Course Announcement: GTx – Foundations of Generative AI
About Georgia Institute of Technology
Georgia Institute of Technology (GTx) is a leading research university known for its innovation in technology and engineering education. It offers online courses that combine rigorous academic standards with practical applications to equip learners worldwide with the skills needed to excel in emerging fields.
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GTx: Foundations of Generative AI
Learn the foundations of generative AI — how it works, why it matters, and how to move beyond basic use into practical integration through this artificial intelligence online course.
Course Overview:
This course provides an accessible yet comprehensive introduction to generative artificial intelligence. Organized into ten modules, it covers the evolution of AI from classical approaches to modern generative systems. Students will learn both theory and practical applications in business, education, software, and creative fields. Much of the instruction, exercises, and grading are AI-assisted, showcasing real-world applications of AI in learning.
What You'll Learn:
Historical evolution of AI: classical, statistical, and generative paradigms
Core principles of generative models and content creation
Key technical concepts: tokens, context windows, probability distributions
Neural network architectures: feedforward, convolutional, recurrent, and transformers
Attention mechanisms for long-range dependencies in text and image generation
Training, fine-tuning, and aligning AI models with human goals
Practical applications across multiple domains
Ethical considerations and responsible AI use
Hands-on experimentation with AI tools
Curriculum Highlights:
Module 0: Prologue and Analogy – AI avatars, course overview, and the automobile analogy
Module 1: A Brief History of AI – classical, statistical, and generative AI
Module 2: What Is Generative AI? – pattern completion, probabilistic creativity, examples
Module 3: Why Generative AI Matters – significance in human-computer interaction
Module 4: From Patterns to Predictions – tokens, context windows, next-token prediction
Module 5: Neural Networks and Their Evolution – feedforward, recurrent, convolutional
Module 6: Transformers and Generative Output – self-attention, positional encoding, decoding strategies
Module 7: Training Generative Models – stochastic gradient descent, data requirements
Module 8: Fine-Tuning Models – adapting models for specific tasks
Module 9: Aligning Generative AI – ethical alignment, reinforcement learning from human feedback
Course Details:
Starts: Dec 23, 2025
Ends: Feb 15, 2026
Duration: 3 weeks, 2-3 hours per week
Level: Introductory, no prior experience required
Format: Self-paced, online
Certificate: Earn a certificate upon completion
Enroll Here: Foundations of Generative AI