Genetic Algorithms Courses

Human Judgment in the Age of AI & Algorithms

Explore how to combine algorithmic predictions with human judgment by recognizing bias, automation errors, and when contextual reasoning should override AI recommendations.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

RNA, DNA and the Genetic Code

Trace how DNA is replicated, repaired, and read through replication forks, telomeres, RNA splicing, and gene-silencing mechanisms.

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

Computer Science 201: Data Structures & Algorithms

Study Java data structures and algorithms through stacks, queues, trees, hash tables, graphs, recursion, sorting, and memory management.

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

Fred Hutchinson Cancer Center

Practical Steps for Building Fair AI Algorithms

Learn ten practical principles for building fair algorithms: choosing training data, features and predicted outcomes, documenting datasets, and assessing bias in criminal justice, healthcare and ChatGPT.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Scrimba

Data Structures and Algorithms: Binary Search

Code six different binary search algorithms in JavaScript through in-browser interactive lessons, learning techniques that extend beyond binary search to broader problem solving.

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

Scrimba

Data Structures and Algorithms: Merge Sort

Code six alternative implementations of merge sort in JavaScript, picking up algorithm analysis and design patterns along the way.

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

Packt

Advanced Data Structures and Algorithms

Learn recursion, call stacks, linear and binary search, bubble, insertion, quick and merge sort, plus depth-first and breadth-first tree and graph traversals with complexity analysis.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Packt Career Certificate

Mastering Machine Learning Algorithms using Python

Build and tune machine learning models in Python: preprocess data with Pandas and NumPy, run exploratory analysis, and apply linear and logistic regression to car prices and telecom churn.

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

Packt

Advanced ML Algorithms & Unsupervised Learning

Build and tune Random Forest and SVM classifiers with grid search and cross-validation, reduce dimensions with PCA, segment data using K-Means, and survey deep learning.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Packt

Exploratory Data Analysis & Core ML Algorithms

Clean and visualize datasets with EDA, then build linear and logistic regression, Naive Bayes, and decision tree models using AUC-ROC, entropy, Gini index, and hyperparameter tuning.

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

Packt

70+ JavaScript Challenges - Data Structures and Algorithms

Solve 70+ JavaScript coding challenges covering recursion, higher-order array methods, hash tables, stacks, queues, linked lists, binary search trees, graph traversal, sorting, and time complexity.

• Coursera
• 11 weeks, 2 hours a week
• Self-Paced
• Paid Course

Scrimba Career Certificate

JavaScript Algorithms

Solve algorithm challenges in JavaScript: tackle beginner interview problems and implement Binary Search and Merge Sort with both theory and hands-on coding practice.

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

Packt

Algorithms and Problem-Solving in JavaScript

Solve algorithm challenges in JavaScript: reverse strings, detect anagrams, use reduce(), write recursive and sorting solutions, and measure performance with Big O notation.

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

Coursera

Optimize Agentic AI: Algorithms for Peak Performance

An agent's intelligence is useless if it is too slow: replace brute-force planners with beam search, profile bottlenecks, and cut complexity from O(n²) to O(log n).

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

YouTube Marketing 2026: YouTube SEO & Algorithms

Grow a YouTube channel with keyword research in VidIQ and TubeBuddy, the recommendation algorithm, Shorts, thumbnails, analytics, Live, YouTube ads, and monetization beyond ad revenue.

• Coursera
• 10 hours 48 minutes
• Self-Paced
• Paid Course