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.

 

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