In Introduction to Fabric Data Agents, you’ll see where agents fit in a modern analytics stack, common use cases (exploratory Q&A, quick summaries, guided lookups), and how grounding to governed data helps keep answers relevant and reliable. Then you’ll build one step-by-step. Mitchell walks through creating a data agent, connecting it to the right datasets, and crafting effective AI instructions that shape tone, scope, and guardrails. You’ll test with example queries to iterate on accuracy and user experience, then learn simple ways to publish and share your agent so teammates can start using it.
Overview
COURSE DIFFICULTY
COURSE DURATION
2h 11m
Skills Learned
After completing this online training course, students will be able to:
Transform and analyze data to generate insights
Apply learned concepts to real-world business challenges
Implement solutions following industry best practices
Technical Professionals
None
01. What You Need to Get Started
02. Introduction
03. Conditional Formatting, Data Validation, and Drop Down Lists
04. Logical and Reference Functions
05. Class Wrap Up
SKILLS LEARNED
Skills Learned
After completing this online training course, students will be able to:
Transform and analyze data to generate insights
Apply learned concepts to real-world business challenges
Implement solutions following industry best practices
WHO SHOULD ATTEND
Technical Professionals
PREREQUISITES
None
COURSE OUTLINE
01. What You Need to Get Started
02. Introduction
03. Conditional Formatting, Data Validation, and Drop Down Lists
04. Logical and Reference Functions
05. Class Wrap Up
