Optimization Algorithms Courses and Certifications

NPTEL-NOC IITM

Convergence Analysis of a Descent Algorithm - Part 1

Explore the convergence analysis of descent algorithms, including condition number concepts and MATLAB implementation techniques for optimization.

• YouTube
• 15 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Unconstrained Optimization - Proof of 1st Order Condition - Lecture 3

Understand the proof of first order condition in unconstrained optimization, including Taylor's theorem, necessary conditions, and descent direction identification.

• YouTube
• 11 minutes
• On-Demand
• Free Video

Yacine Mahdid

Muon Optimizer for Dense Linear Layer Explained - Newton-Schulz + Momentum

Discover the Muon optimizer revolutionizing large language models through Newton-Schulz orthogonalization and momentum, with hands-on NumPy implementation and real-world applications.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Devoxx

LLMs Can't Optimize Schedules, but AI Can!

Discover how mathematical optimization outperforms LLMs for complex scheduling tasks, and learn to use Timefold Solver for reliable AI-powered scheduling solutions without complex math.

• YouTube
• 16 minutes
• On-Demand
• Free Video

Optimization problems and algorithms [2024]

1677 ratings at Udemy

Understand, Formulate & Tackle Optimization Problems Using Heuristic Algorithms in Matlab

• Udemy
• 8 hours 4 minutes
• On-Demand
• Paid Course

Multi-objective Optimization Problems and Algorithms

580 ratings at Udemy

How to handle multiple objectives using a wide range of optimization algorithms

• Udemy
• 4 hours 7 minutes
• On-Demand
• Paid Course

Simons Institute

Quantum Algorithms for Optimization - Quantum Colloquium

Explore quantum algorithms for optimization, including discrete and continuous problems, with insights on potential speedups and limitations in quantum computing applications.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

Optimization: principles and algorithms - Linear optimization

Introduction to linear optimization, duality and the simplex algorithm.

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

Optimization: principles and algorithms - Unconstrained nonlinear optimization

Introduction to unconstrained nonlinear optimization, Newton’s algorithms and descent methods.

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

Optimization: principles and algorithms - Network and discrete optimization

Introduction to network optimization and discrete optimization

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

Optimization with Genetic Algorithms: Hands-on Python

150 ratings at Udemy

Learn how to implement genetic algorithm from scratch to solve real world optimization problems

• Udemy
• 4 hours 36 minutes
• On-Demand
• Paid Course

tinyML

Introduction to Optimization Algorithms to Compress Neural Networks

Explore optimization techniques for compressing neural networks, including pruning and quantization, to enable deployment on resource-constrained devices like smartphones.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Solving Algorithms for Discrete Optimization

44 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
• 21 hours 52 minutes
• On-Demand
• Paid Course

Microcredential

Implementing AI Algorithms from Scratch

67 ratings at CodeSignal

Master the fundamentals of AI by implementing algorithms from scratch - from regression and gradient descent to neural networks, covering classification, ensemble methods, and unsupervised learning techniques.

• CodeSignal
• On-Demand
• Free Certificate
• 6 courses

Packt

Sorting Algorithms, Complexity Analysis, and Optimization

Master sorting algorithms from basic to advanced, analyze time/space complexity, and solve optimization problems with hands-on examples and mathematical foundations.

• Coursera
• 9 hours 53 minutes
• On-Demand
• Paid Course