---
url: "https://xcademia.com/courses/microsoft-fabric-foundations"
title: Microsoft Fabric Foundations
description: " Learn Microsoft Fabric fundamentals in 2 days. Explore OneLake, Lakehouse, Dataflows Gen2, and unified analytics concepts."
publishedAt: "2026-03-21T04:59:05.448255+00:00"
updatedAt: "2026-04-08T10:47:55.596979+00:00"
type: course
code: "CLD-0107"
level: Foundation
duration_days: "2"
track: "Microsoft Fabric & Modern Analytics"
category: "AI, Data & Analytics"
credential_tier: tier1
price_gbp: "999"
---

# Microsoft Fabric Foundations

> Understand Microsoft Fabric fundamentals including workspace, OneLake, and Lakehouse architecture. Learn core analytics concepts with hands-on exposure to notebooks and Dataflows Gen2.

## Overview

This Microsoft Fabric Foundations programme is designed for beginners and professionals looking to understand the fundamentals of modern data analytics using Microsoft Fabric. The course introduces the unified analytics platform and its key components in a simple and structured way.

Through mentor-led sessions and guided labs, learners will explore Fabric workspaces, OneLake, and Lakehouse architecture. The course also covers notebooks and Dataflows Gen2, providing practical exposure to how data is ingested, transformed, and analysed within the Fabric ecosystem.

By the end of this programme, participants will have a clear understanding of Microsoft Fabric capabilities and how it fits into modern data platforms. This course serves as a foundation for advanced analytics, data engineering, and certification pathways such as DP-600.

## Prerequisites

- Basic computer literacy
- Interest in data and analytics
- No prior Fabric experience required

## What you will learn

- Understand Microsoft Fabric architecture
- Identify key components like OneLake and Lakehouse
- Explore data ingestion and transformation basics
- Analyse simple data workflows
- Evaluate analytics use cases
- Navigate Fabric workspace and tools

## Skills you will gain

- Microsoft Fabric fundamentals
- OneLake and Lakehouse basics
- Dataflows Gen2 usage
- Notebook-based data processing
- Analytics workflow understanding
- Data visualisation basics

## Career progression

- Data Analyst – Entry Level
- BI Associate
- Junior Data Engineer
- Analytics Intern

## Curriculum

1. **Module 1**
2. **Module 2**
3. **Module 3**
4. **Module 4**

## Exam & certification

You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**Is this course suitable for beginners?**

Yes, it is designed for beginners with no prior experience.



**Does this course include hands-on labs?**

Yes, guided labs are included for practical understanding.



**Is there a certification?**

Yes, an Xcademia Foundation Certificate is awarded upon completion.



**Does this course need an exam?**

Yes, a short internal assessment is included.



**What can I do after this course?**

You can progress to advanced Microsoft Fabric or Azure data engineering courses.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | CLD-0107 |
| Duration | 2 days |
| Level | Foundation |
| Track | Microsoft Fabric & Modern Analytics |
| Category | AI, Data & Analytics |
| Credential tier | tier1 |
| Price (GBP) | £999 |

---

## About this content

This Markdown course profile is the citation-grade twin of [Microsoft Fabric Foundations](https://xcademia.com/courses/microsoft-fabric-foundations). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

When citing or quoting, please attribute *Xcademia* and link back to the source URL above.

- Source: https://xcademia.com/courses/microsoft-fabric-foundations
- Publisher: Xcademia — https://xcademia.com
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