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Data Structures & Algorithms
Beginner
Master Data Structures and Algorithms from fundamentals to advanced topics across 30 chapters and 1162+ pages.
Arrays & Strings
Linked Lists
Trees & Graphs
Sorting & Searching
+4 more
194h
0
0
0
1162
1162 lessons • 194 hours
System Design (HLD)
Intermediate
Master high-level system design across 44 chapters and 1338+ pages.
Scalability and reliability
Distributed systems
Storage and databases
Caching and performance
+4 more
223h
0
0
0
1338
1338 lessons • 223 hours
System Design (LLD)
Intermediate
Master low-level design and object-oriented design across 37 chapters and 1003+ pages.
Object-oriented design
SOLID principles
Design patterns
API and persistence design
+4 more
167h
0
0
0
1003
1003 lessons • 167 hours
Database Management Systems
Intermediate
Master Database Management Systems from foundational concepts to advanced topics like distributed databases, NoSQL, and data warehousing. This comprehensive path covers relational model, SQL, normalization, transactions, recovery, indexing, and query processing with 48 chapters and 1260+ pages.
Relational Model
SQL Mastery
ER Modeling
Normalization
+4 more
210h
0
0
0
1260
1260 lessons • 210 hours
Computer Networks
Intermediate
Master Computer Networks from fundamentals to advanced protocols. This comprehensive path covers the OSI model, TCP/IP, routing, switching, network security, and modern networking with 46 chapters and 1200+ pages.
OSI & TCP/IP Models
Ethernet & Switching
IP Addressing & Subnetting
Routing Protocols
+4 more
200h
0
0
0
1200
1200 lessons • 200 hours
Operating Systems
Intermediate
Master Operating Systems from fundamentals to advanced concepts. This comprehensive path covers processes, threads, memory management, file systems, I/O, virtualization, and distributed systems with 47 chapters and 1201+ pages.
Process Management
Thread Synchronization
Memory Management
Virtual Memory
+4 more
200h
0
0
0
1201
1201 lessons • 200 hours
Machine Learning
Advanced
Master Machine Learning from mathematical foundations to cutting-edge deep learning. This comprehensive path covers linear algebra, probability, classical ML algorithms, neural networks, and modern techniques with 61 chapters and 1389+ pages.
Linear Algebra & Calculus
Probability & Statistics
Supervised Learning
Unsupervised Learning
+4 more
232h
0
0
0
1389
1389 lessons • 232 hours
Data Structures & Algorithms Patterns
Intermediate
Master Data Structures and Algorithms through 15 chapters of coding patterns. From Two Pointers to Dynamic Programming, this path covers 320 carefully curated problems organized by technique for optimal learning progression.
Two Pointers & Sliding Window
Binary Search Techniques
Stack & Queue Patterns
Tree & Graph Algorithms
+4 more
160h
320
0
0
0
320 lessons • 160 hours
Machine Learning Patterns
Advanced
Master Machine Learning from fundamentals to advanced techniques through 19 comprehensive chapters. This path covers 318 carefully curated problems spanning linear algebra, probability, classical ML, deep learning, reinforcement learning, and more.
Linear Algebra & Calculus
Probability & Statistics
Classical ML Algorithms
Neural Networks
+4 more
133h
318
0
0
0
318 lessons • 133 hours
SQL Practice
Beginner
Practice SQL querying, joins, grouping, and analytics with 304 curated problems.
SELECT, WHERE, ORDER BY
JOINs
GROUP BY and aggregation
Subqueries and CTEs
+2 more
101h
304
0
0
0
304 lessons • 101 hours