Generative AI: Elevate Your Data Science Career
Master generative AI tools and techniques to enhance your data science workflow, from data preparation to model development.
Master generative AI tools and techniques to enhance your data science workflow, from data preparation to model development.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM Data Science Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
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What you'll learn
Leverage generative AI tools for data preparation and querying
Generate and augment datasets for specific use cases
Apply AI techniques in machine learning model development
Visualize data insights using generative AI tools
Understand ethical considerations in AI implementation
Skills you'll gain
This course includes:
1.45 Hours PreRecorded video
7 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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 3 modules in this course
This comprehensive course focuses on integrating generative AI into data science workflows. Students learn to leverage cutting-edge tools like GPT 3.5, ChatCSV, and tomat.ai for data preparation, analysis, and model development. The curriculum covers data generation, augmentation, and feature engineering techniques across multiple industries. Through hands-on labs and real-world projects, learners develop practical skills in using generative AI for data visualization, model building, and generating insights. The course also addresses ethical considerations and industry-specific challenges in implementing generative AI solutions.
Data Science and Generative AI
Module 1 · 4 Hours to complete
Use of Generative AI for Data Science
Module 2 · 5 Hours to complete
Final Project and Exam
Module 3 · 2 Hours to complete
Fee Structure
Instructors
Experienced Educator and Applied AI Researcher with a Passion for Knowledge Sharing
With over a decade of university-level teaching experience, this passionate educator has developed numerous course modules, educational content, and hands-on lab designs. As a doctorate-level researcher specializing in applied AI, machine learning, and deep learning applications, they are dedicated to advancing both academic and practical knowledge. Their extensive background spans curriculum development, research, and fostering student engagement through practical projects.
Technology Education and Skills Development Leader at IBM
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
Testimonials
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4.7 course rating
73 ratings
Frequently asked questions
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