AI & Machine Learning Intermediate – Complete No Prep Teaching Bundle – Book 2 Units 01–07

AI & Machine Learning Intermediate – Complete No Prep Teaching Bundle – Book 2 Units 01–07

A complete, classroom-ready intermediate AI and machine learning teaching bundle for Computer Science, ICT, STEM, Python, artificial intelligence, machine learning and data science lessons.

This bundle includes 7 no-prep lesson packs covering regression, clustering, model evaluation, neural networks, deep learning, computer vision and natural language processing. It is designed for teachers who want ready-to-use lesson materials without building slides, worksheets, answer keys, teaching notes and classroom activities from scratch.

This bundle is prepared as part of Fatih ARICA’s AI & Machine Learning Intermediate teaching resource series and is designed to support the AI & Machine Learning: European Edition learning sequence.

Units included:

• Book 2 Unit 01 – Regression Algorithms
• Book 2 Unit 02 – Unsupervised Learning & Clustering
• Book 2 Unit 03 – Model Evaluation & Validation
• Book 2 Unit 04 – Neural Networks from Scratch
• Book 2 Unit 05 – Deep Learning with TensorFlow & Keras
• Book 2 Unit 06 – Computer Vision
• Book 2 Unit 07 – Natural Language Processing

Each unit includes:

• Course Promo Page PDF and editable DOCX
• Full Teacher Package PDF and editable DOCX
• Lesson Plan PDF and editable DOCX
• Summary Notes PDF and editable DOCX
• Student Worksheet PDF and editable DOCX
• Answer Key PDF and editable DOCX
• Teacher Handbook PDF and editable DOCX
• Printable Activity Cards PDF and editable DOCX
• Exit Tickets PDF and editable DOCX
• PowerPoint slide deck
• 800 × 600 TES cover image
• Read Me First file

Students will learn to:

• Build understanding of regression and continuous prediction
• Explore unsupervised learning and clustering methods
• Evaluate machine learning models using suitable metrics
• Understand neural networks, layers, activations and backpropagation
• Learn deep learning concepts using TensorFlow and Keras
• Understand computer vision tasks such as classification, detection and segmentation
• Explore natural language processing, text preprocessing, sentiment analysis and NLP pipelines
• Connect advanced AI systems with responsible AI, bias, fairness, privacy and reliability

Ideal for:

• Computer Science lessons
• ICT and digital skills lessons
• STEM enrichment
• Intermediate AI and machine learning units
• Python machine learning lessons
• Data science introduction lessons
• Secondary, high school and vocational education
• Non-specialist teachers introducing intermediate AI concepts

This bundle can be used as a complete intermediate AI and Machine Learning teaching sequence or as individual standalone lesson packs.

Resource type: Lesson bundle / Unit of work
Age range: 14-16, 16+
Subject: Computer Science
Level: Intermediate AI & Machine Learning
Format: PDF, editable DOCX and PowerPoint PPTX files