- Artificial Intelligence (AI)
- Prompt Engineering
- ChatGPT
- hugging face
- Generative AI Careers
- Generative AI
- Stable Diffusion
- Hugging Face
- Foundation Models
May 23, 2024
Approximately 1 months at 5 hours a week to completeSERGIO LUIS HERNÁNDEZ SANTANA's account is verified. Coursera certifies their successful completion of IBM Generative AI Fundamentals Specialization.
Course Certificates Completed
Generative AI: Impact, Considerations, and Ethical Issues
Generative AI: Introduction and Applications
Generative AI: Business Transformation and Career Growth
Generative AI: Foundation Models and Platforms
Generative AI: Prompt Engineering Basics
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.
Earned after completing each course in the Specialization
IBM
Taught by: Rav Ahuja
Completed by: SERGIO LUIS HERNÁNDEZ SANTANA by May 23, 2024
3 weeks of study, 1–2 hours/week
IBM
Taught by: Rav Ahuja
Completed by: SERGIO LUIS HERNÁNDEZ SANTANA by May 23, 2024
3 weeks of study, 1-2 hours/week
IBM
Taught by: Rav Ahuja
Completed by: SERGIO LUIS HERNÁNDEZ SANTANA by May 23, 2024
3 weeks of study, 1-3 hours/week
IBM
Taught by: Rav Ahuja
Completed by: SERGIO LUIS HERNÁNDEZ SANTANA by May 23, 2024
3 weeks of study, 1–2 hours per week
IBM
Taught by: Antonio Cangiano & Rav Ahuja
Completed by: SERGIO LUIS HERNÁNDEZ SANTANA by May 23, 2024
3 weeks of study, 1-2 hours/week