Training plan
Module 1: Introduction to end-to-end analytics using Microsoft Fabric
- Explore end-to-end analytics with Microsoft Fabric
- Explore data teams and Microsoft Fabric
- Enable and use Microsoft Fabric
Module 2: Get started with data science in Microsoft Fabric
- Understand the data science process
- Explore and process data with Microsoft Fabric
- Train and score models with Microsoft Fabric
- Exercise – Explore data science in Microsoft Fabric
Module 3: Explore data for data science with notebooks in Microsoft Fabric
- Explore notebooks
- Load data for exploration
- Understand data distribution
- Check for missing data in notebooks
- Apply advanced data exploration techniques
- Visualize charts in notebooks
- Exercise: Use notebook for data exploration in Microsoft Fabric
Module 4: Preprocess data with Data Wrangler in Microsoft Fabric
- Understand Data Wrangler
- Perform data exploration
- Handle missing data
- Transform data with operators
- Exercise: Preprocess data with Data Wrangler in Microsoft Fabric
Module 5: Train and track machine learning models with MLflow in Microsoft Fabric
- Understand how to train machine learning models
- Train and track models with MLflow and experiments
- Manage models in Microsoft Fabric
- Exercise – Train and track a model in Microsoft Fabric
Module 6: Generate batch predictions using a deployed model in Microsoft Fabric
- Customize the model’s behavior for batch scoring
- Prepare data before generating predictions
- Generate and save predictions to a Delta table
- Exercise – Generate and save batch predictions
Recommended prerequisite knowledge
- You should be familiar with basic data concepts and terminology.
Credentials and certification
Features
- Preparatory training for obtaining a Microsoft Applied Skills credential.
- Performance is assessed through an interactive remote lab.
- Duration: 120 minutes
- Cost: $0
Assessment’s technical tasks
- Ingest and load data
- Explore data in a notebook
- Prepare and transform data
- Train and evaluate a model
- Track models and experiments
- Generate predictions from a model
Eccentrix Corner article/publication
Fabric Data Science Machine Learning Training
The Fabric Data Science Machine Learning training is designed to empower data professionals with the knowledge and skills needed to implement robust data science solutions in Microsoft Fabric. This course provides an in-depth understanding of Microsoft Fabric’s data science capabilities, including setting up ML models, creating machine learning pipelines, and analyzing data to optimize the performance and reliability of AI solutions.
By mastering data science with Microsoft Fabric, participants can ensure proactive management of their AI environments, enabling efficient detection and resolution of modeling challenges.
Why Take This Training?
Effectively implementing data science is critical to maintaining performance and availability of AI solutions. Microsoft Fabric is a comprehensive solution for tracking, diagnosing, and optimizing data science resources. This training provides the expertise to configure and utilize Microsoft Fabric for advanced insights and operational efficiency.
Participants will learn how to set up automated ML models, customize data science solutions, and leverage analytics to improve the resilience of their AI infrastructure.
Skills Developed During the Training
Setting Up Microsoft Fabric for Data Science
Learn how to deploy Microsoft Fabric to oversee the performance and health of your data science resources.Customizing ML Models and Notifications
Master the creation of ML models for key metrics and events to enable proactive issue management.Utilizing Data Analytics
Explore how to analyze telemetry data and logs for actionable insights using Microsoft Fabric’s powerful tools.Building Custom Dashboards
Design dashboards that consolidate critical information and provide real-time insights into model performance.Integrating with Azure Services
Discover how to integrate Microsoft Fabric with other Azure services like Azure Machine Learning and Azure AI Services.Implementing Best Practices in Data Science
Gain expertise in optimizing configurations to ensure cost-effective and reliable data science.
Interactive, Practice-Oriented Training
Led by certified Microsoft experts, this course combines theoretical knowledge with practical exercises. Participants will work on real-world scenarios to apply Microsoft Fabric features effectively, ensuring readiness for professional challenges.
Who Should Attend?
- Data scientists managing Microsoft Fabric resources
- IT professionals responsible for ML performance monitoring and diagnostics
- Systems architects designing scalable and reliable data science solutions
- Anyone interested in learning advanced data science techniques for Microsoft Fabric
Enhance Your Data Management with Microsoft Fabric Expertise
The Implement Data Science and Machine Learning in Microsoft Fabric (DP-604T00) training equips you with the skills needed to leverage Microsoft Fabric for optimizing your data science operations. Enroll now to master advanced data science techniques and ensure the resilience and efficiency of your Microsoft Fabric environment.
Frequently Asked Questions - Microsoft Fabric Training (FAQ)
It covers deployment, configuration, ML models, dashboards, data analytics, and integration with other Azure services.
Basic understanding of Microsoft Fabric and data science concepts is recommended but not mandatory.
Yes, the course features practical labs and real-world scenarios for applying data science skills.
It enables proactive management of ML models, continuous performance monitoring, and advanced protection of data science resources.
Yes, it integrates seamlessly with Azure Machine Learning, Azure AI Services, and other Azure data science services.
Absolutely, the training covers optimization strategies and best practices for effective data science.
