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DP-3014: Implementing a Machine Learning Solution with Azure Databricks Course Overview

The DP-3014 course equips professionals with the skills to implement machine learning solutions using Azure Databricks. This course is essential for data scientists, data engineers, and machine learning developers looking to enhance their expertise in scalable analytics and real-time data processing, ensuring organizations leverage the full potential of their data for informed decision-making.


Course Introduction

Price:

USD 750

Duration:

8 Hrs.

  • Introduction to Azure Databricks
    • Overview of Azure Databricks environment
    • Key features and benefits
    • Integrating with Azure services
  • Data Preparation for Machine Learning
    • Data ingestion and integration
    • Data cleansing and transformation
    • Feature engineering techniques
  • Machine Learning Basics
    • Understanding machine learning concepts
    • Types of machine learning algorithms
    • Evaluating model performance
  • Building Machine Learning Models with Databricks
    • Using MLlib and other libraries
    • Model training and tuning
    • Hyperparameter optimization
  • Model Deployment and Management
    • Deploying models as web services
    • Monitoring and versioning models
    • Scaling and optimizing performance
  • Advanced Machine Learning Techniques
    • Introduction to deep learning
    • Working with Spark ML and TensorFlow
    • Implementing custom algorithms
  • Collaboration and Version Control
    • Utilizing notebooks for collaboration
    • Integrating with Git and other version control systems
    • Best practices for team workflows
  • Case Studies and Real-World Applications
    • Industry use cases of machine learning with Databricks
    • Hands-on projects and exercises
    • Building end-to-end ML solutions
  • Conclusion and Next Steps
    • Recap of key takeaways
    • Resources for further learning
    • Certification and career opportunities

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