Searching Algorithms Courses and Certifications

Kunal Kushwaha

Linear Search Algorithm - Theory, Code, Questions

Learn linear search through its step-by-step method, complexity analysis, code, and practice problems involving strings, ranges, and arrays.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

CppCon

Optimizing Binary Search - Advanced Techniques and Performance Improvements

Explore advanced techniques to optimize binary search, including branchless programming, memory layout optimization, and SIMD instructions, achieving up to 15x speedup over std::lower_bound.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Krish Naik

Discussing All Search Algorithms With Interview Based Questions

Explore linear, binary, and ternary search through array implementations, recurrence relations, matrix search, and interview-style problems.

• YouTube
• 2 hours 10 minutes
• Self-Paced
• Free Video

Learn Advanced Algorithms with Python: String Searching Algorithms

13 ratings at Codecademy

Learn to implement efficient string searching in Python using the Rabin-Karp and Knuth-Morris-Pratt algorithms.

• Codecademy
• 3 hours
• Self-Paced
• Free Trial Available

Algorithms: Sorting and Searching Course (How To)

119-minute Computer Science course: This course will look at algorithms in two categories: sorting and searching. We'll implement well-known sortin...

• Treehouse
• 1 hour 59 minutes
• Self-Paced
• Free Trial Available

Great Learning

Binary Search in C

Learn binary search in C through iterative and recursive implementations, demonstrations, and time and space complexity analysis.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Great Learning

Search Algorithms in Java

Implement linear and binary search in Java while analyzing their time and space complexity.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Scrimba

Guide to Algorithms in JavaScript - Binary Search

Learn binary search by implementing six JavaScript variants, including imperative, recursive, tail-recursive, array-splitting, array-view, and array-partition approaches.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

OpenSource Connections

Creating Representative Query Sets for Offline Evaluation

Learn to construct representative query sets for offline evaluation in AI/ML experimentation, enhancing understanding of algorithm impacts and streamlining A/B testing processes.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

OpenSource Connections

Persona Based Evaluation of Search Systems

Discover how to automate search evaluation using AI personas that simulate diverse users, eliminating manual test cases while ensuring dynamic coverage across multi-modal content.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Yacine Mahdid

AI Path Finding - Easy Search - Raw Problem Solving

A raw walkthrough of solving a simple AI coding challenge using the Understand, Solve, Code framework, including debugging.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Design and Analysis of Algorithms

7 ratings

Comprehensive exploration of algorithm design and analysis, covering complexity, sorting, data structures, and optimization techniques for efficient problem-solving.

• YouTube
• 10 hours
• Self-Paced
• Free Video

Artificial Intelligence Essentials

44 ratings at Coursera

Examine AI through philosophy and science fiction, define rational agents and task environments, and code uninformed and A* search algorithms in Python.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Algorithms

5 ratings

Learn how to structure and use algorithms to solve real life problems.

• edX
• 6 weeks, 6-8 hours a week
• Self-Paced
• Free Certificate

Data Science Decisions in Time:Sequential Hypothesis Testing

Extend Chernoff's sequential hypothesis testing to active hypothesis selection: build biased tree walks, scale to large action spaces, and apply results to MRI and protein design.

• Coursera
• 6 weeks, 4 hours a week
• Self-Paced
• Paid Course