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Results for "automl"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate, Analyze, and Evaluate ML Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Preprocessing, Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Data Cleansing, AI Enablement, Prompt Engineering, Cloud Deployment, AI Workflows, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Auto Machine Learning (AutoML) Using AutoGluon

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Classification Algorithms, Model Evaluation, Machine Learning, Python Programming, Prototyping

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Developing Data Models with LookML

    Skills you'll gain: Looker (Software), Data Modeling, Dashboard, Database Design, Data Warehousing, SQL, Data Analysis, Data Persistence, Version Control

    4.7
    Rating, 4.7 out of 5 stars
    ·
    71 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Classify Images of Clouds in the Cloud with AutoML Vision

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Google Cloud Platform, Image Analysis, Cloud Computing, Cloud Storage, Predictive Modeling, Data Import/Export

    4.1
    Rating, 4.1 out of 5 stars
    ·
    13 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Deploying, Managing, and Experimenting with Models

    Skills you'll gain: Model Deployment, Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Management, Cloud Deployment, Applied Machine Learning, Model Evaluation, Scalability, Data Preprocessing, Machine Learning, Performance Tuning, Feature Engineering, Machine Learning Algorithms

    Advanced · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
    ·
    178 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Functions, Tools and Agents with LangChain

    Skills you'll gain: LangChain, LLM Application, Tool Calling, ChatGPT, Generative AI Agents, Prompt Engineering, Application Development, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    115 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Verification And Validation, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate Data Pipelines: Schema Evolution

    Skills you'll gain: Apache Airflow, Data Pipelines, Data Validation, Extract, Transform, Load, Data Migration, Real Time Data, Data Quality, Data Integrity, Data Transformation, Data Modeling, Continuous Monitoring, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate Data Deployments with CI/CD Pipelines

    Skills you'll gain: CI/CD, Continuous Deployment, Data Pipelines, Continuous Integration, Application Deployment, Docker (Software), Data Infrastructure, Cloud Deployment, Software Engineering, Azure DevOps, Data Validation, GitHub, System Monitoring, Scalability

    Beginner · Course · 1 - 4 Weeks

1234…10

In summary, here are 10 of our most popular automl courses

  • Automate, Analyze, and Evaluate ML Experiments: Coursera
  • Machine Learning on Google Cloud: Google Cloud
  • Auto Machine Learning (AutoML) Using AutoGluon : Coursera
  • Developing Data Models with LookML: Google Cloud
  • Classify Images of Clouds in the Cloud with AutoML Vision: Google Cloud
  • Azure ML: Deploying, Managing, and Experimenting with Models: Whizlabs
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Functions, Tools and Agents with LangChain: DeepLearning.AI
  • Automate, Validate, and Promote ML Models Safely: Coursera
  • Automate, Optimize, and Monitor ML Models: Coursera

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