Integer Programming Courses and Certifications

Coursera

Job Shop Scheduling Using MILP Optimization on RStudio

Model a job shop scheduling problem as a mixed integer linear program in RStudio: set the objective function, apply constraints, and solve with lpSolveAPI.

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

EuroPython Conference

From Algorithms to Agendas - A Beginner's Guide to Integer Programming

Discover how Integer Programming optimizes conference scheduling, maximizing attendee satisfaction through efficient talk allocation to time slots and rooms.

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

Operations Research (1): Models and Applications

588 ratings at Coursera

This course introduces frameworks and ideas about various types of optimization problems in the business world. In particular, we focus on how to formulate real business problems into mathematical models that can be solved by computers.

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

Dynamic Programming, Greedy Algorithms

278 ratings at Coursera

Design algorithms with divide and conquer, dynamic programming, and greedy strategies: Karatsuba, Strassen, FFT, longest common subsequence, knapsack, Huffman codes, plus NP-completeness and integer programming.

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

Approximation Algorithms and Linear Programming

67 ratings at Coursera

Formulate scheduling, knapsack and TSP problems as linear and integer programs in Python with Pulp, and design approximation algorithms with provable factor guarantees.

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

Operations Research (2): Optimization Algorithms

162 ratings at Coursera

Solve linear, integer, and nonlinear programs with the simplex method, branch-and-bound, gradient descent, and Newton's method, then design a heuristic for facility location.

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

Solving Algorithms for Discrete Optimization

44 ratings at Coursera

Learn how discrete optimization solvers work: constraint propagation and search in MiniZinc, branch and bound, simplex and Gomory cuts, and local search with simulated annealing.

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

Coursera

Supply Chain Network Optimization Using MILP on RStudio

14 ratings at Coursera

Optimize a supply chain network with mixed integer linear programming in RStudio: formulate the objective function, apply constraints, run lpSolveAPI, and analyze the solution.

• Coursera
• 1 hour 48 minutes
• Self-Paced
• Paid Course

Coursera

Responsible AI, Explainability & Deployment

Build a production dynamic pricing decision system: apply fairness metrics, differential privacy, SHAP and LIME explanations, mixed-integer optimization, and Kafka–Spark streaming with GDPR/CCPA compliance documentation.

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

Prescriptive Analytics

With Dartmouth Engineering, learn to transform data into actionable strategies in Prescriptive Analytics for Digital Transformation. Use Python to build and solve optimization models, tackle complex d

• edX
• 9 weeks, 3-5 hours a week
• Self-Paced
• Free Online Course (Audit)

NPTEL;  IIT Kharagpur

Constrained and Unconstrained Optimization

A systematic course in optimization and operations research, spanning linear, integer, nonlinear, dynamic, and multi-objective methods.

• YouTube
• 1 day 6 hours
• Self-Paced
• Free Video

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
• Self-Paced
• Conference Talk

Wrath of Math

Pokémon Problem from the 2023 IMO Shortlist - Math Competition Challenge

Dive into a challenging Pokémon-themed algebra problem from the 2023 IMO shortlist, exploring optimal food distribution strategies to minimize dissatisfaction with integer constraints.

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

Wolfram

The State of Optimization - Practical Problem Solving with Constraints

Explore practical problem-solving through constraint formulation and specialized optimization methods. Gain insights into advanced techniques for tackling complex challenges.

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

The Julia Programming Language

Solving Matching Problems in Practical Applications Using JuMP

Optimize supply chain matching with JuMP: Efficiently model connections in transportation networks, balancing idle times, delays, and resource allocation for improved performance and robustness.

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