Learn how to combine Power BI, Microsoft Fabric, semantic models, APIs, business context and AI agents to build analytics solutions that go beyond dashboards and help investigate why performance changed.
Traditional BI is excellent for monitoring known KPIs and trends. Agentic Analytics adds another layer β allowing users to ask questions, investigate anomalies and bring trusted data together with real-world business context.
Monitor KPIs, trends, variances and answer known business questions.
Ask questions, investigate anomalies and explore why business performance changed.
Power BI + semantic models + Microsoft Fabric + AI agents working together.
Follow one connected learning path from the analytics foundation through to a working AI Business Analyst.
Meet Nova Retail and see the AI Business Analyst you will build throughout the course. Understand the Agentic BI architecture, where Fabric, Power BI, Copilot Studio and Microsoft Foundry fit, and prepare your environment before starting the project.
Understand the shift from traditional BI to Generative BI and Agentic BI. Learn what makes an AI agent different from a chatbot and how agents can investigate business problems instead of simply answering questions.
Explore the Nova Retail business problem and source data, design the star schema and build the Bronze, Silver and Gold data layers in Microsoft Fabric. Create trusted analytics tables and introduce data quality checks before building Power BI.
Build the Nova Retail Power BI semantic model, relationships and core DAX measures. Analyse sales, margins, budgets and inventory, then bring everything together into the executive dashboard that forms the traditional BI baseline for the project.
Learn why AI changes the way semantic models should be designed. Improve tables, columns, measures, descriptions, relationships, business definitions, terminology and instructions so AI can interpret your Power BI model more accurately and reliably.
Configure Microsoft Fabric Data Agent, connect your Power BI semantic model and start asking business questions in natural language. Test simple and complex questions, improve agent instructions and understand where conversational analytics succeeds β and where it still struggles.
Learn how REST APIs and JSON data can extend your analytics beyond internal systems. Bring weather data into Microsoft Fabric, model it alongside stores and dates, and investigate how external conditions may influence business performance.
Go beyond structured business data by capturing information hidden inside meetings, documents and operational events. Use AI to extract meaningful business events, load that context into Fabric and connect it to your analytical environment.
Move from a Data Agent to a true AI Business Analyst. Give your agent goals, instructions, guardrails, trusted data, business context and tools. Build multi-step investigations that reason across Power BI data, external signals and business events, generate evidence-based conclusions and trigger business actions.
Learn how to evaluate and prepare an AI-powered analytics solution for real business users. Cover hallucinations, grounding, security, permissions, RLS, agent evaluation, answer quality, monitoring, failure handling, cost, performance and the final production architecture.
You won't just finish with course knowledge. You'll have practical resources, a completed project and proof of completion.
End-to-end practical training covering Power BI, Fabric and Agentic Analytics.
Build the Nova Retail Agentic BI solution and use it to demonstrate your modern analytics skills in your portfolio or interviews.
Receive a certificate after completing the course that you can add to your LinkedIn profile and professional portfolio.
Get the Nova Retail dataset, Power BI files and supporting project resources.
Reusable prompts, instructions, test questions and agent patterns.
Revisit the course anytime and receive future updates included with your access.
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 β moving beyond dashboards and learning how to build analytics solutions that can interact with data, understand business context and support deeper investigation.

Reserve your place now and get lifetime access to the course.
One-time payment
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.
Yes β you'll receive a Certificate of Completion once you finish the course.
Yes. If it's not right for you, request a full refund within 7 days of enrolling, as long as you've watched under 1 hour of the course. No hassle.
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 professionalsβnot 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 βWhy did Perth sales fall last week?β
You'll receive access immediately to the course portal and any available material. The full recorded course is planned for release in October 2026, with content/resources added as they become available.
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