Implement a Data Science and Machine Learning Solution for AI with Microsoft Fabric

Course Description:

The DP-604T00: Implement a Data Science and Machine Learning Solution for AI with Microsoft Fabric course provides participants with the knowledge and skills required to build, deploy, and manage machine learning (ML) and AI solutions using Microsoft Fabric. The course emphasizes integrating machine learning workflows into the unified analytics ecosystem of Microsoft Fabric, enabling scalable, end-to-end data science solutions.
Through interactive sessions and hands-on labs, learners will gain proficiency in:
• Developing and training machine learning models.
• Deploying and operationalizing ML pipelines.
• Utilizing Fabric’s AI capabilities for predictive analytics and automation.
• Collaborating with other services like Azure Machine Learning, Synapse Analytics, and Power BI for integrated solutions.
By the end of the course, participants will be able to:
• Understand the machine learning lifecycle and its implementation in Microsoft Fabric.
• Use Microsoft Fabric tools for data preparation, feature engineering, and model training.
• Deploy machine learning models and integrate them into real-world applications.
• Monitor and optimize the performance of AI and ML solutions.
• Leverage Fabric’s AI capabilities to automate and enhance decision-making processes.

Prerequisites:

To get the most out of this course, participants should have:
• Basic knowledge of machine learning concepts and principles.
• Familiarity with Python programming and common ML frameworks (e.g., TensorFlow, PyTorch).
• Experience with data analysis and visualization tools like Power BI.
• Understanding of Microsoft Azure services, particularly Azure Machine Learning and Synapse Analytics (optional but recommended).

Audience Profile:

This course is ideal for:
1. Data Scientists: Professionals seeking to build and operationalize machine learning models using Microsoft Fabric.
2. Machine Learning Engineers: Individuals designing scalable AI pipelines and deploying solutions in production environments.
3. Data Engineers: Professionals supporting data science teams with data preparation and feature engineering.
4. AI Specialists: Those exploring advanced AI capabilities and integrations within Microsoft Fabric.
5. Solution Architects: IT architects designing end-to-end AI and ML solutions.
6. Aspiring Data Professionals: Students and learners looking to enhance their skills in AI, machine learning, and data science.

Course Duration: 8 hours