Courses

Move beyond the demo and build a Claude Code agent your team can operate. You will implement tool boundaries, evaluation gates and recovery paths, then assemble the evidence for a production-readiness review.

What does it really mean to “observe” the Universe? This course trains you to think like an observational astronomer, moving from intuition to first-principles reasoning about light and matter, plus interactions between them. You will build a coherent picture of astrophysics by following real observational clues and turning data into explanations.

Many Linux System Administrators struggle with Ansible, I created a book that gives you copy-and-paste Playbook code and solves the most common errors that you could use to save time every day. 

This course on AI for efficient programming explores the use of AI large language models and their potential benefits and challenges. Through examples and hands-on activities, students will develop an understanding of the ways in which AI can speed up software development tasks and free up time for more creative and strategic work.

Whether a medical student reading their first journal article or a healthcare professional trying to use the latest research to improve patient care, this course will help you understand data and statistics in the medical literature in an efficient and conceptual manner.

Learn how to use R confidently for real social research. This hands-on course guides you through data wrangling in R, data visualisation in R, and core statistical methods using practical examples with real-world data. Build a solid R workflow you can apply to your own data right away.

This course is based on the 2025 edition of the best-selling Kubernetes book, that has been fully updated for the latest versions of Kubernetes and the latest industry trends. You won't find a better and more up-to-date book-based course on Kubernetes. Hand-crafted over the past 8 years by best-selling author Nigel Poulton.

This course covers how to use GitHub actions for scientific software development. We encourage the recognition that scientific software can take many forms that can all benefit from the concepts of continuous integration and continuous deployment.

The course covers basic information about why LaTeX can be useful, how to get started in Overleaf using LaTeX with a template, how to work with a team on Overleaf, and what to do when you encounter problems.

Ever wonder how computers work on a fundamental level? Or have you wondered how cloud computing works? In this course we will discuss fundamental computing concepts and how this knowledge can help you take your bioinformatics research further.

This course is meant to equip learners with reproducibility skills they can apply to their existing analyses scripts and projects. This course opts for an “ease into it” approach. We attempt to give learners doable, incremental steps to increase the reproducibility of their analyses.

This course gives you an intuitive understanding of the eight most important machine learning algorithms. It helps you get started using them in your own projects NOW -- in a single line of Python code. After finishing this course, you'll be able to select, understand, and implement the top 8 machine learning algorithms in your own projects.

Pass AUTOCOR 350-901 v2.0 by learning to read and complete real automation code: Ansible, Terraform, RESTCONF, Python, CI/CD, pyATS, MCP and AI agents. 31 lessons, 31 quizzes, 30 exercises and a full mock exam.

"A user reports an app is down. Disk is at 100%. SSH is timing out. What’s your next move?"Stop memorizing endless command lists. Learn how to diagnose, fix, and automate real enterprise Linux environments.📖 Linux System Administration: From CLI Basics to Server Operations 🛠️ Coming soon. Master the terminal, own the server.