IBM
Generative AI for Data Scientists Specialization
IBM

Generative AI for Data Scientists Specialization

Leap ahead in data science using generative AI. Build in-demand hands-on generative AI skills to supercharge your data science career in under 1 month

Dr. Pooja
Abhishek Gagneja
Rav Ahuja

Instructors: Dr. Pooja +3 more

11,110 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.7

(299 reviews)

Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(299 reviews)

Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

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

  • Category: ChatGPT
  • Category: Exploratory Data Analysis
  • Category: Data Analysis
  • Category: Data Cleansing
  • Category: Prompt Engineering
  • Category: Feature Engineering
  • Category: Predictive Modeling
  • Category: Large Language Modeling
  • Category: Data Synthesis
  • Category: OpenAI
  • Category: Data Storytelling
  • Category: Image Analysis

Details to know

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Taught in English
Recently updated!

May 2025

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from IBM

Specialization - 3 course series

What you'll learn

  • Describe generative AI and distinguish it from discriminative AI.

  • Describe the capabilities of generative AI and its use cases in the real world.

  • Identify the applications of generative AI in different sectors and industries.

  • Explore common generative AI models and tools for text, code, image, audio, and video generation.

Skills you'll gain

Category: Program Development
Category: Prompt Engineering
Category: OpenAI
Category: Generative AI
Category: Virtual Environment
Category: Image Analysis
Category: Large Language Modeling
Category: ChatGPT
Category: Artificial Intelligence
Category: Content Creation

What you'll learn

  • Explain the concept, relevance, and best practices of prompt engineering to guide generative AI models in producing meaningful, accurate outputs.

  • Apply prompt engineering techniques to text prompts, improving the reliability and quality of large language models.

  • Practice prompt engineering techniques and approaches, including interview pattern, chain-of-thought, tree-of-thought, to improve prompt outcomes.

  • Explore commonly used tools for prompt engineering to aid with prompt engineering.

Skills you'll gain

Category: Prompt Engineering
Category: OpenAI
Category: Generative AI
Category: Image Analysis
Category: Large Language Modeling
Category: ChatGPT

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

Category: Data Analysis
Category: Data Ethics
Category: Natural Language Processing
Category: Generative AI
Category: Data Manipulation
Category: Data Storytelling
Category: Predictive Analytics
Category: Data Synthesis
Category: Data Cleansing
Category: Data Presentation
Category: Exploratory Data Analysis
Category: Data Modeling
Category: Data Science
Category: Predictive Modeling
Category: Feature Engineering
Category: Data Visualization Software

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Instructors

Dr. Pooja
Dr. Pooja
IBM
4 Courses339,728 learners

Offered by

IBM

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