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Implement a Data Science and Machine Learning Solution for AI with Microsoft (DP-604T00)
Code:
DP-604T00
Duration:
1 Day
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$795
USD
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Explore the data science process and learn how to train machine learning models to accomplish artificial intelligence in Microsoft Fabric.
This course is available in the following formats:
Duration: 1 Day
Duration: 1 Day
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Delivery Format: Virtual Classroom
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$ 795 |
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Delivery Format: Virtual Classroom
|
$ 795 |
|
|
Delivery Format: Virtual Classroom
|
$ 795 |
|
|
Delivery Format: Virtual Classroom
|
$ 795 |
|
|
Delivery Format: Virtual Classroom
|
$ 795 |
|
|
Delivery Format: Virtual Classroom
|
$ 795 |
|
|
Delivery Format: Virtual Classroom
|
$ 795 |
Students will learn to,
- Get started with data science in Microsoft Fabric
- Explore data for data science with notebooks in Microsoft Fabric
- Preprocess data with Data Wrangler in Microsoft Fabric
- Train and track machine learning models with MLflow in Microsoft Fabric
- Generate batch predictions using a deployed model in Microsoft Fabric
Module 1: Get started with data science in Microsoft Fabric
- Understand the data science process
- Train models with 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 knowledge about different types of data distributions.
- Understand the concept of missing data, and strategies to handle missing data effectively.
- Visualize data using various data visualization techniques and libraries.
Module 3: Preprocess data with Data Wrangler in Microsoft Fabric
- Learn Data Wrangler features, and its role in the data science workflow.
- Perform different types of preprocessing operations in data science.
- Learn how to handle missing values, and imputation strategies.
- Use one-hot encoding and other techniques to convert categorical data into a format suitable for machine learning algorithms.
Module 4: Train and track machine learning models with MLflow in Microsoft Fabric
- Train machine learning models with open-source frameworks
- Train models with notebooks in Microsoft Fabric
- Track model training metrics with MLflow and experiments in Microsoft Fabric
Module 5: Generate batch predictions using a deployed model in Microsoft Fabric
- Save a model in the Microsoft Fabric workspace
- Prepare a dataset for batch predictions
- Apply the model to dataset to generate new predictions
- Save the predictions to a Delta table
Module 1: Get started with data science in Microsoft Fabric
- Understand the data science process
- Train models with 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 knowledge about different types of data distributions.
- Understand the concept of missing data, and strategies to handle missing data effectively.
- Visualize data using various data visualization techniques and libraries.
Module 3: Preprocess data with Data Wrangler in Microsoft Fabric
- Learn Data Wrangler features, and its role in the data science workflow.
- Perform different types of preprocessing operations in data science.
- Learn how to handle missing values, and imputation strategies.
- Use one-hot encoding and other techniques to convert categorical data into a format suitable for machine learning algorithms.
Module 4: Train and track machine learning models with MLflow in Microsoft Fabric
- Train machine learning models with open-source frameworks
- Train models with notebooks in Microsoft Fabric
- Track model training metrics with MLflow and experiments in Microsoft Fabric
Module 5: Generate batch predictions using a deployed model in Microsoft Fabric
- Save a model in the Microsoft Fabric workspace
- Prepare a dataset for batch predictions
- Apply the model to dataset to generate new predictions
- Save the predictions to a Delta table
Students willing to Implement data science and machine learning for AI in Microsoft Fabric