Algorithm Practice with AI Feedback
Data Structures and Algorithms. Work through 10 core concepts with AI assistance, and finish with a reviewed searchable collection and graph traversal visualizer.
Is this programme for you?
Built for developers, interview candidates. AI helps you move faster; every output is checked against references, runnable examples or a human review before you rely on it.
- Who it's for
- Developers, interview candidates
- IT domain
- Data Structures and Algorithms (Foundation to intermediate)
- Prerequisites
- Programming Fundamentals
- How AI is used
- AI-assisted learning
- Reviewed output
- Searchable collection and graph traversal visualizer
- How work is checked
- Check against references, runnable examples or domain review; record uncertain outputs
- Trainer
- Trainer to assign
- Status
- Planned · dates and fees not yet set
10 concepts, each with a practice brief.
Each concept ends in evidence you can show. Briefs are starting points and are reviewed by the trainer before publication.
- 01
Arrays and dynamic arrays
Implement a focused example of Arrays and dynamic arrays within a small part of Searchable collection and graph traversal visualizer; demonstrate a normal and an edge or failure case.
- 02
Linked lists
Implement a focused example of Linked lists within a small part of Searchable collection and graph traversal visualizer; demonstrate a normal and an edge or failure case.
- 03
Stacks and queues
Implement a focused example of Stacks and queues within a small part of Searchable collection and graph traversal visualizer; demonstrate a normal and an edge or failure case.
- 04
Hash tables
Implement a focused example of Hash tables within a small part of Searchable collection and graph traversal visualizer; demonstrate a normal and an edge or failure case.
- 05
Trees and traversal
Implement a focused example of Trees and traversal within a small part of Searchable collection and graph traversal visualizer; demonstrate a normal and an edge or failure case.
- 06
Graph representations
Implement a focused example of Graph representations within a small part of Searchable collection and graph traversal visualizer; demonstrate a normal and an edge or failure case.
- 07
Sorting strategies
Implement a focused example of Sorting strategies within a small part of Searchable collection and graph traversal visualizer; demonstrate a normal and an edge or failure case.
- 08
Binary search
Implement a focused example of Binary search within a small part of Searchable collection and graph traversal visualizer; demonstrate a normal and an edge or failure case.
- 09
Recursion and backtracking
Implement a focused example of Recursion and backtracking within a small part of Searchable collection and graph traversal visualizer; demonstrate a normal and an edge or failure case.
- 10
Time and space complexity
Implement a focused example of Time and space complexity within a small part of Searchable collection and graph traversal visualizer; demonstrate a normal and an edge or failure case.
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