Generative AI is now mainstream. Boost your career with a course that features leading-edge, in-demand, generative AI skills tuned to the needs of data scientists.
Generative AI: Elevate Your Data Science Career
Generative AI: Elevate Your Data Science Career
This course is part of Generative AI for Data Scientists Specialization
Taught in English
Some content may not be translated
Instructors: Rav Ahuja
2,218 already enrolled
Included with 
Course
Gain insight into a topic and learn the fundamentals
4.8
(22 reviews)
Intermediate level
Recommended experience
11 hours (approximately)
Flexible schedule
Learn at your own pace
What you'll learn
Leverage generative AI tools, like GPT 3.5, ChatCSV, and tomat.ai, available to Data Scientists for querying and preparing data
Examine real-world scenarios where generative AI can enhance data science workflows
Practice generative AI skills in hand-on labs and projects by generating and augmenting datasets for specific use cases
Apply generative AI techniques in the development and refinement of machine learning models
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
January 2024
Assessments
7 assignments
Course
Gain insight into a topic and learn the fundamentals
4.8
(22 reviews)
Intermediate level
Recommended experience
11 hours (approximately)
Flexible schedule
Learn at your own pace
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Generative AI for Data Scientists Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 3 modules in this course
In this module, you will explore the role of generative AI in data science. Lesson 1 introduces you to generative AI and how it can serve various purposes in the hands of data scientists. You will learn about the four common types of generative AI models and their impact and applications across diverse industries. Lesson 2 will cover how data scientists can leverage generative AI in the data science lifecycle. You will learn how data scientists can effectively use generative AI to perform data generation, data preparation, data querying, and data augmentation. You will also learn about data preparation and querying challenges and how generative AI models can help tackle these challenges.
What's included
9 videos2 readings3 assignments2 app items1 discussion prompt7 plugins
In this module, you will explore the role of generative AI in data science. Lesson 1 will cover generative AI for understanding data and model building. You will learn how data scientists can use generative AI to visualize, develop, and build models. Lesson 2 will cover the use of generative AI for data science regarding tools and techniques to help in exploratory data analysis (EDA) and develop a predictive model. You will learn about the industry-specific considerations while using generative AI and the challenges data scientists face. You will also learn about the skills data scientists require to succeed in their field and how generative AI can help them hone those skills in today’s world.
What's included
6 videos1 reading3 assignments3 app items4 plugins
Enhance your data science with generative AI and complete the guided project and evaluation.
What's included
1 video3 readings1 assignment1 app item1 plugin
Recommended if you're interested in Data Analysis
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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