1. What should I expect in terms of time commitment and course structure?

Q: 1. What should I expect in terms of time commitment and course structure?

The course consists of 3 modules spread across 3 weeks , with a workload of approximately 5–10 hours per week —totaling around 16 hours . Module breakdown : Week 1 (≈5 h) : Generative AI use cases, project lifecycle, and model pre-training. Week 2 (≈8 h) : Fine-tuning and evaluating large language models. Week 3 (≈10 h) : Reinforcement learning and LLM-powered applications. It's self-paced , allowing you to adapt the timeline to your schedule. Offers flexibility to complete it faster if you're able, or spread it out more slowly if needed.

The course consists of 3 modules spread across 3 weeks, with a workload of approximately 5–10 hours per week—totaling around 16 hours.
Module breakdown:
- Week 1 (≈5 h): Generative AI use cases, project lifecycle, and model pre-training.
- Week 2 (≈8 h): Fine-tuning and evaluating large language models.
- Week 3 (≈10 h): Reinforcement learning and LLM-powered applications.
It’s self-paced, allowing you to adapt the timeline to your schedule.
Offers flexibility to complete it faster if you’re able, or spread it out more slowly if needed.