5. How much time does the course demand, and what’s the learning effort like?

Q: 5. How much time does the course demand, and what’s the learning effort like?

Typical timeline : 2–3 weeks for core modules, followed by 6–8 weeks for the hands-on project. Course structure: Intro to Generative AI : 2–3 weeks—understanding fundamentals. Model types : 3–5 weeks—covering architectures like GANs, transformers, diffusion. Applications : 4–6 weeks—industry use cases and content creation. Ethics : 5–7 weeks—AI bias, privacy, regulation. Capstone project : 6–8 weeks—hands-on generative AI tool implementation.

Typical timeline: 2–3 weeks for core modules, followed by 6–8 weeks for the hands-on project.
Course structure:
Intro to Generative AI: 2–3 weeks—understanding fundamentals.
Model types: 3–5 weeks—covering architectures like GANs, transformers, diffusion.
Applications: 4–6 weeks—industry use cases and content creation.
Ethics: 5–7 weeks—AI bias, privacy, regulation.
Capstone project: 6–8 weeks—hands-on generative AI tool implementation.