Genetic Algorithms Courses

Computer Science 201: Data Structures & Algorithms

Comprehensive exploration of data structures and algorithms, covering Java basics, OOP, core structures, analysis, recursion, ADTs, trees, sorting, and advanced topics for practical implementation.

• Study.com
• 13 hours 20 minutes
• Self-Paced
• Paid Course

Codio

Java: Algorithms

Explore data structures and algorithms in Java, covering complexity analysis, design techniques, searching, and sorting through hands-on coding exercises and instant feedback.

• Coursera
• 12 hours 30 minutes
• Self-Paced
• Paid Course

Scrimba

Data Structures and Algorithms: Merge Sort

Master merge sort with six implementations, enhancing problem-solving skills and algorithmic thinking for improved software design and development abilities.

• Coursera
• 1 hour 24 minutes
• Self-Paced
• Paid Course

Scrimba

Data Structures and Algorithms: Binary Search

Enhance coding skills by implementing six binary search algorithms, focusing on hands-on learning and problem-solving techniques applicable to broader software development contexts.

• Coursera
• 1 hour 18 minutes
• Self-Paced
• Paid Course

Fred Hutchinson Cancer Center

Practical Steps for Building Fair AI Algorithms

Learn practical steps to build fair AI algorithms, focusing on real-world applications in healthcare, criminal justice, and language models. Gain insights on designing, assessing, and implementing ethical algorithmic decision-making systems.

• Coursera
• 5 hours 29 minutes
• Self-Paced
• Paid Course

Packt

70+ JavaScript Challenges - Data Structures and Algorithms

Master JavaScript data structures and algorithms through 70+ hands-on coding challenges, from basic string manipulations to advanced graph traversals, while improving problem-solving skills and coding efficiency for interviews and real-world applications.

• Coursera
• 19 hours 7 minutes
• Self-Paced
• Paid Course

Packt

Advanced ML Algorithms & Unsupervised Learning

Master advanced machine learning techniques including Random Forest, SVM, PCA, K-Means clustering, and deep learning fundamentals to build more powerful predictive models and uncover patterns in unlabeled data.

• Coursera
• 8 hours 43 minutes
• Self-Paced
• Paid Course

Packt Credential

Mastering Machine Learning Algorithms using Python

Master machine learning algorithms with Python, from data preprocessing to model optimization. Learn statistical techniques and implement algorithms like linear regression through practical projects.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Scrimba Credential

JavaScript Algorithms

Master essential algorithms and problem-solving techniques in JavaScript, from beginner challenges to advanced concepts like Binary Search and Merge Sort, enhancing your software development capabilities.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Packt

Advanced Data Structures and Algorithms

Master essential data structures and algorithms through hands-on practice with recursion, searching, sorting, and traversal techniques. Build efficient solutions for complex programming challenges and optimize algorithmic performance.

• Coursera
• 9 hours 55 minutes
• Self-Paced
• Paid Course

Packt

Algorithms and Problem-Solving in JavaScript

Master algorithmic thinking and problem-solving in JavaScript through hands-on exercises, from basic string manipulation to advanced LeetCode challenges and Big O optimization.

• Coursera
• 10 hours 10 minutes
• Self-Paced
• Paid Course

Packt

Exploratory Data Analysis & Core ML Algorithms

Master exploratory data analysis and core ML algorithms including linear regression, logistic regression, Naive Bayes, and decision trees through hands-on projects and real-world applications.

• Coursera
• 14 hours 5 minutes
• Self-Paced
• Paid Course

Coursera

Optimize Agentic AI: Algorithms for Peak Performance

Master sophisticated planning algorithms and computational efficiency analysis to build fast, scalable agentic AI systems that perform optimally in real-world applications.

• Coursera
• 2 hours 49 minutes
• Self-Paced
• Paid Course

Coursera Credential

Vector DB Foundations, Embeddings & Search Algorithms

Master vector databases, embeddings, and semantic search algorithms to build advanced retrieval systems and multimodal search applications with hands-on Python projects.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course

Packt

Advanced Algorithms, Dynamic Programming & Graph Algorithms

Master dynamic programming, graph algorithms, heaps, and bit manipulation to solve complex coding challenges and ace technical interviews with hands-on Leetcode-style practice.

• Coursera
• 22 hours
• Self-Paced
• Paid Course