Our Courses

Mathematical Methods for Data Analysis

Learn mathematical methods for data analysis including mathematical formulations and computational methods. Some well-known machine learning algorithms such as k-means are introduced in the examples.

• Course by
• Self Paced
• 21
• English

Computer Vision and Image Processing Fundamentals

Learn about computer vision, one of the most exciting fields in machine learning. artificial intelligence and computer science.

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• Self Paced
• 10
• English

Guided Project: Web Development w/ HTML & CSS for Beginners

Web developer positions are projected to grow 23 percent through 2031. Get started with no coding experience necessary and at no cost. You can learn six job-ready HTML and CSS skills needed to create and format a simple web page in under an hour.

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• Self Paced
• English

Guided Project: Secure Analysis of a Credit Card Dataset

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• Self Paced
• English

Guided Project: Get Started with Data Science in Agriculture

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• Self Paced
• English

Guided Project: Create Engaging Reports using Jupyter Book

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• Self Paced
• English

Guided Project: Get Started with Red Hat OpenShift

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• Self Paced
• English

Guided Project: Predict World Cup Soccer Results with ML

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• Self Paced
• English

Guided Project: Learn JavaScript with Rock-Paper-Scissors

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• Self Paced
• English

Guided Project: Containerize Java Microservices with Docker

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• Self Paced
• English

Guided Project: Get Started with Cloudant NoSQL Database

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• Self Paced
• English

Guided Project: Deploy a Serverless App on IBM Code Engine

Developers, no matter what the language, who have containerization and cloud skills are in demand. With basic Python knowledge, in an hour, you gain containerization and cloud deployment skills that employers want and that you can use with any application.

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• English

Guided Project: Get Started with Containers and Registries

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• Self Paced
• English

Guided Project: Create your first RESTful API with Express

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• Self Paced
• English

Guided Project: Get Started with MySQL database

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• Self Paced
• English

Guided Project: Get Started with IBM Db2 on Cloud

Develop fundamental database skills, including table creation, loading data, and writing queries using IBM Db2 on Cloud. Explore Db2 on Cloud scalability, availability, and ease-of-use and gain job-ready skills with this hour-long, hands-on guided project.

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• English

Guided Project: Build your first Node.js app

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• Self Paced
• English

Guided Project: GitHub and GitHub Branches for Beginners

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• Self Paced
• English

Guided Project: Scaling Applications with Kubernetes

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• Self Paced
• English

Guided Project: Get Started with MongoDB CRUD Operations

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• Self Paced
• English

Guided Project: Create & Load tables in PostgreSQL database

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• Self Paced
• English

Guided Project: Create and Deploy Your First Kubernetes Pod

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• Self Paced
• English

Guided Project: Red Hat OpenShift Deploy Scale & Manage Apps

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• Self Paced
• English

Linux Commands & Shell Scripting

This mini-course describes shell commands and how to use the advanced features of the Bash shell to automate complicated database tasks. For those not familiar with shell scripting, this course provides an overview of common Linux Shell Commands and shell scripting basics.

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• Self Paced
• English

PyTorch Basics for Machine Learning

This course is the first part in a two part course and will teach you the fundamentals of PyTorch. In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will quickly iterate through different aspects of PyTorch giving you strong foundations and all the prerequisites you need before you build deep learning models.

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• Self Paced
• English