Linear Programming Courses and Certifications

Introduction to Technology-Assisted Decision-Making

15 ratings at Coursera

Formulate real decision problems as optimisation models and solve them with graph theory and linear programming, applying results to resource allocation, production planning, and scheduling.

• Coursera
• 2 weeks, 5 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

Operations Research (3): Theory

97 ratings at Coursera

Prove and apply the theory behind mathematical programs: linear programming duality, shadow prices, dual simplex and sensitivity analysis, network flow unimodularity, Lagrangian relaxation and KKT conditions.

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

Introduction to Supply Chain Analytics using Microsoft Excel

2886 ratings at Udemy

Learn supply chain analytics with Excel: forecasting, optimization, and data-driven decisions without complex math

• Udemy
• 5 hours 41 minutes
• Self-Paced
• Paid Course

Master Decision making with " Excel What-If Analysis"!

2606 ratings at Udemy

Unleash Advanced Excel for Business decision making. Master Sensitivity analysis, scenario comparisons and Excel solver.

• Udemy
• 1 hour 36 minutes
• Self-Paced
• Paid Course

Linear and Integer Programming

9 ratings

Learn to formulate and solve linear and integer programs: simplex, duality and KKT conditions, branch and bound, cutting planes, with applications to SVMs, regression and Sudoku.

• Coursera
• No Longer Offered
• Paid Course

Advance Analytics with Excel - data analysis toolpak/ Solver

1569 ratings at Udemy

Advanced data analysis in excel: Data Analysis tools (toolpak add-in) for statistics / solver for linear optimization

• Udemy
• 2 hours 50 minutes
• Self-Paced
• Paid Course

École normale supérieure

Approximation Algorithms Part II

48 ratings at Coursera

Design approximation algorithms with linear programming duality: build primal-dual algorithms for Steiner forest and facility location, and apply semidefinite programming to Maximum Cut.

• Coursera
• 4 weeks, 9 hours a week
• Self-Paced
• Free Online Course

Automated Reasoning: satisfiability

45 ratings at Coursera

Apply SAT/SMT solvers to fit rectangles, schedule tasks, solve puzzles and check program correctness, and learn resolution, DPLL/CDCL, Tseitin transformation and the simplex method.

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

Approximation Algorithms

33 ratings at Coursera

Design and analyze approximation algorithms for NP-hard problems: approximation ratios, load balancing, LP relaxation for vertex cover, and polynomial-time approximation schemes for the knapsack problem.

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

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Linear Algebra for Machine Learning & AI

Solve linear systems with Gauss elimination and Cramer's rule, compute eigenvalues via the Power method, and tackle linear programming with graphical, simplex, and dual simplex methods.

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

Quantitative Analysis

A business-focused review of quantitative decision-making models, from simulation, inventory, and queueing to linear programming, sensitivity analysis, and network models.

• Study.com
• 7 hours 12 minutes
• Self-Paced
• Paid Course

Coursera

Apply AI Techniques & Prescriptives

Apply ensemble AI techniques to business decision problems, weigh accuracy, latency and interpretability trade-offs, and optimize product mix with linear programming and weighted-scoring models.

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

Coursera

AI Optimization & Experimental Methods

Combine ensemble AI, linear programming, genetic algorithms, and Q-learning with propensity-score matching, causal discovery, A/B tests, and Monte Carlo simulation to build a marketing mix optimization framework.

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

Strange Loop Conference

Linear Logic Programming

Explore how linear logic treats information as consumable resources, enabling declarative models of state change and resource usage in the Celf programming language.

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