- Introduction to Artificial Intelligence
- Natural Language Processing and Computer Vision
- Machine Learning and Deep Learning
- Run AI Models with IBM Watson Studio
- AI Ethics
- Your Future in AI: The Job Landscape
What you’ll learn
After completing Artificial Intelligence Fundamentals, you should be able to:
- Describe the history of AI development
- Define and describe structured, unstructured and semi-structurd 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
- 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, and resources and learning opportunities to explore