Overview
During this Generative AI for Data Scientists course offered by Coursera in partnership with IBM build in-demand hands-on generative AI skills to supercharge your data science career in under 1 month.
What you'll learn
Apply skills to recognize real-world generative AI uses and identify popular generative AI models and tools for text, code, image, audio, and video
Understand generative AI prompt engineering concepts, examples, and common tools and learn techniques to create effective, impactful prompts
Learn how to identify appropriate generative AI tools for data science use cases
Apply generative AI prompt techniques to generate and augment datasets and to develop and refine machine learning models
Skills you'll gain
- Artificial Intelligence (AI)
- Data Science
- Machine Learning
- Prompt Engineering
- Generative AI
- ChatGPT
- Large Language Models (LLM)
- Natural Language Generation
- Data Analysis
- Quering Databases
Programme Structure
Courses included:
- Generative AI: Introduction and Applications
- Generative AI: Prompt Engineering Basics
- Generative AI: Elevate Your Data Science Career
Key information
Duration
- Part-time
- 1 months
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Artificial Intelligence Machine Learning View 213 other Short Courses in Machine Learning in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate level
- Prior data science experience is helpful.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $59/month, cancel anytime or $399/year with 14-day money-back guarantee
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.