IBM SkillsBuild

Are you interested in learning about generative artificial intelligence? In Foundations in Generative AI, you’ll be introduced to foundational concepts of generative AI, focusing on how machines create content such as text and images. You’ll gain a basic understanding of generative AI through examples and clear explanations. In Ethical Considerations for Generative AI, you’ll explore the ethics of generative AI, including transparency, accountability, and fairness. You explore risks in inputs and outputs of generative AI. You’ll learn about the IBM AI Risk Atlas as a resource for understanding potential impacts. A Large Language Model (LLM) is a type of AI model designed to understand and generate human-like language. LLMs are a foundational technology behind many generative AI applications. In Introduction to Large Language Models, you’ll explore how to apply large language models in practical scenarios such as customer service and content creation, with a focus on guiding IBM Granite models effectively.



Complete the following modules to earn an industry-recognized IBM SkillsBuild digital credential called Getting Started with Generative AI:

1. Foundations in Generative AI

2. Ethical Considerations for Generative AI

3. Introduction to Large Language Models



What you’ll learn

After completing these modules, you should be able to:

Apply prompt refinement techniques to improve the quality of AI-generated responses
Explore the IBM AI risk atlas
Craft a product blog post with IBM Granite