Dynamic Programming - How AI Solves Complex Problems by Breaking Them Down

Public lesson preview

Understand memoisation, tabulation, and classic DP patterns used across AI and computer science.

Learning objectives

By the end of this lesson, you will understand:

• ✓The Big Idea
• ✓Fibonacci: The Classic Example
• ✓Classic DP Problems
• ✓Real AI Applications
• ✓Top-Down vs Bottom-Up

Lesson outline

1. The Big Idea
2. Fibonacci: The Classic Example
3. Naïve Recursion - O(2ⁿ)
4. Memoisation (Top-Down) - O(n)
5. Tabulation (Bottom-Up) - O(n)
6. Classic DP Problems
7. Climbing Stairs
8. Coin Change
9. Longest Common Subsequence (LCS)
10. Real AI Applications
11. Top-Down vs Bottom-Up
12. Key Takeaways