AI & Machine Learning: Foundations & Data – Volume 1 | Beginner-Friendly Complete Course Book

AI & Machine Learning Complete No-Prep Bundle | Volume 1: Foundations & Data

Teach Artificial Intelligence, Python, data science and introductory Machine Learning with one complete, ready-to-use bundle. This collection brings together the full set of AI & Machine Learning No-Prep Lessons created for Volume 1: Foundations & Data, alongside the complete 192-page course book. The resources follow a clear learning journey from the foundations of Artificial Intelligence to data handling, visualisation and the development of students’ first Machine Learning models. Each lesson is designed to reduce preparation time while providing structured explanations, practical activities and classroom-ready materials. The bundle covers all seven units: • Introduction to Artificial Intelligence • AI history, branches and real-world applications • Artificial Intelligence in Europe and the EU AI Act • Python, Anaconda and development environments • Jupyter Notebook, Google Colab, Kaggle and VS Code • NumPy and Pandas for data handling • Missing data and real European datasets • Data visualisation with Matplotlib and Seaborn • Supervised, unsupervised and reinforcement learning • The Machine Learning workflow • Overfitting, underfitting and evaluation metrics • Linear regression and feature engineering • Scikit-learn workflows and model development • Hyperparameter tuning and ensemble methods • K-Nearest Neighbours, Decision Trees, Support Vector Machines and Random Forests The included No-Prep Lessons provide ready-to-teach classroom support through presentations, student worksheets, practical activities, answer materials, assessment opportunities and lesson review tasks. The full course book adds detailed explanations, diagrams, code examples, comparison tables, key concepts, worked examples and practice exercises. Students also complete practical tasks using Python, Jupyter, NumPy, Pandas, Matplotlib and Scikit-learn. This bundle is suitable for secondary Computer Science, vocational education, introductory AI courses, coding clubs, homeschooling and independent learning. No previous Artificial Intelligence or Machine Learning experience is required. All resources in this bundle are also available separately. Purchasing the complete bundle provides the full Volume 1 learning sequence in one organised collection and offers better value than purchasing each No-Prep Lesson individually. What’s Included This bundle includes: Full 192-page AI & Machine Learning: Volume 1 — Foundations & Data course book Complete collection of Volume 1 No-Prep Lesson packs Teaching presentations Student worksheets Practical coding and data activities Answer materials Review and assessment tasks Classroom activities and exit-ticket style checks Resources covering all seven chapters of Book 1