Coursera – Generative AI for Data Scientists Specialization 2024-2

Generative AI for Data Scientists Specialization course. Knowing how to produce artificial intelligence is now an essential skill for data science. According to Gartner, “by 2026, 20 percent of top data science teams will be recognized as cognitive science or science consultancies, increasing employee skills by 800 percent.” With industry trends in mind, IBM offers the expertise to help boost your career! This three-course specialization is designed to help you get started with productive AI in data science. This course includes existing and aspiring data professionals, such as data scientists, data analysts, data architects and engineers, and even data science enthusiasts. You’ll start by understanding the basics of artificial intelligence and its real-world applications. Then learn about manufacturer AI prompt engineering concepts and approaches and explore popular prompt engineering tools including IBM Watsonx, Prompt Lab, Spellbook, and Dust. Finally, apply generative AI tools and techniques across data science methodologies for data augmentation, data generation, feature engineering, model development, model improvement, visualization, and insight. Boost your data science techniques with artificial intelligence from the manufacturer! Some of the practical activities and projects include:

• Generating text, images and code using artificial intelligence
• Apply prompt engineering techniques and best practices
• Using manufacturer artificial intelligence models to create a predictive model for used car sales prices

What you will learn:

• Identify real-world applications of producer AI and identify popular producer AI models and tools for text, code, images, audio, and video.
• Understand the concepts, examples, and common tools of artificial intelligence prompt engineering and learn techniques to create effective and impactful prompts.
• Identifying the right artificial intelligence tools to produce for data science use cases.
• Apply generative artificial intelligence prompting techniques to generate and enhance datasets and develop and improve machine learning models.

This course is suitable for people who:

• Looking for in-demand skills in artificial intelligence, data science, machine learning, prompt engineering, and manufacturing artificial intelligence.

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