Agentic
Power BI
Stop building dashboards that only tell users what happened.
Build an AI Business Analyst that helps investigate why.
Learn how to combine Power BI, Microsoft Fabric, semantic models, external data and business context to build a more intelligent analytics experience.
Instead of just showing a sales decline, your solution will investigate the business data and context behind it.
Build Nova Retail's AI Business Analyst
Throughout the course, you'll transform a traditional retail Power BI solution into an AI-powered analytics system capable of investigating business performance — not simply reporting it.
The solution will investigate sales, inventory, weather, business events and operational context to help explain why.
A complete step-by-step journey
Go from a traditional Power BI solution to an AI Business Analyst that can investigate business performance and help explain why things changed.
Understand the shift from traditional BI to generative and agentic analytics, and where Power BI and Microsoft Fabric fit.
- Traditional BI vs Generative BI vs Agentic BI
- What an AI agent actually is
- Where Power BI and Microsoft Fabric fit
- Understand the Agentic BI architecture
Build the retail data foundation using Microsoft Fabric and a realistic multi-source business scenario.
- Sales, stores, products, inventory and budget data
- Design the star schema
- Load and transform data in Microsoft Fabric
- Create clean analytical tables
Build the semantic model, DAX measures and executive retail report that form the foundation of the AI experience.
- Relationships and semantic model design
- Sales, margin, budget and inventory measures
- Build the executive Power BI report
- Identify the limitations of dashboard-only analytics
Learn how semantic model quality affects AI answer quality and prepare your model for natural-language analytics.
- AI-friendly naming conventions
- Measures, descriptions and metadata
- Business definitions and terminology
- Hide unnecessary technical complexity
Connect your semantic model to Fabric Data Agent and start asking business questions in plain English.
- Configure the Fabric Data Agent
- Connect your semantic model
- Ask simple and complex business questions
- Improve instructions and answer quality
- Understand where Data Agents struggle
Bring external information into your analytics so AI can understand factors that don't exist inside your transactional systems.
- Understand REST APIs
- Connect to a weather API
- Retrieve and transform JSON data
- Create the weather analytics table
- Analyze weather alongside store performance
Capture information that normally lives outside your BI model and turn it into structured context for AI-driven investigation.
- Design the Business Events layer
- Use meetings and documents as business context
- Extract structured events using AI
- Load business context into Microsoft Fabric
- Connect context back to your analytics
Build the final AI Business Analyst that investigates multiple sources before producing an evidence-based business explanation.
- Move from Data Agent to AI Agent
- Give the agent access to data and context
- Build multi-step investigations
- Generate evidence-based answers
- Complete the Nova Retail AI Business Analyst
Learn how to test, secure and govern your AI analytics solution before putting it in front of real users.
- Hallucinations, grounding and trust
- Security, permissions and RLS
- Build an agent testing framework
- Know when AI should say “I don't know”
- Production-readiness checklist
Everything you need to build along
Built for data professionals ready for what's next
If you already work with Power BI, data or analytics and want to understand how Microsoft Fabric, AI and agents are changing the way we build business intelligence solutions, this course is designed for you.
ABOUT ME
Hi, I'm Atikant Jain!
I'm a Data & AI consultant from Australia, working across Power BI, Microsoft Fabric, analytics, data engineering and AI-driven business solutions.
I created Agentic Power BI to help Power BI professionals understand what comes next — moving beyond dashboards and learning how to build analytics solutions that can interact with data, understand business context and support deeper investigation.
Join Agentic Power BI
FAQ
Got questions?
This course is for Power BI Developers, Data Analysts, BI Consultants, Analytics Engineers, and Microsoft Fabric professionals who want to move beyond traditional dashboards.
If you already understand the basics of Power BI and want to learn how to combine Fabric, AI, external data, and agents to build the next generation of analytics solutions, this course is for you.
No. You don't need deep Fabric experience. The Fabric components required for the project will be explained as we build the solution.
It is 100% recorded and self-paced. You can watch the lessons whenever you want and revisit them anytime.
Please note: This is not a Power BI crash course. You should already have a basic understanding of Power BI, including data modelling, DAX, and report building, before purchasing this course.
No. This course is designed for Power BI and analytics professionals—not AI engineers. Any AI concepts required for the project will be explained practically.
You'll build an end-to-end Agentic Power BI solution for Nova Retail, combining Power BI, Microsoft Fabric, external data, business context, and AI agents to investigate business questions such as “Why did Perth sales fall last week?”
You'll receive access immediately to the course portal and any available material. The full recorded course is planned for release in September 2026, with content/resources added as they become available.
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