Radical Technologies
MICROSOFT
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(2,095 ratings)  50,000+ Student

MICROSOFT FABRIC

The Microsoft Fabric Training Syllabus provides a comprehensive learning path covering data engineering, data science, real-time analytics, Power BI integration, and AI workloads on a unified analytics platform. It explains how Microsoft Fabric brings together data movement, processing, visualization, and advanced analytics in one ecosystem. This syllabus is important as it helps professionals build end-to-end analytics solutions with practical, project-based experience. It is ideal for data engineers, data analysts, BI developers, data scientists, cloud professionals, and freshers looking to work on modern Microsoft analytics technologies.

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Radical Technologies
50,000+ English 50 hours Weekdays / Weekends Classroom / Online / Corporate
Online / Classroom

MICROSOFT FABRIC

IT Training Programme

Duration 50 hours
Batch Type Weekdays / Weekends
Mode of Training Classroom / Online / Corporate
Locations Pune, Bangalore, Kochi
Language English
Certification Globally Recognized
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100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up
Get hands-on with the tools used by working professionals
Build real-world projects you can add to your portfolio
Learn industry best practices and coding standards
Practice with real datasets and real-world scenarios
Prepare for certification and technical interviews
Work on collaborative, team-based exercises
Apply performance tuning and optimization techniques
Understand how the technology fits into a larger ecosystem
Complete assignments reviewed by mentors

Programme Overview

14 sections covering the complete curriculum — a single, progressive learning arc.

50 hours
Training Duration
14
Core Modules
99
Total Lessons
4.4
Average Rating
50K+
Students Trained
01

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup
02

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs
03

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies
04

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices
05

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms
06

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a MICROSOFT role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

14 sections  •  99 lessons  •  50 hours

01 Module 1: Introduction to Microsoft Fabric (2 Hours)
• Overview of Microsoft Fabric Platform
• Understanding Unified Data Architecture: OneLake, OneCopy, OneSecurity
• Components of Microsoft Fabric:
o Data Factory
o Data Engineering
o Data Science
o Data Warehouse
o Real-Time Analytics
o Power BI
• Comparison with Azure Synapse and Power BI Ecosystem
• Role of Microsoft Fabric in Modern Data Analytics

Assignment:

  • • Explore Microsoft Fabric portal and identify core components.
02 Module 2: Understanding OneLake and Data Architecture (3 Hours)
• What is OneLake and How It Works
• Connecting Fabric to Azure Data Sources (Blob, SQL, Datalake Gen2)
• Security & Governance in OneLake
• Creating Workspaces and Managing Data Access
• Data Sharing and Collaboration Across Teams

Assignment:

  • • Create a new workspace and connect a OneLake data source.

Project Scenario:

  • • Set up a secure workspace for data engineering and analytics teams.
03 Module 3: Microsoft Fabric Data Engineering (6 Hours)
• Creating and Managing Lakehouses
• Data Ingestion using Dataflows and Pipelines
• Data Transformation using PySpark and Notebooks
• Scheduling and Orchestrating Pipelines
• Working with Delta Tables and Data Versioning

Assignment:

  • • Build a pipeline to ingest CSV and JSON data into a Lakehouse.

Project Scenario:

  • • Design and automate a daily ETL pipeline that transforms raw sales data into curated analytics data.
04 Module 4: Microsoft Fabric Data Factory (4 Hours)
• Overview of Fabric Data Factory
• Pipelines vs Dataflows
• Data Movement using Copy Activity
• Transformations using Mapping Dataflows
• Integration with Azure Data Services and On-Premise Systems

Assignment:

  • • Create and schedule a pipeline to copy data from SQL Server to OneLake.

Project Scenario:

  • • Automate monthly financial data ingestion with Fabric Data Factory and
  • monitoring alerts.
05 Module 5: Microsoft Fabric Data Warehouse (5 Hours)
• Introduction to Fabric Warehouse (SQL Endpoint)
• Creating Fact and Dimension Tables
• Querying Data using T-SQL
• Performance Optimization and Caching
• Integration with Power BI and Reporting Layers

Assignment:

  • • Create a data warehouse with sales and customer dimension tables.

Project Scenario:

  • • Develop an end-to-end data warehouse to support sales forecasting
  • dashboards.
06 Module 6: Microsoft Fabric Data Science (5 Hours)
• Overview of Data Science in Fabric
• Using Notebooks for Data Exploration (Python, R)
• Feature Engineering & Model Training with MLflow
• Integrating Azure Machine Learning in Fabric
• Deploying Models and Using Predictions in Power BI

Assignment:

  • • Build and deploy a simple regression model predicting sales using Fabric
  • Notebook.

Project Scenario:

  • • Train and deploy a customer churn prediction model using Fabric’s ML
  • environment.
07 Module 7: Real-Time Analytics in Microsoft Fabric (4 Hours)
• Introduction to KQL (Kusto Query Language)
• Setting Up Real-Time Data Streams
• Ingesting Streaming Data from IoT / Event Hubs
• Real-Time Dashboards in Power BI
• Monitoring Fabric Streaming Jobs

Assignment:

  • • Create a KQL database and analyze streaming sensor data.

Project Scenario:

  • • Design a live operations dashboard for tracking IoT sensor metrics in real-time.
08 Module 8: Power BI Integration with Microsoft Fabric (6 Hours)
• Connecting Power BI to OneLake and Lakehouse
• Data Modeling and DAX Calculations
• Building Interactive Reports & Dashboards
• Using Power BI Service with Fabric for Collaboration
• Power BI Dataflows and Dataset Refresh Automation

Assignment:

  • • Build a Power BI dashboard connected to Fabric Lakehouse data.

Project Scenario:

  • • Create a Fabric-integrated Power BI dashboard showing sales KPIs with DAX metrics.
09 Module 9: Governance, Security, and Administration (3 Hours)
• Access Control and Row-Level Security
• Data Sensitivity Labels and Encryption
• Monitoring Workspaces and Pipelines
• Backup, Versioning, and Disaster Recovery
• Cost Optimization and Billing in Microsoft Fabric

Assignment:

  • • Configure access permissions for multiple roles in Fabric workspace.
10 Module 10: End-to-End Fabric Project (6–8 Hours)

Project 1: Enterprise Data Analytics Platform (End-to-End)

Objective: Build a unified analytics platform using Fabric.

Steps:

• Ingest sales and customer data via Data Factory.
• Store in Lakehouse and transform using Data Engineering.
• Create a Data Warehouse schema.
• Build dashboards in Power BI integrated with Fabric datasets.

Deliverable: An end-to-end business analytics dashboard with Fabric

integration.

Project 2: Real-Time Analytics Dashboard

Objective: Stream IoT or stock data using Fabric Real-Time Analytics and visualize with Power BI.

Project 3: Predictive Analytics Model

Objective: Build and deploy an ML model using Fabric Data Science and connect results to dashboards.

11 Duration: 40–50 Hours

ModuleHours

Overview & Architecture
5
Data Engineering & Factory
10
Data Warehouse
5
Data Science & Real-Time Analytics
9
Power BI & Governance
7
Projects & Assignments
8–10
12 Tools & Technologies Covered

• Microsoft Fabric Platform

• OneLake / Lakehouse / Data Warehouse

• Power BI (Desktop & Service)

• Data Factory & Pipelines

• KQL (Kusto Query Language)

• Python / PySpark / MLflow

• Azure Synapse / Dataflows Integration

13 Learning Outcomes
After completing this training, learners will be able to:
✅ Build, manage, and automate end-to-end data pipelines in Microsoft Fabric.
✅ Integrate real-time, batch, and AI-driven analytics in a unified workspace.
✅ Design Data Warehouses and Lakehouses with Power BI reporting.
✅ Apply machine learning models within Fabric workflows.
✅ Develop enterprise-grade Fabric projects integrating governance and security.
14 Job-Oriented Roles
• Microsoft Fabric Data Engineer
• Power BI & Fabric Developer
• Data Analyst / BI Specialist
• Data Architect (Fabric & Azure Ecosystem)
• Data Science Engineer

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

99+
Hands-On Lessons
14
Core Modules
50 hours
Training Duration
100%
Practical Training

You don't just learn MICROSOFT FABRIC. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

Requirement Analysis

Guided Implementation

Mentor Review

Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief
Step-by-step implementation
Mentor feedback and review
Documented outcome
Stack Core Concepts Best Practices
PROJECT // 02

Applied Practice Project

Scenario Design

Independent Build

Testing & Validation

Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation
Testing and validation
Documentation
Peer/mentor review
Stack Applied Skills Testing
PROJECT // 03

Capstone Project

Planning

End-to-End Build

Review & Refinement

Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution
Presentation-ready documentation
Mentor sign-off
Portfolio-ready deliverable
Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

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Why Radical Technologies

Live Online Training
  • Highly practical oriented training
  • Installation support on your system
  • 24/7 Email and Phone support
  • 100% Placement Assistance
  • Global Certification Preparation
  • Trainer-Student Interactive Portal
  • Assignments and Projects by Mentors
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Live Classroom Training
  • Weekend / Weekdays / Morning / Evening batches
  • 80:20 Practical and Theory ratio
  • Real-life Case Studies
  • Easy make-up for missed sessions
  • PSI | Kryterion | Redhat Test Centers
  • Lifetime Video Classroom Access (coming soon)
  • Resume Prep and Mock Interviews
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Self-Paced Training
  • Learn 300+ courses at your own time
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  • Course Completion Certificate
  • Practical Labs available
  • Mentor Support available
  • Doubt Clearing Session available
  • 10% Discounted Global Certification
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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Certificate of Completion

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.

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Accenture
Amazon
Avisys Services
Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
DataVision
GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies