Greedy Algorithms Courses and Certifications

Data Structures & Algorithms in Java + 150 Leetcode Problems

1656 ratings at Udemy

Learn DSA + Solve Leetcode problems for coding interviews

• Udemy
• 1 day 18 hours 33 minutes
• On-Demand
• Paid Course

Algorithms: Design and Analysis, Part 2

Explore advanced algorithm design techniques like greedy algorithms, dynamic programming, and NP-completeness. Master fundamental concepts through problem sets and programming assignments.

• edX
• 6 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Algorithmic Design and Techniques

3 reviews

Learn how to design algorithms, solve computational problems and implement solutions efficiently.

• edX
• 6 weeks, 8-10 hours a week
• On-Demand
• Free Online Course (Audit)

Rust Axum Greedy Coin Microservice

Hands-on project to build, test, and deploy a Rust microservice using Axum framework. Implement greedy coin change algorithm, create RESTful API, and containerize for easy deployment.

• Coursera
• 2 hours 46 minutes
• On-Demand
• Paid Course

NPTEL;  IIT Bombay

Design & Analysis of Algorithms

2 reviews

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
• On-Demand
• Free Video

Design and Analysis of Algorithms

2 reviews

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

• MIT OpenCourseWare
• 39 hours
• On-Demand
• Free Video

Algorithms in Java :Live problem solving & Design Techniques

168 ratings at Udemy

Recursion,BackTracking,Divide & Conquer,Dynamic Programming,Greedy Algorithms via Data Structures and Algorithms in Java

• Udemy
• 19 hours 40 minutes
• On-Demand
• Paid Course

Algorithms in JavaScript : Design techniques

69 ratings at Udemy

Data Structures, Complexity Analysis,Recursion, backtracking, Dynamic Programming,Greedy algorithm, Divide and Conquer

• Udemy
• 17 hours 21 minutes
• On-Demand
• Paid Course

Clemson University

Design and Analysis of Algorithms

35 ratings at Coursera

Master fundamental algorithm design techniques, data structures, and analysis methods through comprehensive exploration of sorting, recursion, hashing, optimization, and graph algorithms.

• Coursera
• 1 day 3 hours 29 minutes
• On-Demand
• Paid Course

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
• On-Demand
• Paid Course

Packt

Advanced Algorithms and Problem-Solving Techniques

Master dynamic programming, greedy algorithms, and bit manipulation to solve complex optimization problems with advanced techniques like memoization and tabulation.

• Coursera
• 14 hours 48 minutes
• On-Demand
• Paid Course

Kunal Kushwaha

Complete Tree Data Structure Course for Interviews

Master tree data structures from basics to advanced concepts with traversals, BSTs, AVL trees, segment trees, and solve FAANG interview questions.

• YouTube
• 12 hours 56 minutes
• On-Demand
• Free Video

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
• On-Demand
• Free Video

Algorithmic Thinking with Python: Foundations

374 ratings at LinkedIn Learning

Learn how to develop your algorithmic thinking skills to become a better problem solver.

• LinkedIn Learning
• 1 hour 17 minutes
• On-Demand
• Free Trial Available

Chennai Mathematical Institute;  NPTEL

Design and Analysis of Algorithms

2 reviews

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

• Swayam
• 12 weeks, 2-3 hours a week
• On-Demand
• Free Online Course