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  • No Code Ml

Results for "no-code ml"


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    Coursera

    Deconstruct AI: Complex ML Problems

    Skills you'll gain: MLOps (Machine Learning Operations), Computational Thinking, Data Processing, Solution Design, Process Mapping, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Continuous Deployment, Machine Learning, Continuous Integration, Automation, Data Pipelines

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    481 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Engineer, Validate, and Govern ML Data

    Skills you'll gain: Apache Airflow, Data Governance, Apache Spark, PySpark, Databricks

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Automate ML Pipelines for Peak Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Workflow Management, Predictive Modeling, Scalability, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

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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

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    KodeKloud

    Deploy ML Models to Production

    Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Security, Application Deployment, Personally Identifiable Information, Cloud Deployment, General Data Protection Regulation (GDPR), Continuous Deployment, Model Evaluation, Application Programming Interface (API), Continuous Monitoring

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Validate, Analyze, and Monitor ML Models

    Skills you'll gain: Verification And Validation, Experimentation, Performance Testing, Benchmarking, Performance Analysis, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, AI Workflows, Scalability, AI Orchestration, DevOps, Model Evaluation, Continuous Monitoring, Version Control

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Optimize and Evaluate Your No-Code Automation

    Skills you'll gain: Performance Tuning, No-Code Development, Business Process Automation, Operational Analysis, Automation, Performance Analysis, Process Improvement and Optimization, System Monitoring, Business Workflow Analysis, Process Optimization, Operational Efficiency, Maintainability, Workflow Management, Project Performance, Scalability, Analysis, Solution Architecture, Data-Driven Decision-Making, Strategic Decision-Making, System Implementation

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Integrate, Scale, and Monitor ML Microservices

    Skills you'll gain: Microservices, MLOps (Machine Learning Operations), Application Performance Management, Site Reliability Engineering, Testability, Continuous Monitoring, Maintainability, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Optimize ML Dev: Version, Reproduce, and Save

    Skills you'll gain: Git (Version Control System), Version Control, Continuous Integration, Jupyter, Package and Software Management, Resource Utilization, Virtual Environment

    Intermediate · Course · 1 - 4 Weeks

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    KodeKloud

    ML Model Development and Tracking: Hands-on Guide

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Applied Machine Learning, Computer Hardware

    Beginner · Course · 1 - 4 Weeks

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

  • Deconstruct AI: Complex ML Problems: Coursera
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Engineer, Validate, and Govern ML Data: Coursera
  • Automate ML Pipelines for Peak Performance: Coursera
  • Automate, Enhance, and No-Code Apps: Coursera
  • Deploy ML Models to Production: KodeKloud
  • Validate, Analyze, and Monitor ML Models: Coursera
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Optimize and Evaluate Your No-Code Automation: Coursera
  • Integrate, Scale, and Monitor ML Microservices: Coursera

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