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  • No Code Ml

Results for "no-code ml"


  • C

    Coursera

    Integrate AI: Streamline No-Code App Responses

    Skills you'll gain: AI Integrations, AI Security, LLM Application, Application Development, No-Code Development, AI Enablement, OAuth, Application Programming Interface (API), Dataflow, Real Time Data, Key Management, Authentications, Data Integration, User Interface (UI), User Interface (UI) Design, Authorization (Computing), Live Streaming, User Interface and User Experience (UI/UX) Design, Automation, Scalability

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Automate, Optimize, and Monitor ML Models

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

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Apply Test-Driven ML Code

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

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    ★ 4.5 (830) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • B

    Board Infinity

    Real-World Applications & Model Deployment in Java

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Data Ethics, Jenkins, AI Security, Applied Machine Learning, CI/CD, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Reinforcement Learning, Spring Boot, Enterprise Application Management

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Track and Evaluate ML Model Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Training, Model Deployment, Version Control, Large Language Modeling, Predictive Modeling, Data Management, Dashboard, Interactive Data Visualization, Machine Learning, Record Keeping, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

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

    LearnQuest

    No-Code AI Foundations for Business Professionals

    Skills you'll gain: AI Enablement, No-Code Development, Business Transformation, Digital Transformation, Business Leadership, Solution Design, Organizational Change, Change Management, Data Storytelling, Business Priorities, Business Analysis, Business Communication, Influencing, Technical Communication, Automation, Communication, Stakeholder Engagement

    Beginner · Course · 1 - 4 Weeks

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

    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Model Evaluation, Model Training, Model Optimization, Model Deployment, Data Preprocessing, AI Workflows, Fine-tuning, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

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

    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

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

    Coursera

    Optimize and Evaluate Your No-Code Automation

    Skills you'll gain: Performance Tuning, No-Code Development, Performance Testing, Business Process Automation, Operational Analysis, Automation, Performance Analysis, Process Improvement and Optimization, System Monitoring, Operational Excellence, Process Optimization, Operational Efficiency, Business Priorities, Maintainability, Workflow Management, Project Performance, Cost Benefit Analysis, Scalability, Analysis, Solution Architecture

    Intermediate · Course · 1 - 4 Weeks

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

    Microsoft

    Microsoft Azure for AI and Machine Learning

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), AI Integrations, Model Training, Cloud Deployment, Data Pipelines, AI Workflows, AI Security, Data Preprocessing, CI/CD, Continuous Monitoring, Identity and Access Management, Version Control, Data Storage

    ★ 4.6 (25) · Intermediate · Course · 1 - 3 Months

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

    Whizlabs

    AWS: Machine Learning & MLOps Foundations

    Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Processing, Machine Learning, Supervised Learning, Machine Learning Algorithms, Unsupervised Learning, Classification Algorithms

    ★ 4.3 (6) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…789…567

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

  • Integrate AI: Streamline No-Code App Responses: Coursera
  • Automate, Optimize, and Monitor ML Models: Coursera
  • Apply Test-Driven ML Code: Coursera
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Real-World Applications & Model Deployment in Java : Board Infinity
  • Track and Evaluate ML Model Experiments: Coursera
  • No-Code AI Foundations for Business Professionals: LearnQuest
  • Building, Evaluating, and Operationalizing ML Models: Packt
  • Automate, Validate, and Promote ML Models Safely: Coursera
  • Optimize and Evaluate Your No-Code Automation: Coursera

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