Boost Productivity with Microsoft Fabric Copilot and AI

Overview

Discover how Microsoft Fabric and AI revolutionize data analytics through real-world scenarios, enhancing insights, customer interaction analysis, and machine learning model customization.

Syllabus

• Introduction to Microsoft Fabric and AI
Overview of Microsoft Fabric
Introduction to AI and its impact on data analytics
Course objectives and outcomes
• Microsoft Fabric: Key Features and Tools
Data integration and preparation
Real-time analytics capabilities
Collaboration and data governance features
• Enhancing Insights with AI
Introduction to AI-driven data analysis
Data visualization with Microsoft Fabric
Case studies: Real-world insights gained through AI
• Customer Interaction Analysis
Understanding customer data with AI
Analyzing customer interactions and sentiments
Best practices for improving customer engagement
• Machine Learning Model Customization
Basics of machine learning and its applications
Building and customizing models using Microsoft Fabric
Deploying and evaluating ML models in real-world scenarios
• Integrating Copilot for Productivity
Introduction to Microsoft Fabric Copilot
Using Copilot to automate routine tasks and enhance productivity
Practical exercises: Implementing Copilot in data analytics workflows
• Future Trends and Innovations in AI and Data Analytics
Emerging trends in AI technology
The future of productivity with AI and Microsoft Fabric
Opportunities and challenges in data analytics
• Course Conclusion and Next Steps
Recap of key learnings
Resources for further learning
Q&A and feedback session

Subjects

Programming