Exploring Azure Machine Learning Studio Techniques

Duration: Hours



    Training Mode: Online


    “Exploring Azure Machine Learning Studio Techniques” is a comprehensive training program designed to equip participants with the knowledge and skills needed to leverage the capabilities of Microsoft’s Azure Machine Learning Studio effectively at Locus Academy .

    Through a combination of theoretical instruction and hands-on practical exercises, participants will delve into various techniques and methodologies essential for developing, deploying, and managing machine learning models within the Azure ecosystem. The training covers a wide range of topics, including data preprocessing, feature engineering, model selection, hyperparameter tuning, and evaluation metrics.

    Participants will also learn how to integrate Azure Machine Learning Studio with other Azure services, such as Azure Databricks and Azure DevOps, to create end-to-end machine learning pipelines. By the end of the training, participants will have gained a solid understanding of Azure Machine Learning Studio and be well-prepared to apply its techniques to real-world machine learning projects.



    Unit 1: Introduction to Azure ML Studio
    Overview of Azure ML Studio
    Introduction to Machine Learning
    Key Concepts in Azure ML Studio

    Unit 2: Getting Started with Azure ML Studio
    Setting Up an Azure ML Studio Workspace
    Exploring the Azure ML Studio Interface
    Creating and Managing Experiments

    Unit 3: Data Preparation in Azure ML Studio
    Importing and Loading Data
    Exploring and Cleaning Data
    Feature Engineering in Azure ML Studio

    Unit 4: Building Machine Learning Models
    Selecting and Training Models
    Model Evaluation and Performance Metrics
    Hyperparameter Tuning in Azure ML Studio

    Unit 5: Model Deployment and Integration
    Deploying Models in Azure ML Studio
    Integrating Models into Applications
    Real-time and Batch Scoring

    Unit 6: Automated Machine Learning (AutoML)
    Introduction to AutoML in Azure ML Studio
    Using AutoML for Model Selection
    Automated Hyperparameter Tuning

    Unit 7: Monitoring and Managing Models
    Model Versioning and Lifecycle Management
    Monitoring Model Performance
    Retraining Models in Azure ML Studio

    Unit 8: Case Studies and Practical Applications
    Real-world Use Cases
    Industry Applications of Azure ML Studio
    Best Practices and Tips for Success

    Please Visit Azureml Official Site: || Locus Academy ha s more than a decade experience in delivering the training/staffing on Exploring Azure Machine Learning Studio Techniques for corporates across the globe. The participants for the training/staffing on Exploring Azure Machine Learning Studio Techniques are extremely satisfied and are able to implement the learnings in their on going projects.

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