Welcome to the Coursedio
We are still updating our library, if you want a specific course you can request us through feedback.
This is a catalog of all recent courses we added to our library. You can search for a new course or pick one below to start learning.
Ready to start learning?
All courses offered by Coursedio are free to watch. Our goal is to give access to learning materials to those who are unable to access them.
Browse Courses
SQL Server Machine Learning Services: Python
Learn how to analyze SQL Server data with Python. Discover how to perform statistical analyses, generate graphics, and process tabular data—directly in SQL Server.
Machine Learning with Python: Association Rules
Explore the unsupervised machine learning approach known as association rules, as well as a step-by-step guide on how to use the approach for market basket analysis in Python.
Machine Learning with Python: Logistic Regression
Get an introduction to logistic regression by exploring how to build supervised machine learning models with Python.
Advanced NLP with Python for Machine Learning
Build upon your foundational knowledge of natural language processing (NLP) by exploring more complex topics such as word2vec, doc2vec, and recurrent neural networks.
Machine Learning with Python: k-Means Clustering
Learn the basics of k-means clustering, one of the most popular unsupervised machine learning approaches.
Introduction to Generative Adversarial Networks (GANs)
Gain a better understanding of Generative Adversarial Networks (GANs), how they are created, how they train, and how they are able to create new media.
LLM Foundations: Vector Databases for Caching and Retrieval Augmented Generation (RAG)
Learn about the basics of vector databases and how to use them in LLM caching and retrieval-augmented generation.
Executive Guide to AutoML
Learn about AutoML, the opportunities and challenges that arise in attempting to automate machine learning, and how this automation affects your organization.
Build GANs and Diffusion Models with TensorFlow and PyTorch
Explore the fundamentals of generative adversarial networks (GANs) and diffusion models, two of the most commonly used generative models in machine learning.
Executive Guide to Predictive Modeling Strategy at Scale
Scalability is one of the biggest challenges in data science. Learn how to evaluate data, choose the right algorithms, and perform predictive modeling at scale.
Top 10 Skills for Robotics Engineers
Explore top skills you need to succeed as a robotics engineer.
Top 10 Skills for Computational Linguistics
Learn the top ten skills of computational linguists to build out your professional toolbox and boost your career.
Building Skills with Semantic Kernel
Level up your skills with Semantic Kernel, the new face of AI-powered development that helps integrate LLM AI capabilities into applications.
Top 10 Skills for AI Engineer/AI Ops Engineers
Learn the top ten skills of AI and AI Ops engineers to build out your professional toolbox and boost your career.
Security Risks in AI and Machine Learning: Categorizing Attacks and Failure Modes
Learn how and why machine learning and artificial intelligence technology fails and understand ways to make these systems more secure and resilient.
AI Show: Federated Learning with Azure Machine Learning
On this episode of the AI Show, explore federated learning with Azure Machine Learning.
UX for AI: Design Practices for AI Developers
Discover new approaches to building better UX for AI applications using the Microsoft Copilot stack.
AI Show: Easier, Faster Training for your Hugging Face Models
On this episode of the AI Show, explore strategies for easier, faster training of Hugging Face models using Optimum and ONNX Runtime.