Artificial Intelligence Fundamentals
This micro-credential provides a foundational understanding of artificial intelligence, covering machine learning models, neural networks, and AI ethics. Learners will complete three core courses and apply AI principles to hands-on projects to earn the credential, preparing them for entry-level AI roles. To earn this badge, learners cannot miss more than 4 class sessions, complete and pass all 3 projects and 10 challenge assignments.
- Type Learning
- Level Foundational
- Time Months
- Cost Free
Skills
- AI Agents
- AI Ethics
- AI Model Development
- Artificial General Intelligence
- Artificial Intelligence (AI)
- Artificial Intelligence Applications
- Capstone Project Design
- Data Processing
- Machine Learning
- Model Training and Validation
- Natural Language Processing
- Neural Networks
- Predictive Analytics
- TensorFlow/PyTorch
Earning Criteria
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To earn the Artificial Intelligence Fundamentals badge, learners must first explore foundational AI concepts, including machine learning algorithms, neural networks, and natural language processing. As they progress, they will build AI models using popular tools such as TensorFlow or PyTorch, applying these models to solve real-world problems through datasets. They will apply machine learning techniques to train models, validate their performance, and fine-tune parameters to improve accuracy.