What will you learn in this Generative AI for Data Scientists Specialization Course
-
Understand the fundamentals of generative AI and its applications in data science.
-
Master prompt engineering techniques to optimize AI outputs.
-
Utilize generative AI tools like IBM Watsonx, Prompt Lab, Spellbook, and Dust.
-
Apply generative AI in data augmentation, feature engineering, model development, and visualization.
-
Gain hands-on experience through real-world projects and scenarios.
Program Overview
Module 1: Getting Started
Course 1: Generative AI: Introduction and Applications
⏳ 7 hours
- Learn the basics of generative AI, its capabilities, and real-world use cases across various industries.
Course 2: Generative AI: Prompt Engineering Basics
⏳ 7 hours
- Delve into prompt engineering concepts, exploring techniques like zero-shot and few-shot prompting, and tools to create effective prompts.
Course 3: Generative AI: Elevate Your Data Science Career
⏳ 14 hours
- Apply generative AI tools and techniques in data science processes such as data preparation, analysis, visualization, and storytelling.
Get certificate
Job Outlook
-
Completing this specialization prepares you for roles such as Data Scientist, AI Specialist, or Machine Learning Engineer.
-
The skills acquired are applicable across various industries that utilize data science and AI technologies.
-
Enhance your employability by gaining practical experience in applying generative AI to data science workflows.
Explore More Learning Paths
Take your data science and AI expertise to the next level with these hand-picked programs designed to expand your skills and boost your analytical potential.
Related Courses
-
Applied Data Science Specialization Course – Gain practical experience applying data science techniques to real-world datasets and projects.
-
Tools for Data Science Course – Master the essential tools, programming languages, and frameworks used by data professionals.
-
Foundations of Data Science Course – Build a solid understanding of key concepts, statistics, and methodologies that underpin data science.
Related Reading
-
What Is a Data Scientist? – Learn what data scientists do, the skills required, and how this role drives decision-making in modern organizations.
