Predictive Modeling, Data Pipelines, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Microsoft

    Build and Operate Machine Learning Solutions with Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Data Ethics, Data Pipelines, Responsible AI, Machine Learning, Information Privacy, Continuous Monitoring, Data Security, Performance Tuning, Scalability

    3.8
    Rating, 3.8 out of 5 stars
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    68 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Build your first Machine Learning Pipeline using Dataiku

    Skills you'll gain: Data Import/Export, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Analysis, Machine Learning, Predictive Analytics, Time Series Analysis and Forecasting

    4.5
    Rating, 4.5 out of 5 stars
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    59 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
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    Google Cloud

    ML Pipelines on Google Cloud - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, CI/CD, Apache Airflow, Tensorflow, Data Pipelines, Metadata Management, Application Lifecycle Management, PyTorch (Machine Learning Library), Containerization, Scalability

    Advanced · Course · 1 - 3 Months

  • Status: New
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    Northeastern University

    Machine Learning with Small Data Part 1

    Skills you'll gain: Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Unsupervised Learning, Tensorflow, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Artificial Intelligence, Computer Vision

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    Whizlabs

    AWS: ML Workflows with SageMaker, Storage & Security

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Amazon CloudWatch, AWS Identity and Access Management (IAM), Data Pipelines, Real Time Data, Feature Engineering, Data Storage, Data Security, Encryption

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework), Automation

    4.5
    Rating, 4.5 out of 5 stars
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    87 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Board Infinity

    Machine Learning Fundamentals for Java Developers

    Skills you'll gain: Decision Tree Learning, Fraud detection, Regression Analysis, Debugging

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistics, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Management, Virtual Machines

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular no-code ml courses

  • Real-World Applications & Model Deployment in Java : Board Infinity
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Français: Google Cloud
  • Claude Code: Software Engineering with Generative AI Agents: Vanderbilt University
  • AWS Certified Machine Learning - Specialty: Pearson
  • Build and Operate Machine Learning Solutions with Azure: Microsoft
  • Build your first Machine Learning Pipeline using Dataiku : Coursera
  • ML Pipelines on Google Cloud - Français: Google Cloud
  • Machine Learning with Small Data Part 1: Northeastern University
  • AWS: ML Workflows with SageMaker, Storage & Security : Whizlabs
  • Cloud Machine Learning Engineering and MLOps: Duke University

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