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💻Dynamic Programming and Greedy Algorithms Masterclass with Python hero

Level: Intermediate

💻Dynamic Programming and Greedy Algorithms Masterclass with Python

Trace and write recursive solutions, convert brute force into memoized and tabulated DP, recognize the major DP patterns on sight, choose correctly between greedy and DP, and ship a working Huffman file compressor.

5.0

3.6k+ learners

Duration

4 hr 15 min

Learners

3.6k+ Enrolled Students

Session Recording

Lifetime Access

Post Session

Mentor support

Session Schedule

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₹399

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Course Fee

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₹399

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Includes

• Expert Designed Curriculum

• Doubt Clearing Session

• Forever Community Access

After this course, you can

Solve DP problems confidently

Apply greedy strategies

Optimize recursive solutions

Crack coding interviews

Course Curriculum

Expand or explore the full learning path.

Lessons

Start here after enrolling. These lessons form the core learning path for the course.

Recursive Thinking: Base Case, Recursive Case, and Trusting the Leap of Faith

The Call Stack: What Python Actually Does When a Function Calls Itself

Divide & Conquer: Splitting Problems Until They Solve Themselves

Backtracking: Try, Fail, Undo, Try Again

Combination Sum and Word Search: Pruning the Search Tree

N-Queens: The Classic That Makes Backtracking Click

Overlapping Subproblems: Why Naive Recursion Explodes

Memoization: Caching Answers With a Dictionary and `@lru_cache`

Tabulation: Building the Answer Bottom-Up With a Table

State and Transitions: How to Define "What Am I Actually Computing?"

Space Optimization: When a Full Table Becomes Two Variables

A Repeatable 4-Step Recipe for Solving Any DP Problem

Fibonacci Three Ways: Naive, Memoized, Tabulated

Climbing Stairs: Your First "This Is Just Fibonacci in Disguise" Moment

House Robber: Choices, Constraints, and Max of Two Paths

Min Cost Climbing Stairs: Reading a Problem and Spotting the State

Practice Lab: Solving Fresh 1D Problems Using the Recipe

Unique Paths: Counting Routes Through a Grid

Minimum Path Sum: From Counting to Optimizing

Grids with Obstacles: Handling Edge Cases Without Tears

Building and Filling 2D Tables in Python the Right Way

Rolling Arrays: Shrinking a 2D Table Down to One Row

0/1 Knapsack: The Pattern Behind a Hundred Problems

Longest Common Subsequence: Comparing Two Strings With a Table

Longest Increasing Subsequence: O(n²) First, Then the Clever O(n log n)

Interval DP: Matrix Chain and Burst-Balloons Style Thinking

Tree DP: House Robber III and Recursion Meeting DP

Pattern-Matching Lab: Given a New Problem, Name Its Pattern

The Greedy Mindset: Local Best vs Global Best, and When Greedy Fails

Activity Selection & Interval Scheduling: Sort, Pick, Repeat

Jump Game: Greedy Reach vs DP, and Why Greedy Wins Here

Huffman Coding: Building a Compressor With a Heap

Greedy vs DP: A Decision Guide for Choosing Your Weapon

Mini Project: A Text File Compressor Using Huffman Coding

Live Session Content

This topic will be taught live in an interactive session, allowing you to engage with the instructor and ask questions in real time. While recordings will be available, attending live offers the best learning experience.

Post Session Study Material

This section will be unlocked after the session. You'll get access to exclusive bonus content, additional examples, and on-demand resources to support continuous learning and deeper understanding.

Daily DP Coding Practice

30 min

Complexity Analysis Exercises

25 min

DP Pattern Cheat Sheet

15 min

Problem Explanation Notes

20 min

Knapsack and Resource Optimization

45 min

Path Optimization Implementation

45 min

Scheduling Optimization Problems

45 min

DP Solution Documentation

30 min

Requirements

What you should have before starting the course.

Basic Python programming knowledge

Understanding of recursion

Familiarity with data structures

Willingness to solve coding problems

Tools you are going to use

C++

C++

Python

Python

Java

Java

Codeforces

Codeforces

LeetCode

LeetCode

Learn From Expert Instructor

Meet the mentors leading the live sessions.

Aarav Sharma

Aarav Sharma

Senior Frontend Engineer, StudioLabs

Aarav has mentored 1200+ learners and specializes in production UI systems and scalable frontend architecture.

LinkedIn
Ananya Mehta

Ananya Mehta

Design Technologist, CraftLabs

Ananya blends design and code to help learners ship portfolio-ready projects.

LinkedIn
Kabir Sayed

Kabir Sayed

Frontend Mentor, PixelWorks

Kabir focuses on clean code, accessibility, and practical frontend delivery.

LinkedIn

You should join this course if you

Students & Fresh Graduates

Build a strong portfolio

Learn from live mentors

Get feedback on your work

Working Professionals

Upgrade frontend skills

Ship real projects

Join a peer community

Career Switchers

Structured learning path

Hands-on practice

Guided sessions

Freelancers & Creators

Build client-ready sites

Improve delivery speed

Learn modern workflows

What you will get after completing this course

Completion certificate

Receive an official course completion certificate

Earn skill-focused feedback from mentors

Showcase your project in the Shattak community

Access lifetime notes and references

Stay connected with instructors for guidance

Completion bonus

Certificate access, community showcase, and lifetime mentor guidance.

Hear From Learners Who've Taken This Course

Honest feedback from learners who completed the live sessions.

4.8

24

Clear structure, solid examples, and a fast pace that keeps you engaged.

Riya Jain

Riya Jain

B.Tech, NIT Trichy

4.6

18

Practical sessions with feedback that helped improve my portfolio.

Kabir Singh

Kabir Singh

Frontend Intern, PixelWorks

4.9

12

Loved the structure and the live walkthroughs.

M

Meera Patel

Design Graduate

See what they have build

ZS

Zainab Shaikh

Portfolio Landing Page

Portfolio Landing Page

300 Likes

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DS

Devendra Singh

Product Marketing Site

Product Marketing Site

214 Likes

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NA

Nadia Ahmed

Interactive Web Story

Interactive Web Story

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Duration

4 hr 15 min

Get Life Time Access

₹0

₹399

100% off

Get Life Time Access

₹0

₹399

100% off