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Results for "ml+pipelines"


  • Status: New
    New
    Status: Free Trial
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    C

    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
    New
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    Coursera

    Test & Debug Java ML Pipelines

    Skills you'll gain: JUnit, MLOps (Machine Learning Operations), CI/CD, Continuous Integration, Jenkins, Test Automation, Unit Testing, DevOps, Test Case, Debugging, Code Coverage, Model Evaluation, Data Pipelines, Test Data

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Build Next-Gen LLM Apps with LangChain & LangGraph

    Skills you'll gain: LangChain, LLM Application, Prompt Engineering, API Design, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Microservices, Application Deployment, Kubernetes, Scalability, Site Reliability Engineering, DevOps, CI/CD, Docker (Software), Python Programming, Containerization, System Monitoring, Cloud Platforms, Security Controls

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    EDUCBA

    Apply OpenGL Rendering Pipeline Architecture

    Skills you'll gain: Computer Graphics, Software Architecture, Development Environment, Software Design, Maintainability, Software Design Patterns, Visualization (Computer Graphics), Cross Platform Development, Computer Graphic Techniques, Integrated Development Environments, Scalability, C++ (Programming Language), System Design and Implementation, Video Game Development, Program Development, Debugging, Performance Tuning, Data Flow Diagrams (DFDs), Software Installation, System Configuration

    Beginner · Specialization · 3 - 6 Months

  • 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

  • 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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    329 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Large Language Model Operations (LLMOps)

    Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Model Deployment, LLM Application, Generative AI, Performance Analysis, Retrieval-Augmented Generation, Generative Model Architectures, Apache Airflow, Workflow Management, Hugging Face, Amazon Bedrock, Vector Databases, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, Multimodal Prompts, MLOps (Machine Learning Operations)

    4.4
    Rating, 4.4 out of 5 stars
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    293 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
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    Coursera

    Optimize AI: Build Reusable Model Pipelines

    Skills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Harden AI: Secure Your ML Pipelines

    Skills you'll gain: AI Security, Vulnerability Scanning, Hardening, DevSecOps, Vulnerability Assessments, Responsible AI, Identity and Access Management, MLOps (Machine Learning Operations), Infrastructure Security, Security Controls, Threat Modeling, Model Deployment, Model Evaluation, CI/CD, Continuous Monitoring, AI Personalization, Resilience, Compliance Management, Containerization, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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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
    New
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    Free Trial
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    Coursera

    Parse & Normalize Data for ML Pipelines

    Skills you'll gain: Data Preprocessing, Data Pipelines, Java, Data Processing, Feature Engineering, Data Cleansing, Data Quality, Data Transformation, Data Validation, Data Access, Continuous Monitoring, Unit Testing, Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Automate, Validate, and Promote ML Models Safely

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

1234…9

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

  • ML Production Systems: Coursera
  • Test & Debug Java ML Pipelines: Coursera
  • Build Next-Gen LLM Apps with LangChain & LangGraph: Coursera
  • Apply OpenGL Rendering Pipeline Architecture: EDUCBA
  • MLOps | Machine Learning Operations: Duke University
  • Microsoft AI & ML Engineering: Microsoft
  • Large Language Model Operations (LLMOps): Duke University
  • Optimize AI: Build Reusable Model Pipelines: Coursera
  • Harden AI: Secure Your ML Pipelines: Coursera
  • Production ML with Hugging Face: Pragmatic AI Labs

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