English | Size: 591 MB
Genre: eLearning
Unlock the Potential of Generative AI in BI. Learn how you can use the capabilities and tools of generative AI to boost your career in business intelligence
What you’ll learn
Explain generative AI’s fundamental capabilities and applications in the BI domain.
Develop effective prompts using prompt engineering approaches and techniques.
Apply generative AI tools and techniques to optimize every stage of the BI lifecycle.
Explain ethical considerations, challenges, and best practices in implementing generative AI for BI.
Specialization – 3 course series
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 ProjectThroughout 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
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