Generative

AI Foundations

Course Details

The journey starts with a foundational understanding of statistics, linear algebra, and data science. From there, the students will be guided through best-in-class content to learn tools such as linear regression, classification algorithms, and neural networks. The course ends with a capstone project exploring generative AI, teaching students how to build and implement their own AI powered chatbot. Throughout all of this, students will be taught to interactively write Python code to implement the algorithms they are exploring.

Students will explore the fundamentals of AI and the cutting-edge tech that is rapidly changing our world. They will collaborate with each other, mentors, and Pria in an online AI Lab. In the final project, students will build their own large language model using the skills and coding expertise they developed throughout the course. Qualifies for the Foundations of AI digital badge.

Journey Architecture

The online program is available 24x7x365 via any web browser or mobile device and includes four (4) learning paths, thirteen (13) lessons, and over fifty (50) hours of learning material. Below is a list of the main topics:

The learning paths have been organized into fundamental elements that coordinate the stages of learning. The first Learning Path, Water, gives students the foundational understanding necessary to progress in AI development. Students learn statistics, linear algebra, and data science techniques that are universal tools in Machine Learning. This is the root of information that AI technologies emerge from. The second Learning Path, Earth, takes each of these concepts and applies them to the most basic tools in machine learning that are crucial to understand. Students are led through interactive Python code, in which they are taught how to perform linear and logistic regression, K-nearest neighbors classification, principal component analysis (PCA), and dimensionality reduction techniques such as autoencoding.

The third Learning Path, Air, is dedicated to the ideas underlying the more advanced AI systems today such as neural networks and large language models. Finally, in the fourth Learning Path, Fire, students aggregate all of this knowledge to perform time-series analyses and create advanced generative AI models. This equips the students with a deep understanding of the mathematics and theory which underlie groundbreaking tech like ChatGPT in today’s world.

Skills and Resources

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