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IBM

Mastering Generative AI for Data Science

IBM via edX

Overview

With generative AI transforming the data science landscape, mastering its applications is crucial to data science professionals. This course equips you with cutting-edge generative AI skills tailored to the needs of a data scientist.

Through real-world scenarios, you will explore the use of generative AI throughout the data science lifecycle. Starting with data querying and preparation, you will learn how to leverage generative AI to generate, augment, and refine the data. You will also apply advanced AI techniques to develop and refine machine learning models while exploring ethical implications.

This course is designed for existing data scientists, data professionals, analysts, and engineers looking to thrive in the evolving AI landscape.

You’ll gain hands-on experience using generative AI tools, culminating in a course-end project that simulates a real-world scenario. Your project would make an excellent addition to prospective employers. Finally, you’ll also be completing a final quiz to obtain your certificate,

A basic understanding of generative AI, prompt engineering, and data science is essential to complete this course successfully.

Syllabus

Module 1: Data Science and Generative AI

  • Generative AI and Data Science
  • Generative AI’s Impact Across Industries
  • Types of Generative AI models
  • Generative AI for Data Generation and Augmentation
  • Generative AI for Data Preparation and Data Querying

Module 2: Use of Generative AI for Data Science

  • Generative AI for Data Insights
  • Generative AI for Data Visualization
  • Generative AI Tools for Model Development
  • Generative AI for Understanding Data and Model Development
  • Considerations While using Generative AI in Industries
  • Challenges While Using Generative AI in Industries

Module 3: Final Project and Exam

Taught by

Rav Ahuja and Abhishek Gagneja

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