5.0
Course Rating
5.1k+
Learners
4 hr 15 min
Total Content
Beginner
Level
💻Graph Algorithms with Python BFS DFS Dijkstra and Minimum Spanning Trees
Master graph algorithms in Python: BFS, DFS, Dijkstra, and Minimum Spanning Trees, plus Union Find. Build a City Route Planner that finds shortest routes and detects unreachable zones. Just basic Python needed.
Lifetime Access
Learn anytime. No deadlines.
Session Recordings
Rewatch sessions and learn at your pace.
Mentor Support
Get guidance and clear your doubts.
Community Access
Learn, connect, and grow together.
Tools & Technologies You'll Use
C++
Python
Codeforces
LeetCode
HackerRank
Lifetime Access
Learn at your own pace, anytime, anywhere.
Certificate
Earn a verified certificate upon completion.
Hands-on Projects
Build real-world projects for your portfolio.
Mentor Support
Get guidance and clear your doubts.
Live Sessions Including
Topic Explanation
Learn concepts live with practical examples.
Doubt Clearing Sessions
Ask questions, clear doubts, and get help.
Hands-on Projects
Work on projects with guidance and support.
Mock Interview
Practise interviews and exchange feedback.
Session dates and times are scheduled based on community demand.
₹0
₹499
Discount 100% off
Course Fee
₹0
Worth of
₹499
Your Savings
100% Off
Benefits
Get Full Course Access
Earn a Verified Certificate
Pay as Much as You Wish
Risk-free. Start learning today!
After this course, you can
Implement graph algorithms
Find shortest paths efficiently
Build minimum spanning trees
Solve graph interview problems
Course Curriculum
Follow this structured learning path to build skills from beginner to advanced.
Lessons
Start here after enrolling. These lessons build your core foundation step by step.
What a Graph Really Is: Friends, Maps, and the Internet
14 min
Directed vs Undirected: One-Way Streets and Two-Way Friendships
16 min
Weighted Graphs: When Edges Have a Price
12 min
Adjacency Matrix: The Grid Approach, and Its Memory Cost
12 min
Adjacency List: The Dictionary Approach Python Loves
14 min
Build It: A Reusable Graph Class You'll Use All Course
16 min
Why Traversal Is the Heart of Every Graph Problem
13 min
BFS: Exploring Level by Level with a Queue
14 min
BFS in Python, Plus Shortest Path in Unweighted Graphs
16 min
DFS: Going Deep with Recursion and with a Stack
19 min
Visited Sets: The Bug Every Beginner Hits Once
12 min
BFS vs DFS: Picking the Right Tool
19 min
The Problem: What to Do First When Tasks Depend on Each Other
18 min
DAGs: Why Cycles Ruin Everything
13 min
Kahn's Algorithm: In-Degrees and the Queue
16 min
DFS Topological Sort: The Finish-Time Trick
12 min
Detecting Impossible Orderings (Cycle Detection as a Bonus)
17 min
Mini Project: A Course Prerequisite Planner
18 min
Why BFS Is Not Enough Once Weights Show Up
12 min
Dijkstra: The Greedy Classic with a Priority Queue
13 min
Bellman-Ford: Handling Negative Weights, Catching Negative Cycles
15 min
Floyd-Warshall: Every Pair at Once with 3 Loops
13 min
A*: Dijkstra with a Sense of Direction
17 min
Choosing the Right Algorithm: A Decision Cheat Sheet
17 min
The MST Problem: Wiring Cities Without Wasting Cable
18 min
Prim's Algorithm: Growing a Tree with a Heap
13 min
Disjoint Sets: The "Who's in Your Group" Structure
18 min
Union by Rank and Path Compression: Near-O(1) Magic
17 min
Kruskal's Algorithm: Sort Edges, Union Sets
16 min
Prim vs Kruskal, and Union Find Beyond MST
14 min
Connected Components: Counting Friend Circles
17 min
Cycle Detection: Directed vs Undirected, Two Different Tricks
17 min
Bipartite Graphs: The Two-Color Test
19 min
Grid and Island Problems: 2D Arrays Are Secretly Graphs
19 min
Pattern Recognition: Mapping a Problem to an Algorithm
12 min
Capstone: The City Route Planner
16 min
Live Session Recordings
LiveLearn live with instructors, ask questions, and get real-time guidance. Previous recordings are included.
Topic Explanation
Learn concepts live with practical examples and guidance.
Doubt Clearing Sessions
Ask questions, clear doubts, and get help when you need it.
Hands-on Projects
Work on projects with guidance and support from mentors.
Mock Interview
Practise interviews, exchange feedback, and build confidence.
Bonus Resources
Get bonus content and resources to practise, revise, and go deeper.
Study Materials
Cheat Sheets
Interview Q&A
PYQ PDFs
PPTs
Quizzes
Requirements
What you should have before starting the course.
Basic Python programming knowledge
Familiarity with basic data structures
Understanding of Big-O notation
Willingness to solve graph problems
Curriculum Designed & Verified by Industry Experts
Learn skills and concepts validated by industry professionals who use them in real-world work every day.
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.
LinkedInThis course is for you if you want to
Wherever you are in your journey, this course helps you learn, build, and grow with confidence.
Students & Fresh Graduates
Build a strong foundation and turn what you learn into practical experience.
Learn from beginner to advanced
Build real-world projects
Get feedback and improve
Working Professionals
Upgrade your skills and apply new knowledge directly in your career.
Learn in-demand skills
Apply directly to your work
Grow with practical knowledge
Career Switchers
Follow a clear path as you transition confidently into a new career.
Structured learning path
Hands-on practice
Mentor support at every step
Freelancers & Creators
Sharpen your craft and deliver better results for your clients and audience.
Work on client-ready projects
Improve efficiency and quality
Stay current with modern tools
For anyone who wants to learn, build, and grow. All you need is curiosity and a willingness to take the first step.
What you will get after completing this course
Receive an official course completion certificate
Live verification URL with PDF and downloadable option
Signed by your course designer and the Director of Shattak
Carries your name, course title, and completion date
Recruiters can check it in seconds from your LinkedIn or resume
Pay After Certification
Pay whatever you feel it is worth, only after you get certified. No questions asked.
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.
Learners
5,103+
Duration
4 hr 15 min
Get Life Time Access
₹0
₹499
100% off
Get Life Time Access
₹0
₹499
100% off