Optimization Algorithms Courses and Certifications

Convex Optimization I - Lecture 5

Explore advanced optimization techniques with Professor Stephen Boyd, focusing on convex problems and their applications in engineering and beyond.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Convex Optimization I - Lecture 4

Explore advanced convex optimization techniques with Stanford's Professor Stephen Boyd, focusing on practical applications in engineering and data science.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Convex Optimization I - Lecture 7

Explore advanced convex optimization techniques with Stanford's Stephen Boyd, focusing on practical applications and theoretical foundations in electrical engineering and beyond.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

Gradient Descent: Building Optimization Algorithms from Scratch

Master optimization algorithms by implementing Gradient Descent variants from scratch, including Stochastic, Mini-Batch, Momentum, RMSProp, and Adam methods, with hands-on Python implementation and practical applications.

• CodeSignal
• On-Demand
• Free Certificate

Introduction to Technology-Assisted Decision-Making

1 review

Explore technology-assisted decision-making, learning graph theory and linear programming to optimize outcomes in various fields. Gain practical skills for data-driven problem-solving and resource allocation.

• Coursera
• 8 hours 50 minutes
• On-Demand
• Free Online Course (Audit)

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

63219 ratings at Coursera

Enhance deep learning skills: master hyperparameter tuning, regularization, optimization, and TensorFlow implementation for improved neural network performance and systematic results generation.

• Coursera
• 23 hours 35 minutes
• On-Demand
• Free Online Course (Audit)

Operations Research (2): Optimization Algorithms

140 ratings at Coursera

Explore optimization algorithms for linear, integer, and nonlinear programs. Learn efficient methods like simplex, branch-and-bound, gradient descent, and Newton's method. Apply concepts to real-world business cases.

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

Particle Swarm Optimization in MATLAB

1906 ratings at Udemy

A video tutorial on PSO and its implementation in MATLAB from scratch

• Udemy
• 1 hour 21 minutes
• On-Demand
• Free Online Course

Hill Climbing and Simulated Annealing AI Algorithms

90 ratings at Udemy

A micro-credential for learning Inspirations, theories, mathematical models, and applications of HC and SA algorithms

• Udemy
• 3 hours 29 minutes
• On-Demand
• Paid Course

2021 Complete guide on optimization problems in Mechanics

59 ratings at Udemy

Learn how to formulate and solve your problems in GAMS

• Udemy
• 3-4 hours
• On-Demand
• Paid Course

C++ Machine Learning Algorithms Inspired by Nature

40 ratings at Udemy

Study the Genetic Algorithm, Simulated Annealing, Ant Colony Optimization, Differential Evolution by Coding from Scratch

• Udemy
• 2-3 hours
• On-Demand
• Paid Course

Introduction to Deep Learning

Learn how deep learning algorithms can be used to solve important engineering problems.

• edX
• 16 weeks, 6-9 hours a week
• On-Demand
• Free Online Course (Audit)

Deep Learning for Natural Language Processing

1 review

This is an advanced course on natural language processing. Automatically processing natural language inputs and producing language outputs is a key component of Artificial General Intelligence.

• Independent
• On-Demand
• Free Online Course

NPTEL;  IIT Madras

Manufacturing Systems Management

Comprehensive exploration of manufacturing systems, covering cellular manufacturing, JIT, synchronous manufacturing, and flexible systems, with focus on optimization and efficiency.

• YouTube
• 1 day 10 hours
• On-Demand
• Free Video

Classification in Computer Vision - Part II - Lecture 19

Explore advanced classification techniques in computer vision, including SVMs, neural networks, and fully convolutional networks. Learn about activation functions, loss functions, and optimization for effective model training.

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