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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.


Instructors:Rav Ahuja
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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
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Specialization - 5 course series

Generative AI: Introduction and Applications
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: Prompt Engineering Basics
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

Generative AI: Foundation Models and Platforms
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

Generative AI: Impact, Considerations, and Ethical Issues
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

Generative AI: Business Transformation and Career Growth
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
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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.
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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.
More questions
Financial aid available,