Coursera - Generative AI for Data Scientists Specialization

What you'll learn
Apply skills to recognize real-world generative AI uses and identify popular generative AI models and tools for text, code, image, audio, and video
Understand generative AI prompt engineering concepts, examples, and common tools and learn techniques to create effective, impactful prompts
Learn how to identify appropriate generative AI tools for data science use cases
Apply generative AI prompt techniques to generate and augment datasets and to develop and refine machine learning models
Skills you'll gain
Artificial Intelligence (AI)
Data Science
Machine Learning
Prompt Engineering
Generative AI
Generative AI knowledge is now an essential data science skill. According to Gartner, "By 2026, 20% of top data science teams will have rebranded as Cognitive Science or Science consultancies, increasing diversity in staff skills by 800%."
With the industry trends in mind, IBM brings you this specialization to help boost your career! This three-course specialization is designed to help you kickstart your journey into applying generative AI in the field of data science. This includes existing and aspiring data professionals, such as data scientists, data analysts, data architects, and engineers, and even data enthusiasts.
You will begin the specialization by understanding the basics of generative AI and its real-world applications. Then, learn about generative AI prompts engineering concepts and approaches, and explore commonly used prompt engineering tools including IBM Watsonx, Prompt Lab, Spellbook, and Dust. Finally, delve into applying generative AI tools and techniques throughout the data science methodology for data augmentation, data generation, feature engineering, model development, model refinement, visualizations, and insights. Give your data science techniques a boost with generative AI! Enroll now and gain the skills that show your current employer and others, that you're ready to effectively harness the power of generative AI.
Applied Learning Project
This Specialization emphasizes applied learning and includes a series of hands-on activities and projects. In these exercises, you'll take the theory and skills you've gained and practice them with real-world scenarios.
Some hands-on activities and projects include
Generate Text, Images, and Code using Generative AI
Apply Prompt Engineering Techniques and Best Practices
Use generative ai models to create a prediction model for used car sale price
Homepage