Generative AI for Data Analysts
The demand for professionals with a knowledge of artificial intelligence (AI) is on the rise. There is a revolution in the way organizations make decisions on the basis of 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.
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The demand for professionals with a knowledge of artificial intelligence (AI) is on the rise. There is a revolution in the way organizations make decisions on the basis of 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.
The demand for professionals with a knowledge of artificial intelligence (AI) is on the rise. There is a revolution in the way organizations make decisions on the basis of 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 prompts 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.
Next enhance your skills with an in-depth knowledge of the fundamental concepts, models, tools, and generative AI applications, with regards to the data analytics landscape. Learn about the building blocks and foundation models of generative AI, such as the GPT, DALL-E, and IBM Watson Studio. Additionally, you will understand the ethical implications, considerations, and challenges while 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 you might find it helpful to have some data analytics knowledge.
What's inside
One course
Generative AI: Enhance your Data Analytics Career
(0 hours)
Generative AI: Enhance your Data Analytics Career
(0 hours)Learning objectives
- Apply your skills to recognize real-world generative ai uses and identify popular generative ai models and tools.
- Gain knowledge of generative ai prompt engineering concepts, examples, common tools and techniques needed to create effective, impactful prompts.
- Identify appropriate generative ai tools for data analytics.
- Examine real-world applications where generative ai can enhance data analytics workflows.
- Apply your skills to recognize real-world generative ai uses and identify popular generative ai models and tools.
- Gain knowledge of generative ai prompt engineering concepts, examples, common tools and techniques needed to create effective, impactful prompts.
- Identify appropriate generative ai tools for data analytics.
- Examine real-world applications where generative ai can enhance data analytics workflows.
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