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
