Generative AI for Business Intelligence (BI) Analysts

IBM via Coursera Specialization

Overview

Class Central Tips

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.

Syllabus

Course 1: Generative AI: Introduction and Applications
- This course is designed for everyone, including professionals, executives, students, and enthusiasts, interested in learning about ... Enroll for free.

Course 2: Generative AI: Prompt Engineering Basics
- This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in leveraging effective ... Enroll for free.

Course 3: Generative AI: Elevate your Business Intelligence Career
- Do you want to enhance your career in business intelligence (BI) by leveraging generative AI? This course discusses the use cases for ... Enroll for free.

Courses

0 reviews
7 hours 11 minutes
View details

This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in leveraging effective prompt engineering techniques to unlock the full potential of generative artificial intelligence (AI) tools like ChatGPT. Prompt engineering is a process to effectively guide generative AI models and control their output to produce desired results. In this course, you will learn the techniques, approaches, and best practices for writing effective prompts. You will learn about prompt techniques like zero-shot and few-shot, which can improve the reliability and quality of large language models (LLMs). You will also explore various prompt engineering approaches like Interview Pattern, Chain-of-Thought, and Tree-of-Thought, which aim at generating precise and relevant responses. You will be introduced to commonly used prompt engineering tools like IBM watsonx Prompt Lab, Spellbook, and Dust. The hands-on labs included in the course offer an opportunity to optimize results by creating effective prompts in the IBM Generative AI Classroom. You will also hear from practitioners about the tools and approaches used in prompt engineering and the art of writing effective prompts.
0 reviews
6 hours 42 minutes
View details

This course is designed for everyone, including professionals, executives, students, and enthusiasts, interested in learning about generative AI and leveraging its capabilities in their work and lives. This course is your first step toward understanding the capabilities of generative AI, powered by different models, including large language models (LLMs). In this course, you will learn about the fundamentals and evolution of generative AI. You will explore the capabilities of generative AI in different domains, including text, image, audio, video, virtual worlds, code, and data. You will understand the applications of generative AI across different sectors and industries. You will learn about the capabilities and features of common generative AI models and tools, such as GPT, DALL-E, Stable Diffusion, and Synthesia. Hands-on labs, included in the course, provide an opportunity to explore the use cases of generative AI through IBM Generative AI Classroom and popular tools like ChatGPT. You will also hear from the practitioners about the capabilities, applications, and tools of generative AI.
0 reviews
10 hours 9 minutes
View details

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, you’ll 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.