Linear Algebra Courses and Certifications

Quantum Physics II

1 rating

Topics covered in this course include the general formalism of quantum mechanics, harmonic oscillator, quantum mechanics in three-dimensions, angular momentum, spin, and addition of angular momentum.

• MIT OpenCourseWare
• 36 hours
• Self-Paced
• Free Video

MATLAB for Engineering Students Part 1

1359 ratings at Udemy

Learn the MATLAB basics you need. Matrices, plotting, logicals, looping, functions & more are covered with many examples

• Udemy
• 13 hours 17 minutes
• Self-Paced
• Paid Course

AI Workflow: AI in Production

60 ratings at Coursera

Hands-on training in deploying AI models to production using Docker, Kubernetes, and IBM tools. Learn to build APIs, monitor performance, and iterate efficiently in enterprise AI workflows.

• Coursera
• 17 hours 4 minutes
• Self-Paced
• Paid Course

Mathematical Foundation For Machine Learning and AI

1294 ratings at Udemy

Learn the core mathematical concepts for machine learning and learn to implement them in R and python

• Udemy
• 4 hours 16 minutes
• Self-Paced
• Paid Course

Algebra: Rules and Symbols (Live Online)

32 ratings at CourseHorse

Discover the profound evolution of algebra, from its origins in ancient Babylon and al-Khwarizmi’s foundational treatise to the revolutionary connections between algebra and geometry by Descartes.

• CourseHorse
• 12 hours
• Self-Paced
• $335.00

Math Behind LLMs, Transformers and Modern Computer Vision

1087 ratings at Udemy

From Multi Head Attention and Embeddings to Transformers, Vision Transformers, Modern Image Segmentation + LLMs and SAM

• Udemy
• 6 hours 57 minutes
• Self-Paced
• Paid Course

Unsupervised Machine Learning

Explore unsupervised machine learning techniques, including clustering and dimensionality reduction, to uncover insights from unlabeled data. Gain hands-on experience with algorithms and best practices.

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

Specialized Models: Time Series and Survival Analysis

Learn time series analysis and survival modeling techniques for forecasting and analyzing censored data, including decomposition, ARIMA models, and hazard functions. Gain hands-on experience with Python.

• Coursera
• 11 hours 30 minutes
• Self-Paced
• Paid Course

AI Workflow: Business Priorities and Data Ingestion

Explore AI workflow in enterprise settings, covering design thinking, scientific approach, and data ingestion. Learn to prioritize business opportunities and build data pipelines using Python.

• Coursera
• 7 hours 35 minutes
• Self-Paced
• Paid Course

Career Certificate

Mathematical Foundations for Data Science and Analytics

Master essential mathematical concepts including linear algebra, statistics, calculus, and probability theory to build strong foundations for data science and analytics careers.

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

Alberta Machine Intelligence Institute

Data for Machine Learning

Develop skills to prepare, engineer, and validate data for machine learning models. Learn to identify biases, improve generality, and enhance model accuracy through thoughtful feature engineering.

• Coursera
• 11 hours 53 minutes
• Self-Paced
• Paid Course

Packt

Mathematical Foundations and Quantum Mechanics Essentials

Master mathematical foundations and quantum mechanics essentials. Explore probability theory, complex numbers, matrices, and linear transformations. Delve into qubits, superposition, interference, and entanglement. Develop a well-rounded understanding of…

• Coursera
• 4 hours 37 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

The Complete Quantum Computing Course for Beginners

Master quantum computing fundamentals, from math basics to programming with Python and Qiskit. Implement key algorithms and run them on simulators and real quantum hardware.

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

AI Workflow: Enterprise Model Deployment

Explore Apache Spark, Docker, and Watson Machine Learning for enterprise model deployment. Learn best practices for data manipulation, model training, and tuning, focusing on recommender systems and scalable solutions.

• Coursera
• 9 hours 16 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