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Artificial Intelligence Fundamentals (Full course - Earn a credential!) - IBM
After completingArtificial Intelligence Fundamentals, you should be able to:
- Describe the history of AI development
- Define and describe structured, unstructured, and semi-structured data, machine learning, and ways that AI makes predictions from data
- Explain how AI understands human language
- Explain how AI analyzes and creates images
- Describe three ways that AI analyzes data
- Describe how AI makes predictions using neural networks
- Explain generative AI and the impact in today's world
- Create an AI machine learning model using IBM Watson Studio
- Describe ways that AI systems can be designed to minimize bias
- Recognize the AI job market, responsibilities and skill sets of an AI professional, hand resources and learning opportunities to explore
Resource details
| Contributed by: | Generative AI |
| Authored by: |
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| Licence: | More information on licences |
| Last updated: | 14 July 2025 |
| First contributed: | 18 June 2025 |
| Audience access level: | Full user |
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