Explore AI algorithms, research learning types, analyze apps, invest in deep learning, ethical/legal implications, impl. RL, NL processing, tools/techniques, ML/DM contrast, role in equitable/fair soc.

1. Explain the basics of AI algorithms and architectures.
2. Research the types of supervised and unsupervised learning.
3. Analyze real-world applications of AI.
4. Investigate the potential of deep learning.
5. Understand the ethical and legal implications of AI.
6. Implement reinforcement learning techniques.
7. Study the various methods of natural language processing.
8. Utilize the tools and techniques for developing AI models.
9. Contrast machine learning and data mining.
10. Appreciate the role of AI in creating a more equitable and fair society.