AI Development Environment Setup – Python, Colab & VS Code No Prep Lesson Pack – Unit 02

AI Development Environment Setup – Python, Colab & VS Code No Prep Lesson Pack – Unit 02

A complete, classroom-ready AI development environment setup resource for beginner Computer Science, ICT, STEM, Python, artificial intelligence and machine learning lessons.

This no-prep lesson pack helps students understand the tools used to build, test and run beginner AI and machine learning projects. Students explore local and cloud-based development environments, including Python, Jupyter Notebook, Google Colab, VS Code, Kaggle and basic environment management.

The unit is designed to help teachers introduce AI development tools without requiring advanced machine learning expertise. Students learn why setup matters, how notebooks support experimentation, how cloud tools reduce installation barriers, and how good project organisation supports reliable AI workflows.

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

What is included:

• 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
• Slide deck PDF
• 800 × 600 TES cover image
• Read Me First file

Students will learn to:

• Explain why AI development environments matter
• Compare local and cloud-based AI tools
• Understand the role of Python in beginner AI projects
• Identify the purpose of Jupyter Notebook, Google Colab, VS Code and Kaggle
• Recognise why environments and dependencies need careful management
• Follow safe classroom setup routines for beginner AI work
• Apply understanding through worksheets, activity cards and exit tickets

Ideal for:

• Computer Science lessons
• ICT and digital skills lessons
• STEM enrichment
• Beginner Python lessons
• Artificial intelligence and machine learning units
• Data science introduction lessons
• Secondary, high school and vocational education
• Non-specialist teachers introducing AI development tools

This is Unit 02 of the AI & Machine Learning Fundamentals Series. It follows the free introductory Unit 01 – Introduction to Artificial Intelligence and helps students prepare the tools used to build and test beginner AI systems.

Continue the sequence with Unit 03 – Data Handling with NumPy & Pandas.

Resource type: Lesson (complete)
Age range: 14-16, 16+
Subject: Computer Science
Level: Beginner AI & Machine Learning
Format: PDF, editable DOCX, PowerPoint PPTX and PNG files