Evolutionary Algorithms Courses and Certifications

Evolutionary Computation and its Applications

33 ratings at Coursera

Learn to define science and engineering optimization problems and solve them with genetic algorithms and particle swarm optimization implemented in MATLAB toolboxes.

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

Advanced Intelligent Optimization and its Applications

Configure evolutionary algorithms, handle constraints and multiple objectives, and implement combinatorial optimization algorithms in Python for science and engineering design.

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

Dave Churchill

Introduction to Artificial Intelligence - Evolutionary Computing - Lecture 14

Explore evolutionary computing principles, genetic algorithms, and population-based optimization techniques inspired by Darwinian evolution for AI problem-solving.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Cómputo evolutivo

23 ratings at Coursera

Aprende cómo los algoritmos evolutivos imitan la selección natural para resolver problemas de optimización y búsqueda mediante algoritmos genéticos y otras técnicas bioinspiradas.

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

Eclipse Foundation

Overcoming Data Scarcity in Calibrating SUMO Scenarios with Evolutionary Algorithms

Discover a methodology for calibrating SUMO traffic simulations with limited observational data using evolutionary algorithms, demonstrated through the Mannheim SUMO Traffic Model case study and CMA-ES optimization.

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

Career Certificate

Applied AI for Engineers and Scientists: Foundations

146 ratings at Coursera

Apply AI to engineering and science problems: use MATLAB toolboxes for evolutionary computation and machine learning in optimization and data analysis tasks.

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

Career Certificate

Applied AI for Engineers and Scientists: Practitioners

Learn to use LLMs with Python, perform advanced evolutionary optimization, and apply advanced machine learning for engineering and scientific data analysis.

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

Coding Train

Genetic Algorithms - The Nature of Code

Explore evolutionary computing principles through hands-on genetic algorithm implementation, from basic concepts to advanced applications like smart rockets and traveling salesperson problems.

• YouTube
• 6 hours 12 minutes
• Self-Paced
• Free Video

Coding Train

Genetic Algorithms - Intelligence and Learning - Session 2

Explore genetic algorithms through hands-on coding challenges, from Shakespeare monkey examples to traveling salesperson problems and evolutionary steering behaviors.

• YouTube
• 5 hours 52 minutes
• Self-Paced
• Free Video

Simon Fraser University

Advanced Generative Art and Computational Creativity

Build generative artworks in MAX with genetic algorithms, genetic programming, neural networks, and procedural generation, then evaluate creative systems and debate automation's ethical stakes.

• Kadenze
• 100 hours
• Self-Paced
• Free Online Course

Dave Churchill

Introduction to Artificial Intelligence - COMP 6980

Explore AI fundamentals through search algorithms, game theory, evolutionary computing, reinforcement learning, and neural networks with hands-on game assignments.

• YouTube
• 22 hours 34 minutes
• Self-Paced
• Free Video

Dave Churchill

Introduction to Artificial Intelligence (2023-09)

Explore AI fundamentals through algorithmic techniques, search algorithms, game theory, reinforcement learning, and neural networks with hands-on game applications.

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

Dave Churchill

Introduction to Artificial Intelligence - 2022

Explore AI fundamentals through algorithmic techniques, search methods, game theory, and reinforcement learning with hands-on game-based assignments.

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

Dave Churchill

Introduction to Artificial Intelligence (2021-09)

Explore AI fundamentals through algorithmic techniques, search methods, game theory, evolutionary computing, and reinforcement learning with hands-on game applications.

• YouTube
• 1 day 3 hours 43 minutes
• Self-Paced
• Free Video

MLCon | Machine Learning Conference

Evolution 3.0 - Solve Your Everyday Problems with Genetic Algorithms

Explore genetic algorithms for solving everyday problems like scheduling and meal planning. Learn to code from scratch and understand algorithm stages for practical applications.

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