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Results for "ml+deployment+challenges"


  • Status: New
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    Coursera

    AI Model Development & Deployment

    Skills you'll gain: Network Architecture, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Transfer Learning, Systems Design, AWS SageMaker, Model Evaluation, API Design, Model Deployment, MLOps (Machine Learning Operations), Cloud Computing, CI/CD, Data Pipelines, Python Programming, Unit Testing, Performance Tuning, Software Engineering, Data Validation

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Deploy, Evaluate and Create AI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Cloud Deployment, Continuous Deployment, Containerization, Docker (Software), DevOps, Release Management, Version Control, Dependency Analysis, Performance Tuning, CI/CD, Performance Testing, Package and Software Management, Performance Analysis, Performance Metric, Application Performance Management, Application Development, Cost Benefit Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Pragmatic AI Labs

    Production ML with Hugging Face

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Hugging Face, Rust (Programming Language), Cloud Deployment, Application Deployment, CI/CD, Performance Tuning, Large Language Modeling, Performance Testing, Cross Platform Development, Cryptography

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    ML Model Training & Validation

    Skills you'll gain: Deep Learning, Transfer Learning, Systems Design, Model Evaluation, Feature Engineering, Predictive Modeling, MLOps (Machine Learning Operations), Applied Machine Learning, Supervised Learning, Data Preprocessing, Data Pipelines, Python Programming, Scikit Learn (Machine Learning Library), Software Engineering, Debugging, Data Quality, Data Validation, Performance Metric, Git (Version Control System), Statistical Analysis

    Intermediate · Specialization · 1 - 3 Months

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    Coursera

    Optimize and Manage Your ML Codebase

    Skills you'll gain: MLOps (Machine Learning Operations), Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Development Methodologies, Model Evaluation, Software Versioning, Release Management, Continuous Delivery, Performance Testing, PyTorch (Machine Learning Library), Performance Improvement

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Automate, Evaluate and Deploy ML Models Confidently

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, CI/CD, Continuous Deployment, Application Deployment, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Process Optimization, Verification And Validation, Automation, Key Performance Indicators (KPIs), Performance Analysis, Data-Driven Decision-Making

    Advanced · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: New
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    Coursera

    Agentic AI Performance & Reliability

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    GenAI Deployment & Governance

    Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Prompt Engineering, Continuous Deployment, Generative AI, System Monitoring, CI/CD, Responsible AI, Automation, DevOps, Compliance Management, Performance Tuning, Data Pipelines, Kubernetes, Docker (Software), Containerization, Data Security, Risk Management, Dashboard, Cloud Platforms

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    Analyze & Deploy Scalable LLM Architectures

    Skills you'll gain: Retrieval-Augmented Generation, Model Deployment, Kubernetes, Containerization, LLM Application, Application Deployment, Large Language Modeling, Release Management, MLOps (Machine Learning Operations), Cloud Deployment, Configuration Management, Continuous Delivery, Scalability, Application Performance Management, Performance Tuning, Performance Analysis, Infrastructure as Code (IaC), Performance Testing, Systems Analysis, Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: 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
    ·
    582 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
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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

  • Status: New
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    Microsoft

    MLOps and responsible AI practices

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Data Ethics, Version Control, Generative AI, AI Workflows, Application Lifecycle Management, Microsoft Azure, CI/CD, Git (Version Control System), Continuous Deployment, Artificial Intelligence, Continuous Integration, System Monitoring

    Intermediate · Course · 1 - 4 Weeks

1234…9

In summary, here are 10 of our most popular ml+deployment+challenges courses

  • AI Model Development & Deployment: Coursera
  • Deploy, Evaluate and Create AI Systems: Coursera
  • Production ML with Hugging Face: Pragmatic AI Labs
  • ML Model Training & Validation: Coursera
  • Optimize and Manage Your ML Codebase: Coursera
  • Automate, Evaluate and Deploy ML Models Confidently: Coursera
  • Agentic AI Performance & Reliability: Coursera
  • GenAI Deployment & Governance: Coursera
  • Analyze & Deploy Scalable LLM Architectures: Coursera
  • MLOps | Machine Learning Operations: Duke University

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