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  • Core Ml

Results for "core ml"


  • Status: New
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    Coursera

    Orchestrate, Analyze, and Evaluate ML Pipelines

    Skills you'll gain: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Service Level, AI Orchestration, Data Store, Data Transformation, Change Control, Key Performance Indicators (KPIs)

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Deconstruct AI: Complex ML Problems

    Skills you'll gain: MLOps (Machine Learning Operations), Computational Thinking, Systems Design, Software Architecture, Data Processing, Process Modeling, Code Reusability, Solution Design, Diagram Design, Process Mapping, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Automate and Evaluate ML Pipeline Tests

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Regression Testing, Unit Testing, Test Script Development, Test Case, System Testing, Test Automation, Software Testing, Integration Testing, Verification And Validation, Anomaly Detection, Data Integrity, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Machine Learning Software, Dimensionality Reduction, Machine Learning, Predictive Modeling, Data Wrangling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting

    4.5
    Rating, 4.5 out of 5 stars
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    15 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Develop Production-Ready ML APIs with MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), AI Workflows, API Design, CI/CD, Software Quality Assurance, Code Review, Software Engineering, Software Versioning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Automate ML Pipelines for Peak Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, Model Training, Workflow Management, Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Integrate, Scale, and Monitor ML Microservices

    Skills you'll gain: Microservices, MLOps (Machine Learning Operations), Application Performance Management, AI Integrations, Site Reliability Engineering, AI Workflows, Continuous Monitoring, Performance Analysis, Event-Driven Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    ML: Build, Train, Justify Models

    Skills you'll gain: Model Training, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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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 Management, Model Training, Data Security, Amazon Web Services, Application Deployment, General Data Protection Regulation (GDPR), Model Optimization, Information Privacy

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Choose Cost-Effective ML Algorithms Fast

    Skills you'll gain: Model Training, Benchmarking, Decision Intelligence, Resource Utilization, Cost Estimation, Resource Consumption Accounting, Memory Management, Run Chart, Analysis, Cost Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Board Infinity

    MLOps and LLMOps: Deploying and Scaling AI in Production

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, LLM Application, Application Deployment, Model Training, Cloud Deployment, Continuous Deployment, AI Workflows, AI Security, Data Ethics, Responsible AI, Prompt Engineering, Retrieval-Augmented Generation, Scalability, CI/CD, Site Reliability Engineering, Model Evaluation, Release Management, System Monitoring, Containerization

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

1234…316

In summary, here are 10 of our most popular core ml courses

  • Orchestrate, Analyze, and Evaluate ML Pipelines: Coursera
  • Deconstruct AI: Complex ML Problems: Coursera
  • Automate and Evaluate ML Pipeline Tests: Coursera
  • Foundations of Machine Learning: Coursera
  • Develop Production-Ready ML APIs with MLOps: Coursera
  • Automate ML Pipelines for Peak Performance: Coursera
  • Integrate, Scale, and Monitor ML Microservices: Coursera
  • ML: Build, Train, Justify Models: Coursera
  • Deploy ML Models to Production: KodeKloud
  • Choose Cost-Effective ML Algorithms Fast: Coursera

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