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
