Current
Beginner
Foundations of Generative AI
edX · Georgia Institute of Technology · Updated March 2026
Platform rating
4.5/5
AI Tutor Rating
8.3/10
Duration
3 weeks
Classes
12
Georgia Tech's introduction to generative AI covering LLMs, diffusion models, GANs, and practical applications of generative technology.
What you'll get
Understand generative AI architectures
Differentiate LLMs, GANs, and diffusion models
Evaluate generative AI applications
Apply responsible generative AI practices
Fit
Best for
Leaders
Analysts
Researchers
Decision-makers
Not ideal for
Experts seeking deep specialization
Prerequisites & pricing
Prerequisites
None
Pricing
Free (verified: $149)
Certification
Certificate
Growth Leverage: Completing the Foundations of Generative AI course opens opportunities for roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist in sectors like tech and healthcare. Additionally, it positions learners for certifications in advanced AI frameworks and tools, enhancing their credibility and marketability in the field.
Skills Value: The skills acquired enable graduates to implement cutting-edge generative AI solutions, solving problems in content creation, data synthesis, and model optimization. Given the rising demand for AI expertise, professionals in these roles can expect salary premiums of 10-20% compared to their non-specialized counterparts.
Generative AI
LLM
GANs
Diffusion Models
Georgia Tech