Welcome to the Python Ninja Course! This engaging and interactive course is designed to introduce you to the fundamentals of Python programming through a fun and educational game. You will guide a Ninja through various challenges, using Python to control movements and interact with objects like sushi. Starting with the basics, you will learn how to navigate the map, pick up and place sushi, and gradually progress to more complex programming concepts such as functions, loops, and conditional statements. Each chapter offers hands-on practice to reinforce your learning, culminating in exciting challenges that test your skills. Whether you are a complete beginner or looking to sharpen your coding abilities, this course provides a comprehensive and enjoyable learning experience. Join us and become a coding Ninja!

Python is a high-level, interpreted, general-purpose programming
language. Distinguished from languages such as HTML, CSS, and JavaScript, which are mainly
utilized in web development, Python boasts versatility across multiple domains, including
software development, data science, and back-end development. This course will guide you
through Python's fundamental concepts, equipping you with the skills to create your own
functions by the conclusion of the program.

Networking Fundamentals is a comprehensive course designed for beginners and intermediate learners aiming to build practical skills in networking. Covering everything from foundational concepts to advanced applications, the course takes you through key topics including network types, IP addressing, protocols, and network security. By the end of this course, you'll be equipped with essential skills to troubleshoot, secure, and manage networks effectively, setting a solid foundation for further specialization in networking.

A beginner-friendly course introducing core information security concepts, common vulnerabilities, and best practices for developers, illustrated with real-world software development examples.

This course introduces the essentials of PowerShell for those new to scripting and automation. You will learn how to run scripts, use basic commands, work with variables and types, manipulate objects, use pipelines, manage files, handle errors, and automate tasks. Each section builds practical skills with clear examples and hands-on code samples.

Explore the foundational principles, risks, and best practices of cloud security. This course provides a comprehensive overview of how organizations protect data, applications, and infrastructure in cloud environments, using real-world case studies and conceptual frameworks.

Welcome to the Python Knight Course! This engaging and interactive course is designed to introduce you to the fundamentals of Python programming through a fun and educational game. You'll guide a knight through various challenges, using Python to control movements and interact with objects like coin. Starting with the basics, you'll learn how to navigate the map, pick up and place coins, and gradually progress to more complex programming concepts such as functions, loops, and conditional statements. Each chapter offers hands-on practice to reinforce your learning, culminating in exciting challenges that test your skills. Whether you're a complete beginner or looking to sharpen your coding abilities, this course provides a comprehensive and enjoyable learning experience. Join us and become a coding knight!

Introduces the fundamental concepts of supervised machine learning using Python. Covers key ideas such as classification and regression, and explains essential terminology including features, labels, and training and testing data.

Covers essential techniques for preparing raw data for supervised learning. Focuses on handling missing values, encoding categorical features, scaling and transforming numerical data, and creating meaningful features that improve model performance and reliability.


Explores regression techniques for modeling and predicting continuous outcomes using Python. Builds on linear regression foundations to analyze relationships between variables, interpret model coefficients, and evaluate predictive performance on real-world datasets.


A hands-on case study where you will analyze, visualize, and model individual health insurance costs using Python and pandas. You will clean and explore the data, extract insights, preprocess features, build a regression model, and interpret the results to understand what drives insurance pricing.

Introduces classification techniques for predicting categorical outcomes using Python. Focuses on building, training, and evaluating classification models, interpreting decision boundaries, and applying common algorithms to real-world datasets.


A hands-on, end-to-end data science project using Python to classify mushrooms as edible or poisonous based on their characteristics. This project guides you through data loading, cleaning, exploratory analysis, preprocessing, model building, and evaluation using the mushrooms.csv dataset.

Covers tree-based ensemble methods for supervised learning, including Random Forest, AdaBoost, Gradient Boosting, and stacking techniques, using Python and scikit-learn. Emphasizes hands-on model building, tuning, and evaluation through practical examples and real-world scenarios.


Build a zero-day phishing detection engine using structural heuristics and gradient boosting, following strict constraints: no functions, strictly linear code, and a single data load. Analyze, visualize, and classify phishing URLs using Python, pandas, seaborn, matplotlib, and scikit-learn.

Focuses on evaluating supervised learning models using appropriate performance metrics in Python. Explains how to assess regression and classification results, compare models objectively, and interpret metric values to make informed modeling decisions.


Introduces the core concepts, workflows, and practical techniques of supervised machine learning using Python. Moves from foundational principles to hands-on model building, evaluation, and best practices, developing essential skills for real-world data science and AI applications.


Learn how to get the most out of Claude for work, study, and everyday tasks. This course covers everything from writing better prompts and analysing documents to using advanced features such as Projects, Artifacts, Memory, Skills, and Connectors. You'll also explore how Claude integrates with tools like Chrome, Slack, Excel, PowerPoint, and mobile devices. By the end of the course, you'll be able to use Claude confidently to save time, improve productivity, and solve real-world problems more effectively.

You’ve used Claude in a chat window. You’ve typed a question, gotten an answer, copy-pasted the result, and done the work yourself.
That model of AI has a ceiling. This course is about what happens when you stop asking Claude for instructions and start handing it the job.
Cowork is Claude running in sync with your computer. It can read your files, edit them, create new ones, connect to your Gmail and Calendar and Slack, run tasks on a schedule while you sleep, and hand back finished deliverables instead of instructions.
By the end of this course, you’ll have a working Cowork operating system — a personal setup of skills, connectors, scheduled routines, and a live dashboard that handles your daily admin in the background, so you spend your time on the work only you can do.
This documentation accompanies the five-section video course. Every chapter follows the same structure — a clear definition, the core concept, a step-by-step walkthrough, why it matters, and what should be possible after watching.
Prompts, templates, and worked examples are included throughout.
What You’ll Build
By the end of the course, you’ll have a working  Cowork operating system  — a personal system of skills, connectors, scheduled routines, and a live dashboard, all wired together inside Cowork to handle your daily admin in the background.
Concretely, you’ll leave with:
A working understanding of Chat, Cowork, and Code — and when to reach for each.
A set of connectors authorized (Gmail, Calendar, Slack, Drive, or whatever you actually use every day).
At least one custom skill you wrote yourself, encoding a workflow you do every week.
Three scheduled tasks firing on their own — a morning brief, an end-of-day inbox triage, a Friday client recap.
A live dashboard that shows your entire day on one page and refreshes from your connectors every time you open it.
The recipes to keep extending your system as your work evolves.

Learn how to use Claude Code to plan, build, improve, and automate a practical business application. You will set up an effective project environment, give Claude reliable context, turn specifications into working features, create reusable skills, connect external tools, and schedule recurring processes.

Learn how to use Claude across everyday tasks, collaborative work, and coding projects. This track starts with the fundamentals, then introduces Claude Cowork for completing more complex workflows and Claude Code for working directly with projects, files, and development tasks.

Profilinformation

Læringsfremskridt