IBM
Generative AI Fundamentals Specialization
IBM

Generative AI Fundamentals Specialization

Unlock and leverage the potential of generative AI. Learn how you can use the capabilities of generative AI to enhance your work and daily life.

Rav Ahuja
Antonio Cangiano

Instructors: Rav Ahuja +1 more

36,072 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.7

(1,020 reviews)

Beginner level
No prior experience required
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

(1,020 reviews)

Beginner level
No prior experience required
4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Explain the fundamental concepts, capabilities, models, tools, applications, and platforms of generative AI foundation models.

  • Apply powerful prompt engineering techniques to write effective prompts and generate desired outcomes from AI models.

  • Discuss the limitations of generative AI and explain the ethical concerns and considerations for the responsible use of generative AI.

  • Recognize the ability of generative AI to enhance your career and help implement improvements at your workplace.

Skills you'll gain

  • Category: Business Transformation
  • Category: Artificial Neural Networks
  • Category: Artificial Intelligence
  • Category: Content Creation
  • Category: OpenAI
  • Category: Large Language Modeling
  • Category: Business Ethics
  • Category: Data Ethics
  • Category: Generative AI
  • Category: ChatGPT
  • Category: Legal Risk
  • Category: Deep Learning

Details to know

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Taught in English
Recently updated!

June 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 - 5 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: Prompt Engineering
Category: Innovation
Category: OpenAI
Category: Emerging Technologies
Category: Generative AI
Category: Business Leadership
Category: Business Transformation
Category: Leadership and Management
Category: Business Development
Category: ChatGPT
Category: Digital Transformation
Category: Strategic Leadership
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: 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

  • Describe the fundamental concepts of generative AI and its core models

  • Explain the concept of foundation models in generative AI

  • Explore the capabilities of pre-trained models for AI-powered applications.

  • Explore the features, capabilities, and applications of different generative AI platforms, such as IBM watsonx and Hugging Face

Skills you'll gain

Category: Legal Risk
Category: Data Ethics
Category: Socioeconomics
Category: Generative AI
Category: Safety and Security
Category: Workforce Management
Category: Machine Learning
Category: Business Ethics
Category: Artificial Intelligence
Category: Information Privacy
Category: Workforce Development
Category: Intellectual Property
Category: Environmental Social And Corporate Governance (ESG)
Category: Ethical Standards And Conduct

What you'll learn

  • Describe the limitations of generative AI and the related concerns. 

  • Identify the ethical issues, concerns, and misuses associated with generative AI.

  • Explain the considerations for the responsible use of generative AI. 

  • Discuss the economic and social impact of generative AI.

Skills you'll gain

Category: Prompt Engineering
Category: OpenAI
Category: Artificial Neural Networks
Category: Deep Learning
Category: Natural Language Processing
Category: Generative AI
Category: Google Cloud Platform
Category: IBM Cloud
Category: Large Language Modeling
Category: Artificial Intelligence
Category: Application Development

What you'll learn

  • Explain the transformative impact of generative AI on the business and industry landscape.

  • Explore potential career opportunities in generative AI.

  • Analyze how generative AI can enhance existing careers in diverse fields.

  • Apply generative AI to boost your productivity at work.

Skills you'll gain

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

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

Rav Ahuja
Rav Ahuja
IBM
55 Courses3,736,507 learners
Antonio Cangiano
Antonio Cangiano
IBM
5 Courses387,388 learners

Offered by

IBM

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