Computer Science & Interview Preparation
Complete Data Structures & Algorithms Masterclass
From Zero to FAANG Interview Ready in 6 Months
Ready to Master Complete Data Structures & Algorithms Masterclass - Interview Ready?
Choose your plan and start your journey into the future of technology today.
Program Overview
This intensive 6-month program transforms beginners into expert problem solvers capable of cracking top tech company interviews. Master every data structure from arrays to advanced graphs, learn algorithmic thinking, dynamic programming, and solve 500+ carefully curated problems.
You'll build strong foundations in complexity analysis, implement data structures from scratch, master recursion and backtracking, conquer dynamic programming, and develop the problem-solving skills needed for competitive programming and technical interviews.
What Makes This Program Different
- Learn by implementing from scratch
- 500+ hand-picked problems with video solutions
- Pattern-based learning approach
- Interview-focused curriculum
- Live problem-solving sessions
- Mock interviews with feedback
- Company-specific preparation tracks
- Competitive programming included
Your Learning Journey
Phase 1
Foundation (Months 1-2): Arrays, Strings, Linked Lists, Stacks, Queues, Basic Algorithms
Phase 2
Intermediate (Months 3-4): Trees, Graphs, Heaps, Hashing, Advanced Sorting, Searching
Phase 3
Advanced (Months 5-6): Dynamic Programming, Advanced Graphs, System Design, Interview Mastery
Career Progression
1
Ready for Junior Developer interviews (after 2 months)
2
Competitive Programming participant (after 3 months)
3
Mid-level interview ready (after 4 months)
4
FAANG interview ready (after 6 months)
Detailed Course Curriculum
Explore the complete week-by-week breakdown of what you'll learn in this comprehensive program.
📚 Topics Covered
- Course introduction and roadmap
- Setting up coding environment (VS Code, online judges)
- Introduction to problem-solving approach
- Time complexity and Big O notation
- Space complexity analysis
- Best, average, and worst case analysis
- Common complexity classes: O(1), O(log n), O(n), O(n log n), O(n²)
- Analyzing nested loops
- Recursion complexity analysis
- Amortized analysis basics
🚀 Projects
- Complexity analyzer tool
- Problem-solving template creator
- Personal progress tracker
💪 Practice
Analyze complexity of 50 code snippets
📚 Topics Covered
- Static vs dynamic arrays
- Array operations and complexity
- Two-pointer technique
- Sliding window technique
- Prefix sum arrays
- Kadane's algorithm
- Moore's voting algorithm
- String manipulation techniques
- String matching algorithms
- KMP algorithm basics
🚀 Projects
- Array manipulation library
- String utilities toolkit
- Pattern matching visualizer
💪 Practice
Solve 40 array/string problems
📚 Topics Covered
- Singly linked list implementation
- Doubly linked list
- Circular linked list
- Fast and slow pointer technique
- Floyd's cycle detection
- Linked list reversal (iterative and recursive)
- Merge operations on linked lists
- Recursion fundamentals
- Base case and recursive case
- Call stack and memory
🚀 Projects
- Linked list library from scratch
- Recursion visualizer
- Memory stack simulator
💪 Practice
Implement 25 linked list operations
📚 Topics Covered
- Stack implementation using array and linked list
- Stack applications: expression evaluation, parentheses matching
- Infix to postfix conversion
- Queue implementation: array-based and linked list
- Circular queue implementation
- Deque (double-ended queue)
- Priority queue basics
- Monotonic stack patterns
- Monotonic queue patterns
- Stack and queue in recursion
🚀 Projects
- Expression evaluator
- Browser history simulator
- Task scheduler with priority queue
💪 Practice
Build 20 stack/queue applications
📚 Topics Covered
- Linear search and optimizations
- Binary search deep dive
- Binary search on answer
- Search in rotated sorted array
- Finding boundaries with binary search
- Ternary search
- Exponential search
- Jump search
- Interpolation search
- Search in 2D matrices
🚀 Projects
- Search algorithm visualizer
- Binary search template library
- Search complexity analyzer
💪 Practice
Solve 30 binary search problems
📚 Topics Covered
- Bubble sort and optimizations
- Selection sort analysis
- Insertion sort and when to use
- Merge sort implementation
- Quick sort and partitioning
- Randomized quick sort
- Heap sort preview
- Counting sort for integers
- Radix sort implementation
- Bucket sort technique
🚀 Projects
- Sorting visualizer application
- Hybrid sorting algorithm
- Performance comparison tool
💪 Practice
Implement all sorting algorithms
📚 Topics Covered
- Hash function design
- Collision resolution: chaining vs open addressing
- Load factor and rehashing
- Hash table implementation from scratch
- Hash map vs hash set
- Rolling hash technique
- Consistent hashing basics
- Bloom filters introduction
- Hash table patterns in problems
- Two-sum pattern and variations
🚀 Projects
- Custom hash table implementation
- LRU cache implementation
- Distributed hash table simulator
💪 Practice
Solve 35 hashing problems
📚 Topics Covered
- Binary number system review
- Bitwise operators: AND, OR, XOR, NOT
- Left shift and right shift
- Bit manipulation tricks
- Setting, clearing, toggling bits
- Counting set bits
- Power of 2 checks
- XOR properties and applications
- Bit masking techniques
- GCD and LCM algorithms
🚀 Projects
- Bit manipulation toolkit
- Number theory library
- Cryptography basics implementation
💪 Practice
Master 25 bit manipulation techniques
📚 Topics Covered
- Review of all basic data structures
- Complexity analysis mastery check
- Problem-solving patterns review
- Mock interview problems
- Code quality and optimization
🚀 Projects
- CAPSTONE: Build Your Own STL
- Implement vector, list, stack, queue, unordered_map from scratch
- Include iterators and common algorithms
🎯 Assessment
Phase 1 Exam - 10 problems in 3 hours
📚 Topics Covered
- Tree terminology and properties
- Binary tree representation
- Tree traversals: inorder, preorder, postorder
- Level order traversal (BFS)
- Recursive vs iterative traversals
- Morris traversal (O(1) space)
- Tree construction from traversals
- Diameter, height, and width of tree
- Path sum problems
- Lowest Common Ancestor (LCA)
🚀 Projects
- Binary tree visualizer
- Tree traversal animator
- Tree problem solver toolkit
💪 Practice
Solve 40 binary tree problems
📚 Topics Covered
- BST properties and operations
- BST insertion and deletion
- BST validation and searching
- Inorder successor and predecessor
- Convert sorted array to BST
- Self-balancing trees introduction
- AVL tree rotations
- AVL tree implementation
- Red-Black tree basics
- B-trees and B+ trees overview
🚀 Projects
- BST implementation with all operations
- AVL tree from scratch
- Range query data structure
💪 Practice
Implement 20 BST operations
📚 Topics Covered
- Heap properties: min-heap and max-heap
- Heap implementation using array
- Heapify operation and complexity
- Heap sort implementation
- Priority queue operations
- Binary heap vs Fibonacci heap
- K-way merge using heaps
- Median finding with two heaps
- Top K elements pattern
- Heap applications in algorithms
🚀 Projects
- Heap implementation from scratch
- Task scheduler with priority
- Real-time median finder
💪 Practice
Master 25 heap problems
📚 Topics Covered
- Trie data structure implementation
- Trie insertion, search, and deletion
- Prefix matching with tries
- Auto-complete functionality
- Word search in matrix using trie
- Suffix trees and arrays basics
- N-ary tree operations
- Quad trees and Oct trees
- K-d trees for spatial data
- Disjoint Set Union (DSU/Union-Find)
🚀 Projects
- Autocomplete system
- Spell checker implementation
- Contact list with search
💪 Practice
Build 15 trie applications
📚 Topics Covered
- Trees and graphs review
- Advanced data structures check
- Pattern recognition in problems
- Optimization techniques
- Mock technical interview
🚀 Projects
- MAJOR CAPSTONE: LeetCode Clone
- Build online judge with problem bank, test cases, and submission system
- Include leaderboard and contest functionality
🎯 Assessment
Phase 2 Exam - 8 problems in 3 hours
📚 Topics Covered
- Graph representations: adjacency matrix vs list
- Directed vs undirected graphs
- Weighted vs unweighted graphs
- Graph properties: connected, cyclic, bipartite
- Depth-First Search (DFS) implementation
- Breadth-First Search (BFS) implementation
- DFS applications: cycle detection, topological sort
- BFS applications: shortest path, level order
- Connected components finding
- Strongly connected components (Kosaraju's, Tarjan's)
🚀 Projects
- Graph visualizer with traversals
- Social network analyzer
- Maze solver with BFS/DFS
💪 Practice
Solve 35 graph traversal problems
📚 Topics Covered
- Dijkstra's algorithm implementation
- Dijkstra's with priority queue
- Bellman-Ford algorithm
- Negative weight cycles detection
- Floyd-Warshall algorithm
- A* search algorithm basics
- Shortest path in DAG
- Single source vs all pairs
- Path reconstruction techniques
- Multi-source BFS
🚀 Projects
- Route finder application
- Navigation system simulator
- Network routing optimizer
💪 Practice
Implement all shortest path algorithms
📚 Topics Covered
- Minimum Spanning Tree (MST) concept
- Kruskal's algorithm with DSU
- Prim's algorithm implementation
- Applications of MST
- Network flow introduction
- Ford-Fulkerson method
- Maximum flow problem
- Minimum cut theorem
- Bipartite matching
- Hungarian algorithm basics
🚀 Projects
- Network designer tool
- Resource allocation system
- Matching algorithm implementation
💪 Practice
Solve 20 MST and flow problems
📚 Topics Covered
- Topological sorting variations
- Cycle detection in directed/undirected graphs
- Bipartite graph checking and coloring
- Eulerian path and circuit
- Hamiltonian path problem
- Graph dynamic programming
- Tree DP on graphs
- Centroid decomposition basics
- Heavy-light decomposition intro
- Graph compression techniques
🚀 Projects
- Dependency resolver
- Circuit board router
- Tournament scheduler
💪 Practice
Master 25 advanced graph patterns
📚 Topics Covered
- KMP algorithm implementation
- Z-algorithm for pattern matching
- Rabin-Karp with rolling hash
- Boyer-Moore algorithm
- Suffix arrays construction
- Longest Common Prefix array
- Manacher's algorithm for palindromes
- Edit distance algorithms
- Longest common subsequence/substring
- String hashing techniques
🚀 Projects
- Text editor with find/replace
- Plagiarism detector
- DNA sequence analyzer
💪 Practice
Implement 15 string algorithms
📚 Topics Covered
- Introduction to dynamic programming
- Recursion to DP transition
- Memoization techniques
- Top-down vs bottom-up approach
- 1D DP patterns
- State definition in DP
- Fibonacci variations
- Climbing stairs variations
- House robber pattern
- Jump game problems
🚀 Projects
- DP visualizer tool
- Recursion tree analyzer
- DP pattern identifier
💪 Practice
Solve 40 basic DP problems
📚 Topics Covered
- 2D DP table construction
- Grid-based DP problems
- Path counting in grids
- Longest common subsequence
- Edit distance problem
- 0/1 Knapsack problem
- Unbounded knapsack
- Subset sum problems
- Matrix chain multiplication
- Palindrome partitioning
🚀 Projects
- Sequence alignment tool
- Knapsack optimizer
- Pattern matcher implementation
💪 Practice
Master 35 2D DP problems
📚 Topics Covered
- State machine DP
- DP on trees
- DP with bitmasking
- Digit DP technique
- Probability DP
- Game theory and DP
- Interval DP pattern
- String DP problems
- DP optimization techniques
- Convex hull trick
🚀 Projects
- Stock trading simulator with DP
- Game AI using minimax
- Optimal strategy finder
💪 Practice
Solve 30 advanced DP problems
📚 Topics Covered
- Greedy algorithm principles
- When greedy works: proof techniques
- Activity selection problem
- Huffman coding
- Fractional knapsack
- Job scheduling problems
- Interval scheduling maximization
- Minimum platforms problem
- Gas station circuit problem
- Jump game greedy approach
🚀 Projects
- Task scheduler optimizer
- Huffman compression tool
- Resource allocator
💪 Practice
Master 25 greedy problems
📚 Topics Covered
- Backtracking fundamentals
- State space tree
- N-Queens problem
- Sudoku solver
- Subset generation
- Permutation generation
- Combination sum problems
- Word search in grid
- Graph coloring with backtracking
- Branch and bound technique
🚀 Projects
- Sudoku solver application
- N-Queens visualizer
- Constraint satisfaction solver
💪 Practice
Implement 20 backtracking solutions
📚 Topics Covered
- Divide and conquer mastery
- Master theorem for recurrence
- Fast Fourier Transform basics
- Karatsuba multiplication
- Strassen's matrix multiplication
- Closest pair of points
- Convex hull algorithms
- Line sweep technique
- Mo's algorithm basics
- Square root decomposition
🚀 Projects
- Computational geometry library
- Big integer calculator
- Algorithm complexity analyzer
💪 Practice
Implement 15 advanced algorithms
📚 Topics Covered
- System design interview approach
- Scalability basics
- Load balancing concepts
- Caching strategies
- Database design basics
- SQL vs NoSQL
- Microservices overview
- API design principles
- Rate limiting algorithms
- Consistent hashing
🚀 Projects
- URL shortener design
- Rate limiter implementation
- Simple cache system
💪 Practice
Design 10 systems
📚 Topics Covered
- Competitive programming platforms
- Contest strategies and time management
- Fast I/O techniques
- Template preparation
- Common CP patterns
- Number theory for CP
- Combinatorics in problems
- Game theory basics
- Interactive problems
- Debugging techniques
🚀 Projects
- CP template library
- Contest simulator
- Test case generator
💪 Practice
Participate in 10 contests
📚 Topics Covered
- Interview preparation strategy
- Company-specific preparation
- Behavioral interview questions
- STAR method for answers
- System design interview practice
- Coding interview best practices
- Whiteboard coding techniques
- Communication during interviews
- Handling difficult problems
- Time management in interviews
🚀 Projects
- Interview preparation checklist
- Behavioral answer bank
- Company research template
💪 Practice
Complete 20 mock interviews
📚 Topics Covered
- Comprehensive review
- Weak area identification
- Advanced problem solving
- Speed coding practice
- Final mock interviews
🚀 Projects
- MAJOR CAPSTONE: Algorithm Visualizer Platform
- Build interactive platform with 50+ algorithm visualizations
- Include step-by-step execution and complexity analysis
🎯 Assessment
Final Exam - 6 problems in 3 hours (FAANG level)
📚 Topics Covered
- Google interview process overview
- Google's evaluation criteria
- Googliness and Leadership
- Common Google problem patterns
- Array and string manipulation focus
- Graph algorithms emphasis
- Dynamic programming at Google
- System design at Google scale
- Google coding style guide
- Time complexity requirements
🚀 Projects
- Google-style problem solver
- MapReduce implementation
- PageRank algorithm
💪 Practice
Solve 50 Google tagged problems
📚 Topics Covered
- Amazon interview process
- Leadership Principles deep dive
- Amazon problem-solving approach
- Object-oriented design at Amazon
- Scalability focus
- Two-pointer and sliding window emphasis
- Tree and graph problems
- Amazon system design topics
- Working backwards methodology
- Bar raiser round preparation
🚀 Projects
- E-commerce system design
- Recommendation engine
- Warehouse robot pathfinding
💪 Practice
Solve 50 Amazon tagged problems
📚 Topics Covered
- Meta interview structure
- Ninja, Pirate, Jedi expectations
- Meta's focus areas
- Array and string heavy problems
- BFS/DFS variations
- Dynamic programming patterns
- Design Facebook features
- Meta's behavioral assessment
- Move fast philosophy
- Impact-focused answers
🚀 Projects
- Social network features
- News feed algorithm
- Friend recommendation system
💪 Practice
Solve 50 Meta tagged problems
📚 Topics Covered
- Microsoft interview approach
- Problem-solving communication
- Microsoft stack questions
- Linked list and tree focus
- String manipulation problems
- Apple interview process
- Quality and attention to detail
- iOS/macOS specific questions
- Design patterns emphasis
- Both companies' behavioral focus
🚀 Projects
- Operating system scheduler
- File system design
- Music streaming service
💪 Practice
Solve 40 MS/Apple problems
📚 Topics Covered
- Startup interview differences
- Full-stack expectations
- Practical coding tests
- Take-home assignments
- System design for startups
- Real-world problem solving
- API design and implementation
- Database design questions
- DevOps and deployment
- Startup culture fit
🚀 Projects
- MVP product design
- Real-time collaboration tool
- Payment processing system
💪 Practice
Complete 3 take-home projects
📚 Topics Covered
- Multi-threaded programming problems
- Concurrency and locks
- Design patterns in problems
- Object-oriented design problems
- Database query problems
- SQL in interviews
- Machine learning basics for interviews
- Security-related problems
- Cryptography basics
- Blockchain basic problems
🚀 Projects
- Thread-safe data structures
- Distributed lock manager
- Real-time chat system
💪 Practice
Solve 30 advanced mixed problems
📚 Topics Covered
- Full day interview simulation
- Multiple rounds back-to-back
- Phone screen practice
- Technical rounds practice
- System design rounds
- Behavioral rounds
- Hiring manager rounds
- Lunch interview practice
- Stress management techniques
- Energy management
🚀 Projects
- Complete interview portfolio
- Problem solution database
- Personal story bank
💪 Practice
5 full interview simulations
📚 Topics Covered
- Technical communication skills
- Explaining complex concepts simply
- Asking clarifying questions
- Requirements gathering
- Trade-off discussions
- Collaborative problem solving
- Handling hints effectively
- Dealing with stuck situations
- Time management during interviews
- Body language and confidence
🚀 Projects
- Technical presentation
- Code review exercise
- Team project simulation
💪 Practice
Record and review 10 problem explanations
📚 Topics Covered
- Job search strategies
- Resume optimization for ATS
- LinkedIn profile optimization
- Cover letter writing
- Portfolio website creation
- GitHub profile enhancement
- Networking strategies
- Referral seeking techniques
- Offer evaluation framework
- Salary negotiation tactics
🚀 Projects
- Professional portfolio website
- Optimized resume versions
- LinkedIn article publishing
💪 Practice
Apply to 20 positions strategically
📚 Topics Covered
- Final assessment preparation
- Comprehensive review
- Weak area strengthening
- Success stories sharing
- Alumni network introduction
- Continued learning resources
- Community building
- Mentorship opportunities
- Interview scheduling tips
- First day preparation
🚀 Projects
- FINAL CAPSTONE PRESENTATION
- Complete DSA learning platform showcase
- 500+ problems solved portfolio
🎯 Assessment
Final Certification Exam - Comprehensive DSA assessment
📚 Topics Covered
- ML algorithms basics
- K-means clustering
- KNN implementation
- Decision trees basics
- Linear regression
- Gradient descent
- Neural network basics
- Feature engineering
- Cross-validation
- Confusion matrix
🚀 Projects
- Simple ML classifier
- Recommendation system
- Anomaly detection
💪 Practice
Implement 10 ML algorithms
📚 Topics Covered
- Parallel algorithm design
- MapReduce paradigm
- Distributed sorting
- Consensus algorithms
- Leader election
- Distributed hash tables
- Consistent hashing implementation
- Gossip protocols
- Vector clocks
- CAP theorem deep dive
🚀 Projects
- MapReduce framework
- Distributed cache
- Consensus protocol
💪 Practice
Design 5 distributed systems
📚 Topics Covered
- Cryptographic hash functions
- SHA implementation
- Public key cryptography basics
- RSA algorithm basics
- Digital signatures
- Merkle trees
- Blockchain fundamentals
- Security in algorithms
- Side-channel attacks
- Secure coding practices
🚀 Projects
- Simple blockchain
- Password manager
- Encryption tool
💪 Practice
Implement 5 security algorithms
📚 Topics Covered
- Quantum computing introduction
- Qubits and superposition
- Quantum gates
- Shor's algorithm overview
- Grover's algorithm basics
- Quantum complexity classes
- BQP vs NP
- Quantum supremacy
- Current limitations
- Future of quantum algorithms
🚀 Projects
- Quantum circuit simulator
- Grover's algorithm demo
- Quantum concepts visualizer
💪 Practice
Explore 5 quantum algorithms
📚 Topics Covered
- Reading research papers
- Latest algorithmic advances
- Contributing to research
- Open problems in CS
- P vs NP introduction
- Approximation algorithms
- Randomized algorithms advanced
- Online algorithms
- Streaming algorithms
- External memory algorithms
🚀 Projects
- Research paper implementation
- Novel algorithm proposal
- Optimization improvement
💪 Practice
Read and implement 3 research papers
📚 Topics Covered
- Rating improvement strategies
- Div 1 problem approaches
- Speed coding techniques
- Virtual contest practice
- Editorial understanding
- Solution optimization
- Test case debugging
- Hacks and challenges
- Community interaction
- Becoming red coder
🚀 Projects
- Reach Expert on Codeforces
- TopCoder rating goals
- Solution archive
💪 Practice
Daily practice routine
📚 Topics Covered
- Google Code Jam preparation
- Kick Start strategies
- Hash Code team formation
- Problem analysis techniques
- Optimization strategies
- Large dataset handling
- Distributed Code Jam
- Time management
- Solution verification
- Post-contest analysis
🚀 Projects
- Code Jam qualification
- Kick Start ranking improvement
- Hash Code team project
💪 Practice
Past years' problems
📚 Topics Covered
- Team formation strategies
- Role distribution
- Problem categorization
- Speed solving techniques
- Team communication
- Contest strategy
- Regional preparation
- World Finals level problems
- Geometry problems
- Number theory advanced
🚀 Projects
- Team practice sessions
- Mock ICPC contests
- Solution notebook
💪 Practice
Weekly team contests
📚 Topics Covered
- Finding algorithm projects
- Understanding large codebases
- Contributing guidelines
- Pull request best practices
- Code review participation
- Documentation improvements
- Bug fixes and features
- Test case contributions
- Performance improvements
- Algorithm library development
🚀 Projects
- Contribute to 5 projects
- Start algorithm library
- Maintain DSA resource
💪 Practice
Monthly contributions
📚 Topics Covered
- Creating educational content
- YouTube channel strategies
- Blog writing for algorithms
- Course creation basics
- Mentoring beginners
- Code review skills
- Problem explanation techniques
- Visual content creation
- Building community
- Monetization options
🚀 Projects
- Algorithm blog/channel
- Mentorship program
- Educational platform
💪 Practice
Weekly content creation
📚 Topics Covered
- Real-world optimizations
- A/B testing algorithms
- Performance monitoring
- Algorithm metrics
- Debugging production issues
- Scaling algorithms
- Caching strategies
- Database query optimization
- API algorithm design
- Microservices algorithms
🚀 Projects
- Production algorithm suite
- Performance dashboard
- Optimization toolkit
💪 Practice
Optimize 10 production systems
📚 Topics Covered
- PhD opportunities
- Research areas in algorithms
- Publishing papers
- Conference participation
- Grant writing basics
- Collaboration strategies
- Patent considerations
- Industry R&D roles
- Innovation frameworks
- Emerging technologies
🚀 Projects
- Research proposal
- Paper submission
- Patent application
💪 Practice
Research contribution
📚 Topics Covered
- Algorithm-based startups
- Identifying opportunities
- MVP development
- Technical co-founder role
- Funding strategies
- Patent strategies
- Building tech team
- Scaling challenges
- Algorithm as service
- Consulting opportunities
🚀 Projects
- Startup idea validation
- MVP development
- Business plan
💪 Practice
Build startup prototype
📚 Topics Covered
- Bioinformatics algorithms
- Financial algorithms
- Gaming algorithms
- Robotics algorithms
- Computer vision algorithms
- NLP algorithms
- Recommendation systems
- Search engine algorithms
- Blockchain algorithms
- IoT algorithms
🚀 Projects
- Domain-specific project
- Industry collaboration
- Specialized certification
💪 Practice
Explore 3 domains deeply
📚 Topics Covered
- Staying updated
- Annual learning goals
- Skill assessment methods
- New language learning
- Framework exploration
- Conference attendance
- Network building
- Mentorship circles
- Personal branding
- Knowledge sharing
🚀 Projects
- 5-year learning roadmap
- Annual review system
- Knowledge repository
💪 Practice
Continuous improvement
📚 Topics Covered
- Book recommendations
- Online course platforms
- YouTube channels
- Podcasts for algorithms
- Research paper sources
- Practice platforms
- Visualization tools
- IDE and tools setup
- Chrome extensions
- Mobile apps for practice
🚀 Projects
- Personal resource library
- Tool configuration
- Study material organization
💪 Practice
Resource curation
📚 Topics Covered
- Discord/Slack communities
- Local meetup groups
- Online study groups
- Accountability partners
- Code review groups
- Mock interview circles
- Competitive programming teams
- Open source communities
- Alumni networks
- Professional associations
🚀 Projects
- Join 5 communities
- Start local chapter
- Organize meetup
💪 Practice
Active participation
📚 Topics Covered
- Progress tracking methods
- Skill assessment tools
- Interview success rate
- Problem-solving speed
- Contest rankings
- GitHub contributions
- Teaching effectiveness
- Career progression
- Salary benchmarks
- Personal satisfaction
🚀 Projects
- Personal dashboard
- Progress tracker
- Achievement portfolio
💪 Practice
Monthly assessments
📚 Topics Covered
- Alumni benefits
- Networking events
- Job referrals
- Mentorship program
- Guest lectures
- Industry connections
- Startup collaborations
- Research partnerships
- Continuous education
- Exclusive resources
🚀 Projects
- Alumni profile
- Contribution plan
- Network expansion
💪 Practice
Stay connected
📚 Topics Covered
- Time complexity table
- Space complexity reference
- Common patterns list
- Problem approach templates
- Edge cases checklist
- Testing strategies
- Communication tips
- Behavioral answers
- System design checklist
- Company research template
🚀 Projects
- Personal cheat sheet
- Interview toolkit
- Quick reference guide
📚 Topics Covered
- Array problems list
- String problems list
- Tree problems list
- Graph problems list
- DP problems list
- Heap problems list
- Greedy problems list
- Backtracking list
- Bit manipulation list
- Math problems list
📚 Topics Covered
- First job preparation
- 3-month goals
- 6-month targets
- 1-year objectives
- Promotion criteria
- Skill development
- Leadership growth
- Technical expertise
- Domain knowledge
- Compensation growth
🎯 Assessment
LIFETIME ACCESS - Continuous support and updates
Projects You'll Build
Build a professional portfolio with 15+ major projects and 100+ mini implementations real-world projects.
Phase 1: Data Structure Library, Algorithm Visualizer, Complexity Analyzer
Phase 2: Graph Algorithms Suite, DP Problem Solver, String Processor
Phase 3: LeetCode Clone, Interview Prep Platform, Contest Simulator
Final: Complete DSA Learning Platform with 500+ Problems
Weekly Learning Structure
Theory Videos
5-6 hours
Problem Solving
8-10 hours
Implementation
3-4 hours
Mock Interviews
2-3 hours
Total Per Week
15-20 hours
Certification & Recognition
Phase Certificates
Certificate after each phase
Final Certificate
DSA Mastery & Interview Ready Certification
Linkedin Badge
Verifiable LinkedIn credential
Industry Recognized
Recognized by tech companies
Portfolio Projects
500+ solved problems portfolio
Technologies & Skills You'll Master
Comprehensive coverage of the entire modern web development stack.
Data Structures
Arrays, Linked Lists, Trees, Graphs, Heaps, Tries, Advanced Trees
Algorithms
Sorting, Searching, Graph Algorithms, DP, Greedy, Backtracking
Techniques
Two Pointers, Sliding Window, Fast-Slow, Divide & Conquer
Analysis
Time/Space Complexity, Amortized Analysis, Proof Techniques
Problem Solving
Pattern Recognition, Edge Cases, Optimization
Interview Skills
Communication, System Design, Behavioral Responses
Competitive Programming
Contest Strategies, Speed Coding, Debugging
Languages
Primary (Python/C++/Java), Secondary (JavaScript)
Tools
LeetCode, HackerRank, Codeforces, Git, VS Code, Debuggers
Support & Resources
Live Sessions
Weekly problem-solving sessions
Mentorship
1-on-1 guidance from FAANG engineers
Community
Active Discord with 24/7 support
Code Review
Solution review and optimization tips
Mock Interviews
Bi-weekly mock interview practice
Career Support
Resume review and referrals
Lifetime Access
All content and future updates
Career Outcomes & Opportunities
Transform your career with industry-ready skills and job placement support.
Prerequisites
Education
Basic programming knowledge helpful
Coding Experience
Can write simple programs (loops, conditions)
Equipment
Computer with internet connection
Time Commitment
15-20 hours per week
English
Good comprehension required
Motivation
Strong desire to excel in technical interviews
Who Is This Course For?
Students
CS students preparing for placements
Working_professionals
Developers preparing for job switch
Competitive_programmers
Want to improve contest performance
Self_learners
Want structured DSA learning path
Bootcamp_graduates
Need CS fundamentals
Career_switchers
Breaking into tech
Anyone
Passionate about problem-solving
Career Paths After Completion
Software Development Engineer (SDE)
Full Stack Developer
Backend Engineer
Frontend Engineer
Mobile Developer
DevOps Engineer
Machine Learning Engineer
Competitive Programmer
Technical Interview Coach
Algorithm Researcher
System Architect
Technical Lead
Salary Expectations
After 2 Months
Ready for ₹5-10 LPA roles
After 4 Months
Ready for ₹10-20 LPA roles
After 6 Months
Ready for ₹15-40+ LPA roles
Faang Ready
₹25-60+ LPA packages
International
$100k-250k+ USD
Competitive Programming
Prize money + opportunities
Course Guarantees
Money Back
30-day money back guarantee
Job Assistance
Interview preparation and referrals
Lifetime Updates
Free access to new problems and content
Mentorship
Guidance from FAANG engineers
Certificate
Industry-recognized certification
Portfolio
500+ problems solved with solutions