Microsoft Fabric Essentials

Day 1: Foundation and Core Concepts

Agenda:

• Introduction to Microsoft Fabric and its unified analytics platform.
• Setting up and managing Fabric environments and data pipelines.
• Exploring lakehouse architecture and Delta Lake for scalable storage.
• Developing real-time data pipelines with eventstreams and KQL databases.

Learning Objectives:

• Understand Microsoft Fabric’s components and applications.
• Configure environments and execute ETL workflows.
• Build scalable data storage solutions.
• Design real-time data processing pipelines.

Day 2: Advanced Features and Practical Tools

Agenda:

• Designing and querying data warehouses for enterprise needs.
• Leveraging AI tools like Copilot and Azure OpenAI for automation.
• Creating dynamic dashboards and reports using Power BI.
• Implementing security and governance with OneSecurity.

Learning Objectives:

• Build and optimize data warehouses.
• Apply AI tools to enhance analytics and productivity.
• Design impactful data visualizations.
• Ensure compliance and data security across environments.

Day 3: Integration, Deployment, and Customization

Agenda:

• Building a complete analytics solution using Fabric’s tools.
• Monitoring, optimizing, and troubleshooting workflows.
• Customizing and deploying solutions to meet specific needs.
• Reviewing key concepts and planning for future learning.

Learning Objectives:

• Create fully integrated analytics solutions.
• Optimize workflows and resolve challenges effectively.
• Tailor and deploy Fabric solutions for unique use cases.
• Solidify understanding and explore advanced learning paths.

Instructor Kit

(PPTX/PDF of Slides + Optional Instructor Notes)
Comprehensive slide deck with detailed content covering all modules, plus optional instructor notes to enhance teaching effectiveness.

Student Kit / Handout

(with Free Branding)
Professionally designed handouts for students, including all essential course information and customizable branding options for your organization.

Course Agenda / Outline

Detailed day-by-day course agenda and outline, ensuring smooth course delivery and a structured learning experience for students.

Study Guide

A concise guide summarizing key concepts and topics covered in the course, perfect for post-course review and exam preparation.

FAQ

Answers to commonly asked questions about the course content, delivery, and labs to support instructors and students.

Briefing Doc

A high-level document summarizing the course objectives, target audience, and key learning outcomes, ideal for internal use and marketing.

Sales Enablement Kit for IT Training Sales Engineers

(Additional Fee)
Exclusive toolkit designed for IT training sales teams, including pitch decks, objection handling, and ROI documentation to support course sales.

Course AI GPT

(Course Assistant GPT so students can talk to the course materials!)
A cutting-edge AI-driven assistant that allows students to interact with course content, ask questions, and receive instant feedback.

Optional Podcast

(of the entire course or for each individual module)
Engaging audio content covering the entire course or individual modules, perfect for on-the-go learning or reinforcement.

Lab Guide

(Lab Environments are additional and can be found at CourseLabs.io)
Step-by-step lab guide to support hands-on learning, with lab environments available separately at CourseLabs.io.

Lab Files

(If you choose to host your own lab environment)
All necessary files and instructions for setting up and running labs in your own environment, offering flexibility in deployment.

Microsoft Fabric (Latest stable version) – Unified analytics platform.

Power BI – Visualization, reporting, and dashboards with AI-powered Copilot.

Apache Spark – Data engineering/science with optimized runtime.

Azure Data Studio – SQL database management (Nov 2023 release).

SQL Server Management Studio (SSMS) – Database management with Fabric integration.

Delta Lake – Optimized storage layer for Fabric.

FLAML – AutoML for model training and experimentation.

Python and R Libraries – Installed via pip or conda in Spark sessions.

SynapseML – Distributed ML library (e.g., LightGBM regressors).

Visual Studio Code (VS Code) – Development with Synapse extension.

Course Objectives
This Microsoft Fabric training course is designed to empower learners with the skills to:

• Build end-to-end analytics solutions using Fabric's unified tools.
• Design and implement real-time data pipelines and lakehouses.
• Leverage AI-powered tools like Copilot for enhanced productivity.
• Use Power BI to create dynamic reports and visualizations.
• Gain proficiency in integrating Fabric with existing Microsoft 365 and Azure ecosystems.

Learning Objectives
By the end of this course, participants will be able to:

• Develop data engineering workflows with Apache Spark and Delta Lake.
• Automate analytics with Fabric’s advanced features like eventstreams and KQL databases.
• Utilize Fabric’s security and governance features to ensure compliance.
• Conduct in-depth data analysis with hands-on labs and real-world scenarios.

Who This Course is For
This course is ideal for:

• Data Engineers and Scientists looking to streamline workflows.
• Business Analysts aiming to leverage AI-powered insights and dynamic reporting.
• IT Professionals managing enterprise analytics environments.
• Developers building analytics solutions with integrated Microsoft tools.

Course Format

• 50% Lecture, 50% Hands-On Labs: A balanced approach ensures both foundational knowledge and practical application.
• All courseware is fully customizable to meet your training needs, available in:

This flexibility allows your organization to deliver the training that best suits your audience while maintaining high-quality learning outcomes.