Are you a business intelligence (BI) Analyst or aspiring to start your career in this domain? This specialization can help to advance your career by leveraging the power of generative AI. 

The specialization consists of three short, self-paced courses, each requiring 4–6 hours to complete. 

Explore the core concepts and capabilities of generative AI and learn to leverage these capabilities throughout the BI lifecycle.

Learn the techniques of prompt engineering to optimize the outcomes produced by generative AI tools. 

Gain practical skills in using generative AI for different use cases in BI, including querying databases and documents, automating data visualization, and creating dashboards and reports.

Learn how generative AI supports data analysis, synthetic data creation, and data cleansing.

Explore several generative AI tools that can be used in the BI domain. Learn how common generative AI tools like ChatGPT and Microsoft Copilot can be used in BI. 

Through the hands-on labs and projects, you will gain valuable experience in harnessing generative AI in BI.

You will hear from experts about their insights on the different concepts covered in the courses. 

Applied Learning Project

Throughout this specialization, you will complete hands-on labs and projects to gain practical experience in leveraging generative AI for different use cases in the BI domains. 

You will learn how to draft effective prompts for generating relevant outputs regarding the common and specific scenarios in BI. 

Some examples of the labs includedare:

• Generate Text Using Generative AI

• Generating Text, Images, and Code 

• Experimenting with Prompts

• Naive Prompting and the Persona Pattern 

• The Chain-of-Thought Approach in Prompt Engineering

• The Tree-of-Thought Approach in Prompt Engineering

• Data generation and cleansing 

• Querying databases and documents

• Generating SQL queries with AI 

• Data analysis using generative AI tools 

• Data visualization with AI tools

• Project