DP - 604T00 : Implement a data science and machine learning solution for AI in Microsoft Fabric
This course explores the data science process and teaches you how to train machine learning models within Microsoft Fabric. You'll learn to apply AI techniques to solve complex problems and implement effective data science solutions.
Instructor
DP - 604T00 : Implement a data science and machine learning solution for AI in Microsoft Fabric
Curriculum
Learn to implement data science & machine learning solutions for AI in Microsoft Fabric with DP-604T00. Gain hands-on skills for real-world AI applications.
DP - 604T00 : Implement a data science and machine learning solution for AI in Microsoft Fabric
The DP - 604T00 : Implement a data science and machine learning solution for AI in Microsoft Fabric course is designed to empower professionals with advanced AI, data science, and ML skills using Microsoft Fabric. Participants will learn to process and analyze data, train predictive models, and deploy solutions to solve real-world problems. The course covers the implementation of data science and machine learning workflows in Microsoft Fabric, with a focus on AI model training and deployment. Learners will explore and clean data, train models, track progress, and deploy predictions. Ideal for professionals seeking hands-on experience to link data science concepts with building powerful analytics solutions in Microsoft Fabric.
Audience Profile:
The primary audience for this course includes:
Data Scientists
Data Analysts
Data Engineers
Microsoft Fabric users
Prerequisites:
Familiarity with basic data concepts and terminology.
Course Outline:
Module 1: Get Started with Data Science in Microsoft Fabric
Understand the data science process.
Train models using notebooks in Microsoft Fabric.
Track model training metrics with MLflow and experiments.
Module 2: Explore Data for Data Science with Notebooks in Microsoft Fabric
Load data and perform initial data exploration.
Gain insights into different types of data distributions.
Understand missing data and strategies to handle it effectively.
Visualize data using various techniques and libraries.
Module 3: Preprocess Data with Data Wrangler in Microsoft Fabric
Learn the features of Data Wrangler and its role in the data science workflow.
Perform preprocessing operations essential for data science.
Handle missing values and apply imputation strategies.
Use one-hot encoding and other techniques to prepare categorical data for machine learning.
Module 4: Train and Track Machine Learning Models with MLflow in Microsoft Fabric
Train machine learning models with open-source frameworks.
Use notebooks in Microsoft Fabric to train models.
Track training metrics using MLflow and experiments in Microsoft Fabric.
Module 5: Generate Batch Predictions Using a Deployed Model in Microsoft Fabric
Save a trained model in the Microsoft Fabric workspace.
Prepare datasets for batch predictions.
Apply the model to generate new predictions and save them to a Delta table.
The DP - 604T00 : Implement a data science and machine learning solution for AI in Microsoft Fabric course is designed to empower professionals with advanced AI, data science, and ML skills using Microsoft Fabric. Participants will learn to process and analyze data, train predictive models, and deploy solutions to solve real-world problems. The course covers the implementation of data science and machine learning workflows in Microsoft Fabric, with a focus on AI model training and deployment. Learners will explore and clean data, train models, track progress, and deploy predictions. Ideal for professionals seeking hands-on experience to link data science concepts with building powerful analytics solutions in Microsoft Fabric.
Audience Profile:
The primary audience for this course includes:
Data Scientists
Data Analysts
Data Engineers
Microsoft Fabric users
Prerequisites:
Familiarity with basic data concepts and terminology.
Course Outline:
Module 1: Get Started with Data Science in Microsoft Fabric
Understand the data science process.
Train models using notebooks in Microsoft Fabric.
Track model training metrics with MLflow and experiments.
Module 2: Explore Data for Data Science with Notebooks in Microsoft Fabric
Load data and perform initial data exploration.
Gain insights into different types of data distributions.
Understand missing data and strategies to handle it effectively.
Visualize data using various techniques and libraries.
Module 3: Preprocess Data with Data Wrangler in Microsoft Fabric
Learn the features of Data Wrangler and its role in the data science workflow.
Perform preprocessing operations essential for data science.
Handle missing values and apply imputation strategies.
Use one-hot encoding and other techniques to prepare categorical data for machine learning.
Module 4: Train and Track Machine Learning Models with MLflow in Microsoft Fabric
Train machine learning models with open-source frameworks.
Use notebooks in Microsoft Fabric to train models.
Track training metrics using MLflow and experiments in Microsoft Fabric.
Module 5: Generate Batch Predictions Using a Deployed Model in Microsoft Fabric
Save a trained model in the Microsoft Fabric workspace.
Prepare datasets for batch predictions.
Apply the model to generate new predictions and save them to a Delta table.
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Live Online Training (Duration : 8 Hours)
