- Learning Path Libraries: This path is only available in the libraries listed. To access this path, purchase a license for the corresponding library.
- AI
AI: Foundations
This path introduces the core concepts of AI and builds practical understanding of the fundamentals: what AI is, how it works, and how AI can generate new text and images.
Learners then explore the architectures and techniques that enable systems to interpret data, automate decisions, and take action. Learners will also examine the realities of training AI like how data quality, scale, and bias impact performance and gain insight into the operational side of deploying and managing AI in the real-world.
By the end of this path, learners will understand the foundations of AI, be comfortable with common frameworks and models, and be prepared to explore specialized areas of AI and with confidence.
This learning path is actively in production. More content will be added to this page as it gets published and becomes available in the library. Planned content includes:
1. Introduction to Artificial Intelligence 2. AI Architecture and Methods 3. Data and the Realities of Training AI 4. AI Implementation and Operations 5. Real World AI Considerations
Content in this path
AI: Foundations
Watch the following courses to get learning about the Foundations of AI!
- How AI works at a foundational level, including its key concepts, terminology, and applications.
- How different AI architectures and methods function.
- How to prepare and manage data for AI.
- How to move AI from concept to production.
- How to address real-world considerations such as ethics, fairness, transparency, and organizational impact when building AI solutions.
- There are no prerequisites for this path.
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