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IBM
Generative AI Fundamentals Specialization

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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

Instructors

Rav Ahuja
IBM
56 Courses3,929,091 learners
Antonio Cangiano
IBM
5 Courses435,703 learners

38,805 already enrolled

Included withCoursera Plus

Get in-depth knowledge of a subject
4.7

(1,111 reviews)

Beginner level
No prior experience required
1 month
at 5 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(1,111 reviews)

Beginner level
No prior experience required
1 month
at 5 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.

Details to know

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Taught in English

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

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: ChatGPT
Category: Large Language Modeling
Category: IBM Cloud

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: Generative AI
Category: Deep Learning
Category: Computing Platforms
Category: Tensorflow
Category: OpenAI
Category: Artificial Neural Networks
Category: Artificial Intelligence
Category: IBM Cloud
Category: Large Language Modeling
Category: ChatGPT
Category: Natural Language Processing
Category: Prompt Engineering

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: Generative AI
Category: Socioeconomics
Category: Business Ethics
Category: Legal Risk
Category: Safety and Security
Category: Data Ethics
Category: Artificial Intelligence
Category: Intellectual Property
Category: Information Privacy
Category: Machine Learning
Category: Ethical Standards And Conduct
Category: Environmental Social And Corporate Governance (ESG)
Category: Workforce Management
Category: Workforce 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: Generative AI
Category: Leadership and Management
Category: Digital Transformation
Category: Content Creation
Category: ChatGPT
Category: OpenAI
Category: Business Development
Category: Prompt Engineering
Category: Strategic Leadership
Category: Business Leadership
Category: Innovation
Category: Emerging Technologies
Category: Business Transformation

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
IBM
56 Courses3,929,091 learners
Antonio Cangiano
IBM
5 Courses435,703 learners

Offered by

IBM

Offered by

IBM

At IBM, we know how rapidly tech evolves and recognize the crucial need for businesses and professionals to build job-ready, hands-on skills quickly. As a market-leading tech innovator, we’re committed to helping you thrive in this dynamic landscape. Through IBM Skills Network, our expertly designed training programs in AI, software development, cybersecurity, data science, business management, and more, provide the essential skills you need to secure your first job, advance your career, or drive business success. Whether you’re upskilling yourself or your team, our courses, Specializations, and Professional Certificates build the technical expertise that ensures you, and your organization, excel in a competitive world.

Why people choose Coursera for their career

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Learner since 2018
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Frequently asked questions

This specialization is self-paced. On average, learners who spend 3–5 hours a week can complete it in 5 weeks.

This specialization does not require any specific prerequisites. Basic knowledge of the core concepts and application of artificial intelligence may be helpful but is not mandatory. No programming knowledge is required. This course is suitable for learners with or without a degree.

The courses in this specialization have been designed in a logical sequence. It is recommended that the courses be taken in the order they are presented to derive maximum learning.

Financial aid available,


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