Microsoft Fabric Copilot Training is an advanced program designed to help data and technology professionals combine Microsoft Fabric, artificial intelligence, generative AI, and large language models (LLMs) to develop intelligent, data-driven solutions. The course focuses on practical applications of AI-assisted analytics and explores how Copilot capabilities can enhance productivity across modern data workflows.

 

Duration 5 Days – 40 hrs.

 

Overview

This advanced training program is designed for professionals responsible for building and maintaining centralized dashboards, supporting reporting processes, and managing manual data workflows. It focuses on transitioning participants into a modern, end-to-end analytics architecture using Microsoft Fabric, combined with Advanced Copilot and Large Language Model (LLM) capabilities.

 

Participants will learn how to unify data engineering, data analytics, and business intelligence within a single platform—eliminating manual processes and enabling scalable, automated, and intelligent analytics solutions.

 

The course emphasizes:

• Building integrated data pipelines
• Implementing Lakehouse and Warehouse architectures
• Automating reporting workflows
• Leveraging Copilot and LLMs for data exploration, insights generation, and natural language analytics

 

By the end of the training, participants will be capable of delivering enterprise-grade analytics solutions powered by AI, significantly improving efficiency and decision-making across business functions.

 

Learning Objectives

 Understand and implement Microsoft Fabric architecture

• Build end-to-end data pipelines (ingestion → transformation → visualization)
• Transition from manual data handling to automated workflows
• Design and manage Lakehouse and Data Warehouse solutions
• Optimize data models for scalability and performance
• Integrate Power BI within Fabric ecosystem
• Apply data governance, security, and access control
• Utilize Copilot and LLM capabilities for:

• Natural language data queries
• Automated insight generation
• AI-assisted data modeling and reporting

• Enable advanced analytics use cases using unified data platform

 

Target Audience

 Power BI Developers / Analysts

• Data Analysts and Reporting Specialists
• Data Engineers (Aspiring or Junior)
• Business Intelligence Professionals
• IT/Data Teams managing reporting platforms
• Professionals handling centralized dashboards and manual reporting processes

 

Prerequisites 

• Basic to Intermediate knowledge of:
• Power BI or similar BI tools
• Data concepts (tables, relationships, ETL basics)
• Familiarity with Excel, SQL, or data handling processes
• Experience in reporting/dashboard development is recommended
• Basic understanding of cloud platforms (Azure is a plus but not required)

 

Course Outline

 Day 1: Introduction to Microsoft Fabric & Modern Data Architecture

 Module 1: Overview of Microsoft Fabric 

• What is Microsoft Fabric
• Unified analytics platform concept
• Components: Data Factory, Lakehouse, Warehouse, Power BI

 

 Module 2: Modern Data Architecture 

• Data pipeline lifecycle
• Lakehouse vs Data Warehouse
• Eliminating data silos

 

Module 3: Fabric Workspace & Environment Setup 

• Navigating Fabric environment
• Creating workspaces and resources
• Connecting data sources

 

Day 2: Data Engineering & Pipeline Development 

Module 4: Data Ingestion & Integration 

• Using Data Factory in Fabric
• Connecting to multiple data sources (Excel, APIs, databases)
• Handling manual data files efficiently

 

Module 5: Data Transformation 

• Dataflows Gen2
• Cleaning and shaping data
• Automating repetitive data processes

 

Module 6: Pipeline Automation 

• Building automated pipelines
• Scheduling and orchestration
• Monitoring and error handling

 

Day 3 (8 Hours): Lakehouse, Warehouse & Data Modeling 

Module 7: Lakehouse Implementation 

• Creating and managing Lakehouses
• Working with Delta tables
• File-based vs structured storage

 

Module 8: Data Warehouse in Fabric 

• Designing enterprise data warehouse
• SQL-based analytics
• Performance considerations

 

Module 9: Advanced Data Modeling 

• Data relationships and optimization
• Star schema implementation
• Performance tuning strategies

 

Day 4 (8 Hours): Power BI Integration, Governance & Optimization 

Module 10: Power BI in Fabric 

• Building reports directly from Fabric
• Semantic models and datasets
• Real-time analytics

 

Module 11: Data Governance & Security 

• Access control and permissions
• Data lineage and auditing
• Compliance best practices

 

Module 12: Performance & Scalability 

• Optimizing queries and reports
• Managing large datasets
• Enterprise deployment strategies

 

Day 5 (8 Hours): Advanced Copilot (LLM) & AI-Driven Analytics 

Module 13: Introduction to Copilot & LLM in Fabric 

• Overview of AI in Microsoft Fabric
• Understanding Large Language Models (LLMs)
• Copilot capabilities across Fabric

 

Module 14: Natural Language Analytics 

• Querying data using natural language
• Generating insights automatically
• AI-assisted dashboard creation

 

Module 15: Advanced AI Use Cases 

• Automating reporting narratives
• AI-driven anomaly detection
• Smart recommendations for business insights

 

Module 16: Capstone Project (Hands-On) 

• Build an end-to-end solution:
  • Data ingestion → transformation → Lakehouse → Power BI
  • Integration of Copilot for insights
• Presentation and feedback