Matrices Courses and Certifications

EDUCBA

Unreal Engine: Design & Control Game Materials for Beginners

11 ratings at Coursera

Master Unreal Engine material creation from basics to advanced Blueprint-driven dynamic effects. Build modular systems, control parameters, and create interactive materials for games.

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

Packt

C++ Basics and Core Concepts

10 ratings at Coursera

Master C++ fundamentals through hands-on projects, covering variables, control statements, arrays, and vectors with practical applications like games and calculators.

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

Packt

AI Enhancement with Knowledge Graphs - Mastering RAG Systems

10 ratings at Coursera

Master the integration of Knowledge Graphs with RAG systems to enhance AI capabilities, covering Neo4j implementation, vector embeddings, and end-to-end project development for improved contextual understanding.

• Coursera
• 5 hours 50 minutes
• Self-Paced
• Paid Course

R Programming Introduction (Live Online)

8 ratings at CourseHorse

Pick up the essential R tools for data analysis, even without a coding background.

• CourseHorse
• 13 hours
• Self-Paced
• $995.00

LearnKartS Career Certificate

Full Stack Agentic AI

5 ratings at Coursera

Master full-stack Agentic AI by building production-ready systems with RAG, MCP, vector databases, and autonomous agents using Angular, Node.js, and MongoDB.

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

Linear Algebra and Feature Selection in Python

1021 ratings at Udemy

Gain the Theoretical and Practical Foundations to Learn Machine Learning and AI with Understanding

• Udemy
• 3 hours 10 minutes
• Self-Paced
• Paid Course

Linear Algebra and Regression Fundamentals for Data Science

Master linear algebra and regression techniques using Python to build essential mathematical foundations for data science applications and predictive modeling.

• Coursera
• 16 hours 26 minutes
• Self-Paced
• Paid Course

University of London;  Goldsmiths University of London

Applied Mathematical Methods for Computing

Explore essential mathematical foundations for computing including algebra, vectors, matrices, sequences, combinatorics, probability, and statistics to solve complex computational problems.

• Coursera
• 19 hours 20 minutes
• Self-Paced
• Paid Course

Math 101: College Algebra

Master college algebra with expert instructors breaking down complex topics into easy-to-understand lessons, covering linear equations, matrices, inequalities, quadratics, functions, and more.

• Study.com
• 16 hours
• Self-Paced
• Paid Course

High School Algebra I: Help and Review

Comprehensive Algebra I review with flexible tools, video lessons, and quizzes for homework help and test preparation. Covers basic arithmetic to complex equations and data analysis.

• Study.com
• 1 day 15 hours 28 minutes
• Self-Paced
• Paid Course

High School Algebra I: Homework Help Resource

Comprehensive video lessons simplify complex Algebra I concepts, helping students complete assignments and improve grades through easy-to-understand explanations of key topics.

• Study.com
• 1 day 12 hours 8 minutes
• Self-Paced
• Paid Course

NLP in Engineering: Concepts & Real-World Applications

Master practical NLP techniques and their engineering applications through word embeddings, neural networks, and deep learning models. Implement advanced methods for real-world problem-solving in natural language processing.

• Coursera
• 13 hours 28 minutes
• Self-Paced
• Paid Course

Foundations of Statistical Learning & Algorithms

Master fundamental mathematical concepts for machine learning through linear algebra, probability theory, and optimization techniques, focusing on practical applications and model evaluation methods.

• Coursera
• 21 hours 22 minutes
• Self-Paced
• Paid Course

Generative AI Part 2

Explore advanced generative AI concepts including transformers, VAEs, GANs, diffusion models, and normalizing flows, with emphasis on mathematical foundations and real-world applications.

• Coursera
• 22 hours
• Self-Paced
• Paid Course

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

Linear Algebra for Machine Learning & AI

Master the mathematical foundations of AI and ML through matrices, linear systems, eigenvalues, transformations, and programming to build essential analytical skills.

• Coursera
• 1 day 11 hours 51 minutes
• Self-Paced
• Paid Course