Graph Theory Courses and Certifications

EDUCBA

AI & Machine Learning: Apply, Build & Solve

1 rating

Master AI fundamentals, search algorithms, neural networks, logic reasoning, expert systems with CLIPS, and probabilistic decision-making through hands-on practice and theory.

• Coursera
• 17 hours 41 minutes
• Self-Paced
• Paid Course

Solving Algorithms for Discrete Optimization

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
• Self-Paced
• Paid Course

Python Developer | Complete course

1300 ratings at Udemy

Learn programming by starting from zero, and create powerful projects with Python : Web, Mobile, Games, Desktop

• Udemy
• 1 day 3 hours 27 minutes
• Self-Paced
• Paid Course

Data Structures and Algorithms

37 ratings at Coursera

Master essential data structures and algorithms in .NET Core, from arrays to graphs, while learning to analyze, implement and optimize code for scalable back-end development and performance.

• Coursera
• 1 day 23 hours 38 minutes
• Self-Paced
• Paid Course

Career Certificate

Data Structures and Algorithms

Comprehensive exploration of algorithmic concepts through hands-on programming, covering data structures, graph algorithms, string manipulation, and advanced techniques. Emphasizes practical implementation and problem-solving skills.

• Coursera
• 20 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 6 courses

Codio

C++: Algorithms

13 ratings at Coursera

Master data structures and algorithms in C++ through hands-on coding exercises, covering complexity analysis, design techniques, searching, and sorting - all with instant feedback and practical examples.

• Coursera
• 12 hours 55 minutes
• Self-Paced
• Paid Course

Information & Digital Literacy for University Success

Develop essential skills for university success: efficient information search, critical evaluation of sources, ethical use of information, and effective digital communication and networking.

• Coursera
• 1 day 12 hours 26 minutes
• Self-Paced
• Paid Course

Sustainable AI: AI Footprint and What To Do About it

1047 ratings at Udemy

Learn how AI impacts energy, carbon & water, and discover smart, real-world solutions for greener AI & technology.

• Udemy
• 1 hour 33 minutes
• Self-Paced
• Paid Course

Career Certificate

Introduction to Discrete Mathematics for Computer Science

Explore discrete mathematics through interactive puzzles, gaining essential skills for data science, machine learning, and software engineering. Develop mathematical thinking and problem-solving abilities applicable to various IT fields.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

The Path to Insights: Data Models and Pipelines

Explore data modeling, databases, and ETL processes to extract, transform, and load data for effective business intelligence. Learn to design efficient data pipelines and optimize BI processes.

• Coursera
• 16 hours 56 minutes
• Self-Paced
• Paid Course

Device-based Models with TensorFlow Lite

Learn to deploy machine learning models on mobile and embedded devices using TensorFlow Lite. Optimize for low-power environments and run models on Android, iOS, Raspberry Pi, and microcontrollers.

• Coursera
• 10 hours 19 minutes
• Self-Paced
• Paid Course

Optimization with Metaheuristics in Python

1007 ratings at Udemy

Learn Simulated Annealing, Genetic Algorithm, Tabu Search, and Evolutionary Strategies, and Learn to Handle Constraints

• Udemy
• 9 hours 52 minutes
• Self-Paced
• Paid Course

Prescriptive Analytics

Dive into optimization modeling with Python, transforming complex business decisions into actionable strategies. Learn to build linear and mixed-integer models, apply linearization techniques, and leverage prescriptive analytics for efficient, data-drive…

• Coursera
• 1 day 6 hours 14 minutes
• Self-Paced
• Paid Course

Coursera

Linear Regression with Python

Implement Linear Regression using Python and Numpy, focusing on practical aspects like optimization algorithms and training processes. Gain hands-on experience in fundamental machine learning concepts.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

Coursera

Deep Learning with PyTorch : Generative Adversarial Network

Implement a Deep Convolutional GAN using PyTorch to generate realistic handwritten digits. Create a generator and discriminator, and learn practical aspects of DCGAN implementation and training.

• Coursera
• 2 hours 1 minute
• Self-Paced
• Paid Course