- Focuses on prompt design for optimal AI outputs.
- Introduces API parameters, rate limiting, and monitoring for production.
- Limited coverage of offline fine-tuning or custom model training.
- Teaches practical approaches to maximize pre-trained model performance.
- Prepares learners to use Gemini effectively without deep ML expertise.
