Generative AI for Data Analysts

Overview

Generative AI for Data Analysts

The demand for professionals with knowledge of artificial intelligence (AI) is on the rise. There is a revolution in the way organizations make decisions based on generative AI data analysis.

This specialization brings forth real-world generative AI use cases and popular generative AI models and tools for text, code, image, audio, and video generation.

In this specialization, you will delve into generative AI prompt engineering concepts and real-world business uses. Learn about prompt techniques like zero-shot and few-shot and explore various prompt engineering approaches and tools like IBM Watsonx, Prompt Lab, Spellbook, and Dust.

Enhance your skills with in-depth knowledge of fundamental concepts, models, tools, and generative AI applications pertinent to the data analytics landscape. Understand the building blocks and foundation models of generative AI, such as GPT, DALL-E, and IBM Watson Studio.

Additionally, you will learn about the ethical implications, considerations, and challenges of using generative AI in different industries.

The hands-on labs included in the course offer an opportunity to apply different tools in the IBM Generative AI Classroom. You will apply the concepts learned in the course in a real-life project scenario at the end of the course.

No experience is needed to begin this specialization, although some data analytics knowledge might be helpful.

University:

  Provider:

Coursera   Specialization

Categories:

Generative AI Courses, Prompt Engineering Courses, DALL-E Courses, IBM Watson Courses

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Taught by

Abhishek Gagneja, Antonio Cangiano, Dr. Pooja and Rav Ahuja

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Subjects