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Generative AI for Data Science
Master the application of GenAI in data science. Learn data augmentation, feature engineering, and ethical AI implementation.
Course Cost
₹ 2,699
Intermediate
Skill Level
3 Hours
Self-paced lessons
This comprehensive course teaches data scientists how to leverage Generative AI in their projects. Students learn to implement GenAI applications including data augmentation, feature engineering, and anomaly detection. The curriculum covers running local LLMs, practical implementations in marketing and advertising, and crucial aspects of data security and privacy. Perfect for professionals looking to integrate cutting-edge AI technology into their data science workflow.
What you'll learn
Master GenAI applications in data science and marketing
Implement data augmentation and feature engineering techniques
Run and deploy large language models locally
Analyze data security and privacy implications
Apply ethical considerations in GenAI implementations
Develop practical skills in anomaly detection
Integrate GenAI into existing data workflows
Skills you'll gain
This course includes:
64 Minutes PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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CREATED BY
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This comprehensive course explores the integration of Generative AI in data science applications. The curriculum covers essential aspects from basic GenAI concepts to advanced implementations in data augmentation and feature engineering. Students learn practical skills in running large language models locally, implementing specific use cases, and addressing data security and privacy concerns. The course emphasizes both technical proficiency and ethical considerations in applying GenAI to data science challenges.
Generative AI for Data Science
Module 1 · 12 Minutes to complete
Lesson 1: Versatility and Impact of GenAI in Data Science
Module 2 · 22 Minutes to complete
Lesson 2: Running and deploying an LLM locally for Data Science
Module 3 · 33 Minutes to complete
Lesson 3: Feature Engineering with High Performance SMS Campaign Data
Module 4 · 60 Minutes to complete
Lesson 4: Ethical Considerations of GenAI
Module 5 · 60 Minutes to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Students
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Frequently asked Questions
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