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⇱ Power BI Connectivity, AI Integration & Reporting | Coursera

Power BI Connectivity, AI Integration & Reporting

Power BI Connectivity, AI Integration & Reporting

This course is part of Power BI Developer Specialization

Instructor: Edureka

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Gain insight into a topic and learn the fundamentals.
Advanced level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Advanced level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Describe how Power BI integrates with Microsoft Fabric to support cloud-connected analytics.

  • Apply Python scripting and AI-driven capabilities to model data and generate insights.

  • Assess enterprise reporting requirements using paginated reports and RLS/OLS.

  • Design scalable reporting architectures with AI features and Power BI Report Server.

Details to know

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Recently updated!

December 2025

Assessments

14 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the Power BI Developer Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

This course elevates Power BI from a reporting tool into a true enterprise analytics engine. You’ll learn how to harness Python, Generative AI, Microsoft Fabric, and hybrid data architectures to design automated, intelligent, and scalable BI experiences that meet modern business demands.

You’ll begin by unlocking the full potential of Python inside Power BI. Instead of relying solely on built-in transformations, you’ll integrate Python for advanced cleaning, modeling, and visualizations, giving you the flexibility to handle complex data scenarios and create richer analytical outputs. Next, you’ll explore how AI reshapes business intelligence. Through Power BI’s AI visuals, Copilot, natural language insights, anomaly detection, and decomposition models, you’ll discover how AI enhances pattern recognition and accelerates insight generation. You’ll also learn how to apply responsible AI principles and prepare data models for reliable, ethical use across the organization. You’ll work across the Microsoft Fabric ecosystem to build hybrid architectures using OneLake, Dataflows, and gateways, and then apply these capabilities in Power BI Report Server to create paginated reports, enforce RLS, and deliver secure, compliant on-premise reporting. By the end of this course, you will be able to: - Identify how Python enhances data preparation, modeling, and visualization inside Power BI. - Analyze AI-driven visuals, Copilot interactions, natural language insights, and predictive outputs to uncover deeper patterns. - Integrate Power BI with cloud, on-prem, and hybrid data systems through Fabric, Dataflows, and enterprise gateways. - Implement secure, governed reporting environments using Power BI Report Server and enterprise security practices. - Design end-to-end, scalable BI solutions that combine analytics, AI, data engineering, and compliant deployment workflows. Designed for BI developers, Power BI specialists, data engineers, Generative AI developers, analytics architects, and enterprise reporting professionals, this course equips you with the technical depth and architectural mindset required to build the next generation of AI-enhanced, enterprise-ready Power BI solutions. Step in, elevate your expertise, and learn how to engineer BI systems that are intelligent, scalable, and ready for the future of AI analytics.

Unlock how Python extends Power BI beyond traditional capabilities. This module guides you through setting up Python, integrating it into your workflows, and using it for advanced data preparation, transformation, and visualization enabling richer analytics and greater flexibility in building insights-driven reports.

What's included

9 videos7 readings4 assignments

9 videos•Total 41 minutes
  • Specialization Introduction•7 minutes
  • Course Introduction•6 minutes
  • Overview of Python Language in BI•4 minutes
  • Setting Up Python Environment in Power BI•3 minutes
  • Executing Python Scripts for Data Ingestion•4 minutes
  • Applying Python-Based Data Cleaning Techniques•5 minutes
  • Elevating Data Transformation Through Python•4 minutes
  • Creating Data Visualizations with Python•5 minutes
  • Predictive Modeling with Python: Simple Linear Regression•4 minutes
7 readings•Total 70 minutes
  • Welcome to Power BI Connectivity, AI Integration & Reporting•10 minutes
  • Python Installation and System Path Configuration•10 minutes
  • Python Script Execution Guidelines•10 minutes
  • Best Practices for Using Python Scripts in Power BI•10 minutes
  • Risk Management and Compliance for Python Execution•10 minutes
  • R Integration in Power BI: Enhancing Statistical and Visual Capabilities•10 minutes
  • Module Summary: Supercharge Analytics with Python in Power BI•10 minutes
4 assignments•Total 33 minutes
  • Knowledge Check: Supercharge Analytics with Python in Power BI•15 minutes
  • Knowledge Check: Python Setup and Integration in Power BI•6 minutes
  • Knowledge Check: Python-Powered Data Preparation•6 minutes
  • Knowledge Check: Python Visuals and Predictive Modeling•6 minutes

Step into the future of analytics with AI-enhanced Power BI. This module shows how AI visuals, Copilot, and Generative AI amplify insight discovery, automate complex analysis, and turn raw data into compelling intelligence. Learn to build smarter, faster, and more intuitive BI experiences powered by AI.

What's included

14 videos6 readings4 assignments

14 videos•Total 68 minutes
  • AI Fundamentals for Business Intelligence•5 minutes
  • Artificial Intelligence in Power BI•5 minutes
  • Exploring the Benefits of AI-Enhanced Analytics•5 minutes
  • Overview of AI Visuals•4 minutes
  • Exploring Patterns Using Key Influencers Visual - I•6 minutes
  • Exploring Patterns Using Key Influencers Visual - II•5 minutes
  • Creating Automated Storytelling with Smart Narratives•4 minutes
  • Root Cause Analysis Using the Decomposition Tree Visual•5 minutes
  • Detecting Outliers and Anomalies•6 minutes
  • Introduction to Generative AI•4 minutes
  • Copilot: Prep Your Data for AI•6 minutes
  • Accelerating Power BI Reporting with Copilot•3 minutes
  • Power BI Model Context Protocol (MCP) servers•6 minutes
  • Ethical and Responsible Use of AI•5 minutes
6 readings•Total 60 minutes
  • Intelligent Analytics with Power BI: The Impact of AI Integration•10 minutes
  • AI and Natural Language Insights in Power BI•10 minutes
  • Data Readiness and Model Design for AI Visuals•10 minutes
  • Prompt Engineering for Power BI Copilot•10 minutes
  • Agentic AI in Power BI: A New Era of BI•10 minutes
  • Module Summary: Generative AI Integration with Power BI•10 minutes
4 assignments•Total 33 minutes
  • Knowledge Check: Generative AI Integration with Power BI•15 minutes
  • Knowledge Check: AI in Business Intelligence•6 minutes
  • Knowledge Check: Power BI's AI Visuals in Action•6 minutes
  • Knowledge Check: Unleashing Generative AI in Modern BI with Copilot•6 minutes

Dive into the backbone of enterprise analytics with Power BI and Microsoft Fabric. This module equips you to build unified hybrid data architectures, streamline connectivity through OneLake and Dataflows, and deliver secure, high-performance reporting using Power BI Report Server, ensuring analytics scale reliably across any environment.

What's included

14 videos9 readings4 assignments

14 videos•Total 76 minutes
  • Mastering Connectivity Modes in Power BI•4 minutes
  • Connecting Power BI to SQL Server•5 minutes
  • Enterprise Cloud Data Connectivity with Power BI•5 minutes
  • Introduction to Power BI Dataflows•5 minutes
  • Creating and Managing Dataflows•6 minutes
  • Introduction to Microsoft Fabric•5 minutes
  • Exploring the Microsoft Fabric Interface•6 minutes
  • Unlocking Power BI in Microsoft Fabric Workloads•4 minutes
  • Leveraging OneLake Data Catalog and Dataverse•7 minutes
  • Introduction to Power BI Report Server•5 minutes
  • Exploring the Web Portal and Paginated Reports•5 minutes
  • Power BI Report Builder: End-to-End Workflow•5 minutes
  • Creating and Publishing Paginated Reports to Report Server•7 minutes
  • Setting Up and Testing Row-Level Security•6 minutes
9 readings•Total 90 minutes
  • SQL Server Installation and SSMS Configuration•10 minutes
  • Power BI REST API Automation and Web Connectivity•10 minutes
  • Building a Connected Analytics Environment with Power BI•10 minutes
  • Operationalizing Power BI: Governance, CI/CD, Automation & Cost Efficiency in Fabric•10 minutes
  • A Unified Approach to Predictive Analytics: AutoML in Fabric and Power BI•10 minutes
  • Power BI Report Server: Configuration and Enterprise Interface Overview•10 minutes
  • Designing and Formatting Paginated Reports in Power BI Report Builder•10 minutes
  • Power BI Report Server: Capabilities, Automation, and Integration•10 minutes
  • Module Summary: The Data Frontier: Hybrid Architectures in Microsoft Fabric•10 minutes
4 assignments•Total 33 minutes
  • Knowledge Check: The Data Frontier: Hybrid Architectures in Microsoft Fabric•15 minutes
  • Knowledge Check: Mastering Data Connectivity and Dataflows•6 minutes
  • Knowledge Check: The Microsoft Fabric Ecosystem•6 minutes
  • Knowledge Check: End-to-End Reporting on Power BI Report Server•6 minutes

This final module evaluates your mastery of advanced connectivity, AI-driven analytics, and enterprise reporting in Power BI. It offers a structured, graded assessment that allows you to demonstrate your ability to build scalable, secure, and intelligent BI solutions using the tools and techniques covered throughout the course.

What's included

1 video1 reading2 assignments1 discussion prompt

1 video•Total 4 minutes
  • Course Summary•4 minutes
1 reading•Total 30 minutes
  • Practice Project: Student Performance Analytics for EduVision•30 minutes
2 assignments•Total 60 minutes
  • End Course Knowledge Check: Power BI Connectivity, AI Integration & Reporting•30 minutes
  • Building an Enterprise-Ready Power BI Analytics•30 minutes
1 discussion prompt•Total 5 minutes
  • Describe your journey•5 minutes

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Instructor

Edureka
203 Courses•185,724 learners

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Frequently asked questions

The course is designed to equip learners with the ability to build hybrid-connected, AI-enabled, and enterprise-ready Power BI solutions using Python, Microsoft Fabric, AI visuals, Copilot, and Power BI Report Server.

Participants should have foundational experience with Power BI Desktop and Power BI Service, including data modeling, DAX fundamentals, and basic report design before enrolling in this course.

Learners will develop competencies in Python integration, AI-driven analytics, Copilot prompting, Fabric-based connectivity, Dataflows, OneLake, paginated reporting, RLS/OLS configuration, and enterprise reporting deployment.

The course requires approximately 3 weeks to complete, depending on individual pacing and engagement with hands-on exercises, demonstrations, and assessments.

The course provides guided exercises involving Python scripting, AI visual analysis, dataflow creation, fabric navigation, OneLake exploration, paginated report development, and secure enterprise deployment.

Yes. The course covers configuring Python, performing data transformations, generating visual outputs, and implementing basic predictive models within Power BI.

Yes. Learners will explore Power BI’s AI visuals, smart narratives, anomaly detection, and Generative AI features through Copilot to enhance analytical efficiency and automation.

The course demonstrates how Fabric supports hybrid analytics through OneLake, Dataflows, and Dataverse, enabling unified data access and scalable reporting architectures.

Yes. Learners will work with Power BI Report Server to create paginated reports, configure security, and implement on-premise reporting solutions.

Participants will engage with key influencers, decomposition tree, anomaly detection, Q&A, and smart narrative visuals to surface automated insights.

No. Fabric is integrated within the Power BI Service and is accessible through existing Power BI or Microsoft 365 environments.

Core components can be practiced using Power BI Desktop; however, features such as Fabric workloads, Dataflows, and Report Server require Power BI Pro or appropriate organizational licensing.

This course prepares learners for roles such as Power BI Developer, Data Engineer, BI Architect, Analytics Engineer, and Enterprise Reporting Specialist.

Yes. A certificate is awarded upon successful completion of all modules, hands-on activities, and the final graded assessment.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.