Unit 1: Setting the Stage for Optimization
Unit 2: Unpacking Dynamic Programming's Core
Unit 3: The Cost of Naivety
Unit 4: From Inefficient to Intuitive
Intuitive Dynamic Programming & Greedy Algorithms for Interview Prep (8-Hour Mastery)
Master the art of Dynamic Programming and Greedy Algorithms, building strong intuition and practical problem-solving skills to ace your technical interviews.
Unit 1: The Need for Speed: Why Memoize?
Unit 2: Building Your First Memoized Solution
Unit 3: Applying Memoization to Classic Problems
Unit 4: Deep Dive into Memoization Mechanics
Unit 5: From Recursion to Top-Down DP
Unit 1: From Recursion to Iteration
Unit 2: Building Intuition with Simple Problems
Unit 3: Mastering DP Table Construction
Unit 4: Translating Between Approaches
Unit 1: DP on Sequences: The Basics
Unit 2: Decision-Making DP: Coin Problems
Unit 3: Knapsack Variations: The Core
Unit 4: Grid-Based DP & Paths
Unit 5: Longest Common Subsequence Family
Unit 1: Greedy vs. DP: The Core Difference
Unit 2: The Greedy Choice Property
Unit 3: Formulating Greedy Strategies
Unit 4: Local vs. Global Optima
Unit 1: The Art of Proving Greedy
Unit 2: Classic Advanced Greedy Problems
Unit 3: Advanced Greedy Applications
Unit 4: When Greedy Fails & Edge Cases
Unit 1: Multi-Dimensional DP & String Problems
Unit 2: Optimizing Space & Matrix DP
Unit 3: Tree Dynamic Programming
Unit 1: Strategic Problem Identification
Unit 2: DP Problem-Solving Drills
Unit 3: Greedy Problem-Solving Drills
Unit 4: Mixed Practice & Mock Interviews