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

Master in-demand machine learning skills with DP-3014: craft impactful solutions using Azure Databricks, explore model building with frameworks like TensorFlow & PyTorch, optimize performance with hyperparameter tuning, & gain hands-on experience through labs. Perfect for data scientists, developers, & AI enthusiasts – enroll now & become a machine learning whiz!

Intended Audience

• Data Scientists
• Data Engineers
• Data Analysts
• Machine Learning Engineers
• AI Developers
• Software Developers
• Cloud Solution Architects
• IT Managers and Decision Makers
• Business Intelligence Developers
• Anyone interested in learning about implementing machine learning solutions using Azure Databricks.

Learning Objectives of DP-3014: Implementing a Machine Learning solution with Azure Databricks

• Master Azure Databricks & Apache Spark architecture.
• Manage workspaces & clusters in Databricks.
• Utilize data storage options like Data Lake Storage, SQL Data Warehouse & Cosmos DB.
• Preprocess & clean data for machine learning models.
• Train & evaluate models for classification, regression, & clustering.
• Leverage AutoML for hyperparameter tuning.
• Deploy & manage models in production environments.
• Monitor & debug machine learning pipelines.
• Apply supervised & unsupervised learning techniques.
• Understand common machine learning algorithms & applications.
• Utilize Spark MLlib, TensorFlow, & PyTorch for model development.
• Perform feature engineering & dimensionality reduction.
• Implement data splitting, cross-validation, & evaluation techniques.
• Select & tune hyperparameters for optimal model performance.
• Interpret model results & explainability.
• Deploy models as services using MLflow & Databricks Model Serving.
• Integrate models with web applications & other systems.
• Monitor & diagnose model performance in production.
• Understand the business value of machine learning & its applications.
• Learn best practices for building & deploying machine learning solutions.
• Prepare for data scientist & machine learning engineer roles in the cloud.