Data Structures and Algorithms (DSA) form the foundation of efficient software development, focusing on organizing data (Structures) and processing it (Algorithms) to solve complex problems. Essential for technical interviews at top firms, key topics include arrays, linked lists, trees, graphs, sorting, searching, and recursion.

This roadmap brings together everything I’ve learned from real production environments to help you understand how AI systems are built end-to-end, exactly like I do in my real projects!

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A clear, practical roadmap based on real experience — the guide I wish I had when I started.

🎓 Learning Materials

• https://youtu.be/nrG1iRJW1rA
• https://datacamp.pxf.io/mOAO91
• https://datacamp.pxf.io/jekex0

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Your Starting DSA Phases

• #1 Traversal**: Learning how to traverse an array is basic, and when you know how to traverse an array, 50% of the issue is solved.**
• #2 Rearrangement**: In this topic you will learn how to assign values without methods.**
• #3 Insertion/Deletion:
• #4 Selection / Search:

Phases

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Each skill listed below is clickable — open it to access a full learning guide I created for you. including tool recommendations, must-learn concepts, and curated learning resources.

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Software Engineering Skills

Skills

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