Algorithms Courses and Certifications

Mastering Classic Reinforcement Learning Algorithms

Formulate decisions as finite Markov decision processes and solve them with value iteration, policy iteration, bandits, Monte Carlo methods, temporal-difference learning, SARSA, and Q-learning.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Data Structures and Algorithms C++ : Zero to Mastery in 2026

2425 ratings at Udemy

Ace the Google, Amazon, Facebook, Microsoft, Netflix coding interviews. Step by step guide for their toughest questions!

• Udemy
• 2 days 16 hours 32 minutes
• Self-Paced
• Paid Course

Algorithms and Data Structures in C#: Complete Tutorial

2305 ratings at Udemy

Learn data structures and algorithms in C# from A to Z. Pass coding interview. Learn unit testing and TDD in addition.

• Udemy
• 18 hours 29 minutes
• Self-Paced
• Paid Course

NPTEL;  IIT Delhi

Data Structures and Algorithms

2 ratings

The objective of the course is to familiarize students with basic data structures and their use in fundamental algorithms. Topics covered include an introduction to object-oriented programming through stacks, queues and linked lists;

• YouTube
• 1 day 9 hours
• Self-Paced
• Free Video

Introduction to Algorithms

2 ratings

This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems.

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

Data Structures & Algorithms in Java + 150 Leetcode Problems

2164 ratings at Udemy

Learn DSA + Solve Leetcode problems for coding interviews

• Udemy
• 1 day 18 hours 33 minutes
• Self-Paced
• Paid Course

AI and Machine Learning Algorithms and Techniques

71 ratings at Coursera

Implement and evaluate supervised, unsupervised, and reinforcement learning algorithms, apply feature selection and engineering, and use neural networks and pre-trained LLMs on business problems.

• Coursera
• 5 weeks, 9 hours a week
• Self-Paced
• Paid Course

Career Certificate

Data Structures and Algorithms

Learn to design and implement data structures from fundamentals to recent research results, along with algorithm design and performance analysis skills.

• Coursera
• 12 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Sums - Approximation Methods for Recurrences and Algorithms - Lecture 5

Master sum approximation techniques including perturbation, ansatz method, and integral method for recurrences, counting, probability, and algorithm analysis.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Generalization toward Novel Scenarios - From Algorithms to Applications

Explore machine learning generalization techniques for handling novel scenarios, covering algorithmic approaches and real-world applications in this comprehensive research presentation.

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

LeetCode in Java: Algorithms Coding Interview Questions

1695 ratings at Udemy

Ace your next coding interview by solving essential coding interview questions and get an offer from big tech company.

• Udemy
• 1 day 14 hours 53 minutes
• Self-Paced
• Paid Course

NDC Conferences

From Ancient Greeks to Modern Geeks - Basic Machine Learning Algorithms

Discover fundamental machine learning algorithms from Naive Bayes to Decision Trees through simple, code-neutral explanations that demystify ML concepts for developers.

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

Great Learning

Insertion Sort Algorithms Using C

Learn how insertion sort orders nearly sorted arrays, implement it in C, and analyze its time and space complexity.

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

Better Algorithms and Data Structures for BPF

Explore advanced algorithms and data structures for optimizing BPF performance in Linux systems, enhancing network processing and system observability.

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

Ryan O'Donnell

Approximation Algorithms

Learn how approximation algorithms tackle NP-complete problems while proving performance guarantees and hardness limits for vertex cover, k-coverage, and TSP.

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