IBM
IBM Generative AI for Data Scientists Specialization
IBM

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

Included with Coursera Plus

Get in-depth knowledge of a subject
4.7

(373 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

(373 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

Details to know

Shareable certificate

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Taught in English
17 practice exercises

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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

Generative AI, ChatGPT, Machine Learning, Responsible AI, and Artificial Intelligence and Machine Learning (AI/ML)

What you'll learn

  • Explain the concept and relevance of prompt engineering in generative AI models. 

  • Apply the best practices for creating prompts.

  • Assess commonly used tools for prompt engineering.

  • Apply common prompt engineering techniques and approaches for writing effective prompts.

Skills you'll gain

Prompt Engineering, Prompt Patterns, ChatGPT, and Generative AI

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

Generative AI, Responsible AI, Data Synthesis, Data Ethics, Exploratory Data Analysis, Feature Engineering, Natural Language Processing, Data Analysis, Prompt Engineering, Predictive Modeling, Data Science, and Data Visualization Software

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Dr. Pooja
IBM
4 Courses366,759 learners

Offered by

IBM

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