- Dedicate 4–6 hours weekly for modules and hands-on labs.
- Focus on one topic (DL, CNNs, RNNs, NLP, RL) per session.
- Incrementally build and test AI models for reinforcement.
- Document network architectures, hyperparameters, and code workflows.
- Review capstone projects and previous exercises to consolidate learning.
