Divide-and-Conquer Courses and Certifications

NPTEL;  IIT Bombay

Design & Analysis of Algorithms

2 ratings

Comprehensive exploration of algorithm design techniques, analysis frameworks, and problem-solving strategies, covering divide-and-conquer, greedy algorithms, dynamic programming, and NP-completeness.

• YouTube
• 1 day 6 hours
• Self-Paced
• Free Video

Design and Analysis of Algorithms

2 ratings

Comprehensive exploration of advanced algorithm design and analysis, covering diverse topics from interval scheduling to cryptography and distributed systems.

• MIT OpenCourseWare
• 39 hours
• Self-Paced
• Free Video

Divide and Conquer - Concept-based Models for Efficient Transfer Learning

Exploring concept-based interpretable AI models for efficient transfer learning in healthcare, focusing on generalizability and minimal data requirements for domain adaptation in medical imaging.

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

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Algorithm Design: Mastering Computational Problem Solving

Master algorithmic design paradigms including divide-and-conquer, dynamic programming, graph algorithms, and complexity theory to solve computational challenges efficiently.

• Coursera
• 1 day 8 hours 54 minutes
• Self-Paced
• Paid Course

Recursion, Backtracking and Dynamic Programming in Python

929 ratings at Udemy

Learn Competitive Programming, Recursion, Backtracking, Divide and Conquer Methods and Dynamic Programming in Python

• Udemy
• 15 hours 46 minutes
• Self-Paced
• Paid Course

The Design and Analysis of Algorithm Masterclass

661 ratings at Udemy

Algorithm & Data Structures will help you to Crack Coding Interviews (C/C++Java/Python) Learn Algorithm Data Structures

• Udemy
• 12 hours 33 minutes
• Self-Paced
• Paid Course

Introduction to Graduate Algorithms

1 rating

Learn advanced techniques for designing algorithms and apply them to hard computational problems.

• Udacity
• 20 hours
• Self-Paced
• Free Online Course

NPTEL;  IIT Bombay

Design and Analysis of Algorithms

Comprehensive exploration of algorithm design techniques, analysis frameworks, and problem-solving strategies, covering divide-and-conquer, greedy algorithms, dynamic programming, and NP-completeness.

• YouTube
• 1 day 6 hours
• Self-Paced
• Free Video

Yannic Kilcher

Divide-and-Conquer Monte Carlo Tree Search for Goal-Directed Planning - Paper Explained

Explores a novel AI planning approach using divide-and-conquer Monte Carlo Tree Search, proposing intermediate goals to break complex problems into manageable sub-tasks for more efficient problem-solving.

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

React Conferences by GitNation

Complexity - Divide and Conquer

Simplify complex UI problems by viewing them as actions changing facts leading to reactions. Learn to make code more declarative and concise using reactive programming principles.

• YouTube
• 27 minutes
• Self-Paced
• Conference Talk

Mastering critical SKILLS in Algorithms using C++: Part 2

282 ratings at Udemy

70 Challenges to master recursive based techniques, shortest-path and MST algorithms.

• Udemy
• 15 hours 4 minutes
• Self-Paced
• Paid Course

Recursion and Backtracking (Memoization, D&C, Combinations)

213 ratings at Udemy

Algorithm Design Techniques, Backtracking, Divide and Conquer, Memoization, N-queen Problem

• Udemy
• 1 hour 40 minutes
• Self-Paced
• Paid Course

Chennai Mathematical Institute;  NPTEL

Design and analysis of algorithms

2 ratings

This course will cover basic concepts in the design and analysis of algorithms.

• Swayam
• 12 weeks, 2-3 hours a week
• Available until Sep 11, 2026
• Free Online Course

ACM SIGPLAN

Divide and Conquer - A Compositional Approach to Game-Theoretic Security

Discover a compositional approach to scaling game-theoretic security analysis for decentralized systems like blockchains using automated reasoning and SMT solving techniques.

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

DataLearning@ICL

Divide (or Convolve) and Conquer: Data Comparison with Wiener Filters

Explore Wiener filters for data comparison in machine learning, enhancing image reconstruction and translation robustness in various applications like compression and generative modeling.

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