Level: Beginner
Dynamic Programming for Optimization Problems
Solve complex optimization problems using dynamic programming patterns, memoization, tabulation, and interview-level problem frameworks.
4.9
3.6k+ learners
Duration
8 hr 45 min
Learners
3.6k+ Enrolled Students
Session Recording
Lifetime Access
Post Session
Mentor support
Session Schedule
20
Apr
Session 1 • Monday • 2h 15m
8:00 pm to 10:15 pm
25
Jul
Session 2 • Saturday • 2h 10m
10:00 am to 12:10 pm
26
Jul
Session 3 • Sunday • 2h 10m
2:00 pm to 4:10 pm
27
Jul
Session 4 • Monday • 2h 10m
8:00 pm to 10:10 pm
Get Life Time Access
₹899
₹1,299
Discount 30% off
Course Fee
₹899
Worth of
₹1,299
Discount
30% Off
Includes
• Expert Designed Curriculum
• Doubt Clearing Session
• Forever Community Access
Outcomes Of This Sessions
What you will build during the live classes.
About the Project
Master core dynamic programming concepts through structured problem-solving techniques. Learn to identify overlapping subproblems, design state transitions, and optimize time and space complexity. Build confidence solving advanced coding interview and competitive programming challenges.
See LiveAfter this course, you can
Build a responsive website from scratch
Publish a project to your GitHub portfolio
Master HTML, CSS, and layout systems
Showcase a live project to recruiters
Course Curriculum
Expand or explore the full learning path.
Pre-Requisites Content
Complete this section before the live session to get the most out of the course. You'll unlock this content immediately after enrolling.
Variables and Control Structures
25 min
Functions and Recursion Basics
30 min
Arrays and String Handling
25 min
Understanding Time Complexity
25 min
Big O Notation Introduction
20 min
Basic Problem Solving Strategies
25 min
Arrays and Matrices
20 min
Stacks and Queues Basics
25 min
Basic Hashing Concepts
20 min
Using Online Coding Platforms
15 min
IDE Setup and Debugging Basics
20 min
Version Control Basics
20 min
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.
What is Dynamic Programming
45 min
Recursion vs Dynamic Programming
40 min
Identifying Overlapping Subproblems
35 min
DP Problem Solving Mindset
40 min
Top Down Approach Memoization
45 min
Bottom Up Tabulation
40 min
State Definition Techniques
35 min
Transition Formula Design
40 min
Fibonacci and Climbing Stairs
40 min
Knapsack Problem
45 min
Longest Common Subsequence
45 min
Grid Based DP Problems
40 min
Subset and Partition Problems
45 min
DP on Strings
40 min
Optimization Techniques
35 min
Space Optimization Methods
40 min
Path Optimization Problems
45 min
Scheduling Optimization Problems
40 min
Common Interview DP Patterns
45 min
Final Problem Set Implementation
45 min
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 programming knowledge in Python or C++ or Java
Understanding of recursion concepts
Access to coding platform such as LeetCode or HackerRank
Computer with IDE or code editor installed
Willingness to solve algorithmic problems regularly
Basic understanding of data structures
Tools you are going to use
C++
Python
Java
Codeforces
LeetCode
Learn From Expert Instructor
Meet the mentors leading the live sessions.
Aarav Sharma
Senior Frontend Engineer, StudioLabs
Aarav has mentored 1200+ learners and specializes in production UI systems and scalable frontend architecture.
LinkedIn
Ananya Mehta
Design Technologist, CraftLabs
Ananya blends design and code to help learners ship portfolio-ready projects.
LinkedIn
Kabir Sayed
Frontend Mentor, PixelWorks
Kabir focuses on clean code, accessibility, and practical frontend delivery.
LinkedInYou 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
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
B.Tech, NIT Trichy
4.6
18
Practical sessions with feedback that helped improve my portfolio.
Kabir Singh
Frontend Intern, PixelWorks
4.9
12
Loved the structure and the live walkthroughs.
M
Meera Patel
Design Graduate
Join Our Community, Ask Questions
Frequently Asked Questions
Students, working professionals, and career switchers who want to build job-ready web projects.
Basic familiarity with HTML or CSS is helpful, but the course includes beginner-friendly guidance.
Yes, recordings are shared after each live session.
Mentors provide live feedback and follow-up notes during the sessions.
Yes, you can ask questions in the community group and during live office hours.
Starting From
20 Apr - 8:00 pm
Live Session
8Hr 45Min
Get Life Time Access
INR 899
INR 1,299
30% off
Get Life Time Access
INR 899
INR 1,299
30% off