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Overview

What You Will Learn:

  • Understand how generative AI works – from neural networks to transformers like GPT and DALL·E.
  • Create content with AI tools – use platforms like ChatGPT, Midjourney, and Llama to write stories, design graphics, and generate music.
  • Analyze ethical and social implications – explore bias, misinformation, creativity, authorship, and responsible AI use.
  • Develop your own AI mini-project – pitch and present a creative application of generative AI to solve a real-world problem or express a unique idea.
  • Build foundational knowledge in machine learning concepts like training data, model outputs, and prompt engineering.

Prerequisites: Curious, Open to learning, Comfortable with basic use of computers

Tuition Fees: In-State: $400, Out-of-State: $1000

Agenda/Schedule

Week 1: Foundations of Machine Learning and AI
Session 1: Introduction to AI and Machine Learning
Session 2: How Machines Learn
Session 3: Data in Machine Learning
Session 4: Machine Learning with AWS
Session 5: Building Our First ML Model

Week 2: Generative AI and more
Session 6: Introduction to Generative AI
Session 7: Neural Networks and Deep Learning
Session 8: Natural Language Processing (NLP)
Session 9: Ethics and Societal Impact of AI
Session 10: Capstone Project and Showcase

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