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  • No Code Ml

Results for "no-code ml"


  • Status: New
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    Coursera

    Build AI Apps Like a Pro: No-Code Tools for Beginners

    Skills you'll gain: User Story, Prompt Engineering, No-Code Development, User Feedback, Technical Communication, Application Deployment, AI Security, Performance Tuning, Data Wrangling, Version Control, Business Process Automation, API Testing, DevSecOps, Site Reliability Engineering, Integration Testing, Application Security, Application Programming Interface (API), Agile Methodology, LLM Application, Data Integration

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    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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    325 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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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

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    Coursera

    Automate, Enhance, and No-Code Apps

    Skills you'll gain: No-Code Development, Workflow Management, Business Process Modeling, Process Mapping, Business Process, Data Integration

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    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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    582 reviews

    Advanced · Specialization · 3 - 6 Months

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    LearnQuest

    Build AI Apps with No-Code Tools

    Skills you'll gain: Data Ethics, Predictive Modeling, No-Code Development, Model Deployment, Data Visualization, Data Presentation, Responsible AI, Data-Driven Decision-Making, Advanced Analytics, Business Intelligence, Business Analytics, Data Cleansing, Business Reporting, Global Marketing, LLM Application, AI Enablement, User Feedback, Data Preprocessing, Predictive Analytics, Data Architecture

    Beginner · Specialization · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
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    Google Cloud

    Building No-Code Apps with AppSheet

    Skills you'll gain: No-Code Development, Email Automation, Business Process Automation, Application Deployment, Automation, Business Process, Workflow Management, Google Workspace, Application Design, Application Development, Application Performance Management, User Interface and User Experience (UI/UX) Design, Data Integration, Authorization (Computing), Authentications, Cloud Applications, Google Sheets, Application Lifecycle Management, User Interface (UI), Data Management

    4.7
    Rating, 4.7 out of 5 stars
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    191 reviews

    Beginner · Specialization · 3 - 6 Months

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    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

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    Coursera

    Systematic ML Optimization

    Skills you'll gain: MLOps (Machine Learning Operations), Image Analysis, Multimodal Prompts, Debugging, Computer Vision, Model Evaluation, Applied Machine Learning, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Performance Analysis, Machine Learning, Performance Tuning, Deep Learning, Artificial Neural Networks, Tensorflow, Data Visualization, Python Programming, Experimentation, Algorithms

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Apply Test-Driven ML Code

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), CI/CD, Software Testing, Model Deployment, Testability, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Software Engineering, Machine Learning Methods, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Automate, Optimize, and Monitor ML Models

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Apply SOLID Design to Optimize Java ML

    Skills you'll gain: Apache Maven, Maintainability, Gradle, Java, Software Design, Software Design Patterns, Software Architecture, Object Oriented Design, Object Oriented Programming (OOP), API Design, Machine Learning Methods, Programming Principles, Integration Testing, Dependency Analysis, User Interface (UI) Design, Design Strategies, Program Evaluation, Automation

    Advanced · Course · 1 - 4 Weeks

Searches related to no-code ml

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

  • Build AI Apps Like a Pro: No-Code Tools for Beginners: Coursera
  • Microsoft AI & ML Engineering: Microsoft
  • Level Up: Java-Powered Machine Learning: Coursera
  • Automate, Enhance, and No-Code Apps: Coursera
  • MLOps | Machine Learning Operations: Duke University
  • Build AI Apps with No-Code Tools: LearnQuest
  • Building No-Code Apps with AppSheet: Google Cloud
  • ML Production Systems: Coursera
  • Systematic ML Optimization: Coursera
  • Apply Test-Driven ML Code: Coursera

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