About this training
A 2-day intermediate program for BI analysts, data analysts, and business analysts who want to use Power BI's Copilot, Q&A, Smart Narrative, Key Influencers, Anomaly Detection, Forecasting, and Azure AI integration features for enterprise reporting. Includes Microsoft Fabric AI and KVKK compliance.
This training is designed for: BI analyst, data analyst, business analyst roles Finance manager and financial analysts Marketing analyst and growth teams Operations specialist and supply chain analyst Teams who want to enrich existing Power BI reports with AI Organizations planning migration to Microsoft Fabric
Why this course matters: The only comprehensive Turkish program addressing Power BI's 2024-2026 AI features in an integrated way. Copilot + Q&A + AI Insights + Forecasting + Anomaly Detection + Text/Vision AI integration. Addresses Microsoft Fabric AI ecosystem from a modern data stack perspective. Teaches custom AI model integration with Azure OpenAI and AutoML. KVKK-compliant deployment, RLS, sensitivity labels discipline. Produces concrete output with end-to-end AI dashboard in the capstone.
Learning outcomes by the end of the programme: Generate automatic reports with Power BI Copilot. Optimize Q&A natural language query for Turkish. Professionally use Key Influencers, Decomposition Tree, Smart Narrative AI Insights visuals. Build time-series AI dashboards with Anomaly Detection and Forecasting. Integrate Azure Cognitive Services. Integrate custom AI models with Azure OpenAI and AutoML. Use the Microsoft Fabric AI ecosystem. Perform KVKK-compliant Power BI deployment. Conduct capacity sizing and AI cost optimization.
Prerequisites and recommended background: Active Power BI Desktop usage experience (intermediate) Basic DAX knowledge Power BI Pro license (Premium / Fabric recommended for Copilot) Excel and data analysis experience Basic Azure or cloud knowledge (advantage) Accessible test dataset during training
- Turkey's only comprehensive program that integrally addresses Power BI Copilot, Q&A, AI Insights, Forecasting, Anomaly Detection features
- Modern data stack integration with Microsoft Fabric AI (OneLake, Data Wrangler, AI Skills) ecosystem
- Custom AI model integration with Azure OpenAI + Azure ML + AutoML
- KVKK-compliant deployment: RLS, sensitivity labels, Microsoft Purview
- F-SKU Fabric capacity management and AI feature cost optimization
- Turkish Q&A optimization and linguistic schema customization
Key Takeaways
- Generate automatic reports with Power BI Copilot.
- Optimize Q&A natural language query for Turkish.
- Professionally use Key Influencers, Decomposition Tree, Smart Narrative AI Insights visuals.
- Build time-series AI dashboards with Anomaly Detection and Forecasting.
- Integrate Azure Cognitive Services.
- Integrate custom AI models with Azure OpenAI and AutoML.
- Use the Microsoft Fabric AI ecosystem.
- Perform KVKK-compliant Power BI deployment.
- Conduct capacity sizing and AI cost optimization.
Power BI + AI Insights Training (Copilot, Q&A, AI Insights)
A 2-day intermediate program for BI analysts, data analysts, and business analysts who want to use Power BI's Copilot, Q&A, Smart Narrative, Key Influencers, Anomaly Detection, Forecasting, and Azure AI integration features for enterprise reporting. Includes Microsoft Fabric AI and KVKK compliance.
About This Course
This training is designed for BI analysts, data analysts, business analysts, finance managers, marketing analysts, and operations specialists who want to use Power BI's AI features within an enterprise reporting discipline. Power BI matured throughout 2024-2026 with AI features like Copilot, Q&A natural language interface, AI Insights (Key Influencers, Decomposition Tree, Smart Narrative), Anomaly Detection, Forecasting, Text Analytics, Vision AI, and Azure OpenAI / Azure ML integration.
The disciplinary backbone of the program is automatic report generation and DAX writing assistance with Power BI Copilot, Q&A natural language query and Turkish optimization, production-grade usage of AI Insights visuals (Key Influencers driver analysis, Decomposition Tree root cause, Smart Narrative dynamic text), time-series AI (Anomaly Detection and Forecasting), Azure Cognitive Services integration (sentiment analysis, key phrase extraction, image tagging, OCR), Azure OpenAI and Azure ML custom model deployment, Microsoft Fabric AI and OneLake/Data Wrangler/AI Skills ecosystem, KVKK-compliant Power BI deployment (RLS, sensitivity labels, Microsoft Purview), and capacity management + cost optimization discipline.
The training consists of 2 days, 12 modules, and over 60 hands-on lessons. In the capstone, each participant designs an end-to-end AI-powered dashboard for their company.
Training Methodology
Turkey's only comprehensive program that integrally addresses Power BI Copilot, Q&A, AI Insights, Forecasting, Anomaly Detection features
Modern data stack integration with Microsoft Fabric AI (OneLake, Data Wrangler, AI Skills) ecosystem
Custom AI model integration with Azure OpenAI + Azure ML + AutoML
KVKK-compliant deployment: RLS, sensitivity labels, Microsoft Purview
F-SKU Fabric capacity management and AI feature cost optimization
Turkish Q&A optimization and linguistic schema customization
Who Is This For?
Why This Course?
The only comprehensive Turkish program addressing Power BI's 2024-2026 AI features in an integrated way.
Copilot + Q&A + AI Insights + Forecasting + Anomaly Detection + Text/Vision AI integration.
Addresses Microsoft Fabric AI ecosystem from a modern data stack perspective.
Teaches custom AI model integration with Azure OpenAI and AutoML.
KVKK-compliant deployment, RLS, sensitivity labels discipline.
Produces concrete output with end-to-end AI dashboard in the capstone.
Learning Outcomes
Requirements
Course Curriculum
55 LessonsInstructor
Şükrü Yusuf KAYA
AI Architect | Enterprise AI & LLM Training | Stanford University | Software & Technology Consultant
Şükrü Yusuf KAYA is an internationally experienced AI Consultant and Technology Strategist leading the integration of artificial intelligence technologies into the global business landscape. With operations spanning 6 different countries, he bridges the gap between the theoretical boundaries of technology and practical business needs, overseeing end-to-end AI projects in data-critical sectors such as banking, e-commerce, retail, and logistics. Deepening his technical expertise particularly in Generative AI and Large Language Models (LLMs), KAYA ensures that organizations build architectures that shape the future rather than relying on short-term solutions. His visionary approach to transforming complex algorithms and advanced systems into tangible business value aligned with corporate growth targets has positioned him as a sought-after solution partner in the industry. Distinguished by his role as an instructor alongside his consulting and project management career, Şükrü Yusuf KAYA is driven by the motto of "Making AI accessible and applicable for everyone." Through comprehensive training programs designed for a wide spectrum of professionals—from technical teams to C-level executives—he prioritizes increasing organizational AI literacy and establishing a sustainable culture of technological transformation.
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