Generative AI: Elevate your Business Intelligence Career
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Generative AI: Elevate your Business Intelligence Career
This course is part of multiple programs.
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What you'll learn
Explain the role of generative AI in every stage of the BI lifecycle.
Use generative AI to improve data handling and analysis in BI.
Leverage generative AI-powered tools for enhanced data visualization and reporting in BI.
Discuss ethical considerations and challenges in implementing generative AI in BI.
Skills you'll gain
Tools you'll learn
Details to know
9 assignments
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There are 4 modules in this course
Do you want to enhance your career in business intelligence (BI) by leveraging generative AI? This course discusses the use cases for leveraging generative AI across different stages of the BI lifecycle.
The course teaches how generative AI-based tools enable querying databases, documents, and spreadsheets using natural language and AI. You will learn about SQL generation using AI tools and data analysis through clustering and segmentation. You will learn how generative AI can be useful for interactive data visualizations, including generating data infographics and dashboards. Using generative AI tools, you will learn to create and analyze reports and presentations. You will learn about text generation and summarization through generative AI and conversational interfaces in BI. The course also provides useful insights into ethical considerations, challenges, and limitations of using generative AI for BI. The course offers hands-on labs and a project to showcase your proficiency in applying generative AI to different use cases in the BI domain. With a blend of theory, hands-on labs, and real-world case studies, youβll effectively use cutting-edge BI tools and techniques for business success. You will also hear from practitioners about the potential and capabilities of generative AI to transform your HR career. This course is suitable for existing BI Analysts as well as those starting their careers in this domain.
In this module, you will explore the role of generative AI across the different stages of the BI lifecycle. You will learn about the generative AI tools and technologies that can be leveraged to enhance BI. You will also explore how to generate synthetic data, detect anomalies, and handle missing data. The hands-on labs will enable you to experience data cleansing.
What's included
5 videos3 readings2 assignments1 app item2 plugins
5 videosβ’Total 33 minutes
- Course Introductionβ’5 minutes
- Role of Generative AI in the BI lifecycle β’6 minutes
- Generative AI Technologies and Tools for BI β’8 minutes
- Synthetic Data Generation with AIβ’6 minutes
- Data Cleansing: Anomaly Detection and Handling Missing Data β’8 minutes
3 readingsβ’Total 14 minutes
- Course Overview β’10 minutes
- How to Make the Most of This Courseβ’1 minute
- Summary: Data Handling and Cleansingβ’3 minutes
2 assignmentsβ’Total 27 minutes
- Graded Quiz: Data Handling and Cleansingβ’21 minutes
- Practice Quiz: Introduction, Data Handling and Cleansing β’6 minutes
1 app itemβ’Total 30 minutes
- Hands-on Lab: Data Generation and Cleansingβ’30 minutes
2 pluginsβ’Total 30 minutes
- Latest Trends and Toolsβ’15 minutes
- Resources: Introduction, Data Handling and Cleansing β’15 minutes
This module focuses on querying databases, documents, and spreadsheets using natural language and AI. You will learn about SQL generation using AI tools and data analysis through clustering and segmentation. Hands-on labs will provide practical experience in querying, SQL, and data analysis.
What's included
4 videos1 reading2 assignments1 app item1 discussion prompt2 plugins
4 videosβ’Total 30 minutes
- Querying Documents and Spreadsheets with AI β’7 minutes
- Querying Databases Using Natural Language β’8 minutes
- SQL Generation with AI Tools β’7 minutes
- Data Clustering and Segmentationβ’8 minutes
1 readingβ’Total 3 minutes
- Summary: Data Analysisβ’3 minutes
2 assignmentsβ’Total 29 minutes
- Graded Quiz: Data Analysisβ’21 minutes
- Practice Quiz: Data Analysis and SQL Queryingβ’8 minutes
1 app itemβ’Total 30 minutes
- Hands-on Lab: Data Analysis Using Generative AI Toolsβ’30 minutes
1 discussion promptβ’Total 10 minutes
- Generative AI for Enhanced Decision-Making in BIβ’10 minutes
2 pluginsβ’Total 45 minutes
- Hands-on lab: Generating SQL Queries with AIβ’30 minutes
- Resources: Data Analysis and SQL Queryβ’15 minutes
This module helps you explore interactive data visualization and the generation of infographics. You will learn how to automate visualization and create dashboards using AI tools. The hands-on labs will enable you to experience data visualization and dashboards. Further, the module focuses on creating reports and presentations using AI. You will learn about text generation and summarization and gain insight into conversational interfaces in BI. Hands-on labs will provide you with practical experience in data reporting.
What's included
6 videos3 readings3 assignments1 discussion prompt2 plugins
6 videosβ’Total 44 minutes
- Automated and Interactive Data Visualization with Generative AIβ’7 minutes
- Generating Infographics and Data-Driven Narrativesβ’8 minutes
- Creating Dashboards β’7 minutes
- Creating Reports Using AI β’8 minutes
- Creating Presentations for Stakeholders Using AIβ’6 minutes
- Conversational Interfaces for BI Analysts β’8 minutes
3 readingsβ’Total 17 minutes
- Resources: Data Visualization and Dashboards β’10 minutes
- Resources: Data Reporting β’4 minutes
- Summary: Data Visualization and Reporting β’3 minutes
3 assignmentsβ’Total 33 minutes
- Graded Quiz: Data Visualization and Reporting β’21 minutes
- Practice Quiz: Data Visualization and Dashboards β’6 minutes
- Practice quiz: Data Reporting β’6 minutes
1 discussion promptβ’Total 10 minutes
- [Optional] Discussion Prompt: Balancing Generative AI and Human Intelligence in Business Intelligence β’10 minutes
2 pluginsβ’Total 60 minutes
- Hands-on lab: Dashboards with AIβ’30 minutes
- Hands-on Lab: Text Generation and Summarizationβ’30 minutes
In this module, you will learn about the ethical considerations, challenges, and limitations of using generative AI for BI. You will also explore the future trends in BI in the context of generative AI. This module includes a hands-on project that allows one to practice the generative AI concepts and tools learned in the course to optimize the BI experience. Additionally, it consists of a graded quiz to evaluate your mastery of the concepts covered throughout the course. A glossary aids the understanding of key terms related to generative AI in customer support. Finally, it guides you toward the next steps in your learning journey.β―β―
What's included
4 videos2 readings2 assignments4 plugins
4 videosβ’Total 26 minutes
- Bias and Impact on Business Analytics β’7 minutes
- Issues with Mathematical Calculations and Hallucinations β’7 minutes
- Future Trends and Challenges in Generative AI for BIβ’7 minutes
- Course Wrap-Upβ’4 minutes
2 readingsβ’Total 6 minutes
- Congratulations and Next Stepsβ―β― β’5 minutes
- Thanks from the Course Teamβ―β’1 minute
2 assignmentsβ’Total 27 minutes
- Final Exam: Generative AI: Elevate your BI Career β’21 minutes
- Practice quiz: Ethical Considerations and Limitations of Generative AI in BI β’6 minutes
4 pluginsβ’Total 105 minutes
- Transparency and Interpretabilityβ’15 minutes
- Ethical Considerations and Limitations of Generative AI in Business Intelligence β’15 minutes
- Final Project: AI-Powered Visualizationsβ’60 minutes
- Glossary: Generative AI: Elevate your Business Intelligence Careerβ’15 minutes
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Reviewed on Sep 21, 2025
A practical and impactful specialization that shows how Generative AI can be applied directly in business intelligence.
Reviewed on Mar 14, 2025
Good didactics, but the choice of tools required for completing independent tasks was not optimal, choosing IBM tools would be better.
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