AI-Powered Business Intelligence with Power BI

AI-Powered Business Intelligence with Power BI

Introduction

Power Query • Copilot • Python Machine Learning • Predictive Analytics

Business Intelligence has evolved from static reporting to AI-powered decision intelligence. Organisations now require analytics that explain performance drivers, detect anomalies, predict future outcomes, and support confident decision-making.

This course provides an end-to-end, practical approach to building AI-driven BI solutions using Power BI, integrating Power Query Editor for AI-ready data preparation, Copilot for accelerated analytics, and Python-based machine learning (regression and classification) embedded directly within interactive dashboards.

Who Should Attend

This course is designed for:

Business Intelligence and Data Analysts
Power BI Developers and Advanced Users
Business Analysts and Decision Support Teams
Finance, Sales, Operations, and Strategy Professionals
Data Scientists integrating ML outputs into BI
Managers and leaders relying on data-driven insights

Outcome

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

Develop AI-powered BI solutions using Power BI
Prepare high-quality, AI-ready datasets using Power Query Editor
Business Analysts and Decision Support Teams
Finance, Sales, Operations, and Strategy Professionals
Data Scientists integrating ML outputs into BI
Managers and leaders relying on data-driven insights

Select to design your own content and request for a customized quotation

No	Topic	Topic Description
1	AI-Powered Business Intelligence Fundamentals	Evolution from traditional BI to AI-driven BI Descriptive, diagnostic, predictive, and prescriptive analytics Power BI AI ecosystem overview Business value and decision intelligence use cases
2	Power Query Editor for AI-Ready Data	Importance of data quality for AI analytics Data profiling and transformation best practices Handling missing values, outliers, and inconsistencies Feature engineering using Power Query Hands-on: Preparing datasets for predictive analytics
3	Copilot in Power BI for Intelligent Analytics	Copilot capabilities in Power BI AI-assisted report and visual creation Auto-generated insights and explanations Copilot for DAX suggestions and smart narratives Governance, security, and responsible usage
4	AI Visuals, Forecasting & Explainable Insights	Key Influencers and Decomposition Tree Smart Narratives for automated storytelling Forecasting and trend analysis Anomaly detection in business KPIs Hands-on case study
5	Machine Learning Concepts for Business Intelligence	Machine learning fundamentals for BI professionals Supervised learning overview Regression vs classification business use cases Model interpretability and explainability
6	Regression Models Using Python in Power BI	Linear and multiple regression concepts Business applications: revenue, cost, demand forecasting Building regression models using Python scripts Model evaluation (R², MAE, RMSE) Visualizing predictions in Power BI
7	Classification Models Using Python in Power BI	Classification techniques and decision use cases Use cases: churn prediction, risk scoring, fraud detection Building classification models (Logistic Regression, Decision Trees) Model evaluation and performance interpretation Visualising classification results
8	AI-Driven Decision Dashboards, Governance & Future Trends	Integrating descriptive and predictive analytics Designing executive-level AI dashboards Trust, bias, and responsible AI in BI Model refresh, monitoring, and governance Future of AI-powered BI and Copilot evolution Course wrap-up and next steps

Expert

Dr. Mohammed Muayad Abdulrazzaq

Dr. Mohammed Muayad Abdulrazzaq, fondly known as Dr. Obay is an accomplished AI Trainer, Academic Leader, TEDx Speaker, Industry Advisor, and Entrepreneur, internationally recognised for his contributions to Artificial Intelligence education, research, and innovation. Holding a Ph.D. in Artificial Intelligence and bringing over 20 years of experience across the information technology landscape, Dr. Obay’s expertise spans AI, Big Data Science, Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), and Immersive Technologies. As a certified and HRD Corp-accredited trainer, Dr. Obay has trained more than 5,000 professionals, students, and business leaders through highly practical and results- driven programs in Data Science, AI Engineering, Generative AI, and LLMs. His workshops are widely praised for their clarity, relevance, and ability to translate complex AI concepts into real-world business impact. Recently, Dr. Obay was honoured to begin a new chapter as an Industry Advisor at ICMS, contributing to advanced programs and professional certifications in Generative AI, Large Language Models, Google AI & Machine Learning, and Microsoft Azure AI. His advisory role bridges academia and industry by empowering future-ready talent and organisations to thrive in the era of intelligent automation. Recognised for his excellence in AI education and leadership, Dr. Obay serves as an ELITE Fellow at the University of Malaya (UM) — Malaysia’s top-ranked university — and as an Adjunct Associate Professor at Taylor’s University, where he supervises Ph.D. and Master’s students at Taylor’s University and the International Islamic University Malaysia (IIUM). His academic work focuses on applying AI to solve real- world problems while shaping the next generation of innovators. An entrepreneur at heart, he is the Founder of Artificial Intelligence & Coding for All (AIC4ALL) — a global learning platform that equips learners of all ages with essential skills in AI, coding, and data science for IR 4.0 & IR 5.0. He also leads INNOEYETIVE, a digital innovation agency leveraging AI, Big Data, and Immersive Tech to accelerate digital transformation. As a TEDx and international speaker, Dr. Obay has delivered impactful talks and keynotes that demystify AI, inspire innovation, and promote ethical adoption of emerging technologies. His lifelong mission is simple yet powerful — to empower professionals, educators, and leaders worldwide to harness the transformative power of AI for a better, smarter future.