Constraint Programming Courses and Certifications

Institute for Pure & Applied Mathematics (IPAM)

Prediction + Optimisation - Without and With Decision-Focused Learning

Explore AI-enhanced combinatorial optimization, including preference learning, decision-focused learning, and explanation generation. Discover CPMpy, a modern constraint programming language integrating multiple solving paradigms with machine learning.

• YouTube
• 58 minutes
• On-Demand
• Free Online Course

Discrete Optimization

12 reviews

Learn how to solve complex search problems using discrete optimization concepts and algorithms in this 8-week course from the University of Melbourne.

• Coursera
• 2 days 17 hours 10 minutes
• On-Demand
• Free Online Course (Audit)

Constraint Programming

1 review

Learn the basics of constraint programming from the implementation of solvers to modeling techniques for solving concrete combinatorial problems such as routing and scheduling.

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

University of Melbourne;  The Chinese University of Hong Kong

Solving Algorithms for Discrete Optimization

42 ratings at Coursera

Explore advanced solving techniques for discrete optimization problems, enhancing modeling skills and solver selection. Learn constraint programming, mixed integer programming, and local search methods.

• Coursera
• 22 hours 12 minutes
• On-Demand
• Free Online Course (Audit)

This class is designed to be hands-on, and we will be using several Python frameworks against CTF challenges: a binary analysis framework called angr and a SMT solver called z3.

• Independent
• On-Demand
• Free Online Course

Institute for Pure & Applied Mathematics (IPAM)

Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization

Explore a hybrid approach combining reinforcement learning and constraint programming for solving complex combinatorial optimization problems, with applications in various fields.

• YouTube
• 28 minutes
• On-Demand
• Free Online Course

GOTO Conferences

Propagators Part 1

Explore algorithms for information propagation, including CRDTs, Datalog, and SAT solving. Learn about Sussman and Radul's propagators and Kuper's lattice variables, blending frameworks for consistent, terminating results.

• YouTube
• 33 minutes
• On-Demand
• Conference Talk

GOTO Conferences

Propagators Part 2

Explores advanced concepts in propagator algorithms, blending frameworks to optimize termination and consistency in various computational domains like CRDTs, Datalog, and constraint programming.

• YouTube
• 22 minutes
• On-Demand
• Conference Talk

NDC Conferences

Building AI Solutions with Google OR-Tools

Learn to build AI solutions using Google OR-Tools for optimization problems. Explore constraint programming, linear programming, and mixed-integer programming through practical examples like Sudoku and scheduling.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Conference Talk

JSConf

Constraint Programming in the Browser

Explore constraint programming in JavaScript using Cassowary, enabling dynamic relationships between variables for innovative browser applications.

• YouTube
• 28 minutes
• On-Demand
• Conference Talk

The Chinese University of Hong Kong;  University of Melbourne

离散优化算法篇 Solving Algorithms for Discrete Optimization

探索离散优化算法,从约束编程到混合整数规划,再到局部搜索,学习解决复杂决策问题的先进技术,提升解决现实世界优化挑战的能力。

• Coursera
• 1 day 4 hours 25 minutes
• On-Demand
• Free Online Course (Audit)

Modeling Discrete Optimization

6 reviews

Aprenda a modelar problemas complexos de otimização discreta usando MiniZinc e resolva-os facilmente com software de código aberto de última geração.

• Coursera
• 7 weeks, 5-10 hours a week
• Finished
• Free Online Course (Audit)