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Microsoft Fabric Mastery: From Data Lake to AI-Powered Analytics
Transform your organization's data strategy with this intensive two-day, hands-on training in Microsoft Fabric, the unified analytics platform that's revolutionizing how enterprises handle their entire data lifecycle. Whether you're a data engineer, analyst, or business intelligence professional, this course will equip you with the practical skills to leverage Fabric's powerful suite of integrated tools.
This is an online event.
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Sign up today and save $ 200! Only $ 1,300!
(Early bird price is only good until 07/11/2026)
What You'll Master
In just two days, you'll progress from Fabric fundamentals to building sophisticated data solutions that drive real business value. Day 1 establishes your foundation with Fabric's architecture, OneLake storage, and low-code ETL processes using Dataflow Gen2. You'll dive deep into Spark notebooks and PySpark transformations, learning to harness the power of distributed computing for large-scale data processing.
Day 2 elevates your expertise to production-level implementations. You'll orchestrate complex data workflows with pipelines, implement enterprise-grade security and governance, and explore the cutting-edge intersection of AI and analytics by building chatbots powered by your Fabric data. The course culminates with creating stunning Power BI reports that bring your data to life.
Key Learning Outcomes:
- Build scalable data lakehouses and warehouses in OneLake
- Develop automated ETL pipelines with monitoring and scheduling
- Master both low-code and code-first approaches to data transformation
- Implement enterprise security, governance, and CI/CD best practices
- Create AI-powered chatbots using Fabric's Data Agents
- Design optimized semantic models for high-performance reporting
Perfect For: Data engineers, BI developers, analysts, and IT professionals ready to modernize their data stack with Microsoft's most advanced analytics platform.
Format: Interactive workshop with eight hands-on exercises, ensuring you leave with practical, immediately applicable skills.
Note: Ginger is teaching this class online. The class is available (and can be customized) for onsite training at customer locations.
Join us to unlock the full potential of your data with Microsoft Fabric—where every data challenge becomes an opportunity for innovation.
Pricing Options
| Registration Type | Timing | # of People | Regular Price | Discount | Final Price |
|---|---|---|---|---|---|
| Individual Registration | 30+ days before start | 1 person | $1,500 | −$200 | $1,300 per person |
| Individual Registration | 1–29 days before start | 1 person | $1,500 | $0 | $1,500 per person |
| Group Registration (3+) | 30+ days before start | 3+ people | $1,500 per person | −$250 per person | $1,250 per person Contact training@codemag.com to register a group. |
| Group Registration (3+) | 1–29 days before start | 3+ people | $1,500 per person | −$150 per person | $1,350 per person Contact training@codemag.com to register a group. |
Pricing Summary
| Best Value | Group Early Bird — 3+ people, 30+ days out | $1,250 per person |
| Early Bird Savings | Individual Registration — 30+ days out | $1,300 per person |
| Group Standard | Group Registration — 1–29 days out | $1,350 per person |
| Standard Rate | Individual Registration — 1–29 days out | $1,500 per person |
Important Notes
- Early bird discount applies to registrations made 30 or more days before the course start date.
- Group discounts apply when 3 or more people from the same company register together. Email training@codemag.com for group enrollment.
- All prices are per person unless otherwise specified.
- Contact our sales team to ask about teaching this class on-site for your company: Sales@codemag.com.
AGENDA
| Tuesday, August 11, 2026 | ||
| 9:00AM | Introduction to FabricBREAKOUT | Ginger Grant |
| 9:45AM | Break | |
| 10:00AM | Storing and Accessing Data in LakehouseBREAKOUT | |
| 11:00AM | Lab Exercise: Exercise : Creating a lakehouseBREAKOUT | Ginger Grant |
| 11:45AM | Lunch | |
| 12:45PM | Low Code ETL with Data Flow Gen2BREAKOUT | Ginger Grant |
| 1:30PM | Lab Exercise: Exercise: Modifying data with Data Flow Gen 2BREAKOUT | Ginger Grant |
| 2:00PM | Spark and NotebooksBREAKOUT | Ginger Grant |
| 2:45PM | Lab Exercise: Exercise: Introduction to Spark NotebooksBREAKOUT | Ginger Grant |
| 3:15PM | Break | |
| 3:30PM | Data Transformation in PySparkBREAKOUT | Ginger Grant |
| 4:30PM | Lab Exercise: Transforming data with Data WranglerBREAKOUT | Ginger Grant |
| Wednesday, August 12, 2026 | ||
| 9:00AM | Pipelines, part 1BREAKOUT | Ginger Grant |
| 9:45AM | Lab Exercise: Creating a pipeline with the copy commandBREAKOUT | Ginger Grant |
| 10:15AM | Pipelines, part 2BREAKOUT | Ginger Grant |
| 11:00AM | Lab Exercise: Implementing parameters and variable pipelinesBREAKOUT | Ginger Grant |
| 11:45AM | Lunch | |
| 12:45PM | Administration and Source ControlBREAKOUT | |
| 1:30PM | Break | |
| 1:45PM | Data Warehouse and SQL Server DBBREAKOUT | Ginger Grant |
| 2:30PM | Lab Exercise: Implementing data securityBREAKOUT | Ginger Grant |
| 3:00PM | Using Fabric Data to create a Chat BotBREAKOUT | Ginger Grant |
| 3:45PM | Break | |
| 4:00PM | Supporting Power BI with Good Semantic ModelsBREAKOUT | Ginger Grant |
| 4:45PM | Lab Exercise: Create a Power BI Report using the data added to FabricBREAKOUT | Ginger Grant |
| Tuesday, August 11, 2026 |
| Main |
| 9:00AMBREAKOUT Introduction to Fabric Ginger Grant |
| 9:45AM Break |
| 10:00AMBREAKOUT Storing and Accessing Data in Lakehouse |
| 11:00AMBREAKOUT Lab Exercise: Exercise : Creating a lakehouse Ginger Grant |
| 11:45AMLunch |
| 12:45PMBREAKOUT Low Code ETL with Data Flow Gen2 Ginger Grant |
| 1:30PMBREAKOUT Lab Exercise: Exercise: Modifying data with Data Flow Gen 2 Ginger Grant |
| 2:00PMBREAKOUT Spark and Notebooks Ginger Grant |
| 2:45PMBREAKOUT Lab Exercise: Exercise: Introduction to Spark Notebooks Ginger Grant |
| 3:15PM Break |
| 3:30PMBREAKOUT Data Transformation in PySpark Ginger Grant |
| 4:30PMBREAKOUT Lab Exercise: Transforming data with Data Wrangler Ginger Grant |
| Wednesday, August 12, 2026 |
| Main |
| 9:00AMBREAKOUT Pipelines, part 1 Ginger Grant |
| 9:45AMBREAKOUT Lab Exercise: Creating a pipeline with the copy command Ginger Grant |
| 10:15AMBREAKOUT Pipelines, part 2 Ginger Grant |
| 11:00AMBREAKOUT Lab Exercise: Implementing parameters and variable pipelines Ginger Grant |
| 11:45AMLunch |
| 12:45PMBREAKOUT Administration and Source Control |
| 1:30PM Break |
| 1:45PMBREAKOUT Data Warehouse and SQL Server DB Ginger Grant |
| 2:30PMBREAKOUT Lab Exercise: Implementing data security Ginger Grant |
| 3:00PMBREAKOUT Using Fabric Data to create a Chat Bot Ginger Grant |
| 3:45PM Break |
| 4:00PMBREAKOUT Supporting Power BI with Good Semantic Models Ginger Grant |
| 4:45PMBREAKOUT Lab Exercise: Create a Power BI Report using the data added to Fabric Ginger Grant |