Crash Course Artificial Intelligence #1-#10 Video Lesson Set | Machine Learning & Neural Networks

Make Crash Course Artificial Intelligence easier to teach with this no-prep 10-episode video lesson set for Grades 9-12.

2026 CSTA STANDARDS UPDATE INCLUDED: Open the existing START HERE file and enter the shared Google folder. You will now find Crash Course Artificial Intelligence #01-10 - 2026 CSTA Standards Alignment Guide.docx plus Crash Course Artificial Intelligence #01-10 - 2026 Standards Update.xlsx. These new files map Episodes #01–10 to the final 2026 CSTA PK–12 Computer Science Standards for lesson planning, standards reporting, and administrator review. Your original lesson files remain current and do not need to be replaced.

This set focuses on AI foundations, supervised learning, neural networks, training and testing, handwriting recognition, unsupervised learning, natural language processing, language modeling, reinforcement learning, and symbolic AI. Students follow each fast-paced episode with structured vocabulary, chronological A/B questions, end-of-video synthesis, multiple-choice review, and teacher-ready answer support.

Try it before you buy it: FREE Crash Course Artificial Intelligence #1 What Is Artificial Intelligence? lesson.

FREE CURRICULUM SNEAK PEEK: Download the free Crash Course Artificial Intelligence Full Curriculum Educator Planning Guide.

Want the complete curriculum layer too? Crash Course Artificial Intelligence Complete Full Curriculum adds five weekly assessment/review banks, two unit assessments, a cumulative Final, Educator Planning Guide, and Student Syllabus.

Episodes Included

• #1 What Is Artificial Intelligence?
• #2 Supervised Learning
• #3 Neural Networks and Deep Learning
• #4 Training Neural Networks
• #5 Handwriting Recognition (LAB)
• #6 Unsupervised Learning
• #7 Natural Language Processing
• #8 Language Modeling (LAB)
• #9 Reinforcement Learning
• #10 Symbolic AI

Classroom Use at a Glance

• Best Fit: grades 9-12 computer science, artificial intelligence, STEM, technology, digital literacy, and interdisciplinary electives
• Resource Type: YouTube video lesson worksheets, Teacher Guides, answer keys, and self-grading quizzes
• Prep Level: No-prep digital and printable lesson support
• Teacher Use: whole-class instruction, sub plans, flipped lessons, review, enrichment, make-up work, or independent study
• Student Skills: conceptual modeling, application, AI vocabulary, evidence-based reasoning, comparison, diagnosis, evaluation, and concise written response

New Optional Video Companion (used with YouTube)

Use the free Classroom Video Guide Companion Chrome extension with these lessons to automatically pause YouTube at question timestamps and display prompts during viewing. This optional tool can make whole-class, small-group, and independent video lessons easier to facilitate, but the resource works normally without it.

Guidance & Summary

• Each lesson is built around one Crash Course Artificial Intelligence episode and gives students a structured way to follow the video from beginning to end.
• Four chronological time-stamped A/B questions focus attention on important explanations and examples as they appear.
• Two end-of-video A/B questions ask students to synthesize or apply ideas after viewing.
• Teacher Guides include learning targets, misconceptions/corrections, discussion prompts, vocabulary, answer keys, and model-answer guidance.
• LAB episodes emphasize the model-building decisions behind the demonstration, so students can learn from them even when they do not run the code themselves.

Differentiation Options

• Use the Student Worksheet for guided viewing and written-response accountability.
• Use the 10-question multiple-choice quiz for quick review, formative assessment, Google Forms practice, or absent-student make-up work.
• Assign selected A/B questions for shorter periods or use the full lesson for deeper explanation.
• Support mixed-ability classrooms with vocabulary preview, replay of difficult sections, partner discussion, sentence frames, or selected answer-key review.

What's Included

• 10 Teacher Guides
• 10 digital Student Worksheet sets
• 10 print-friendly Student Worksheet sets
• 10 self-graded Google Forms multiple-choice quizzes
• 10 Multiple Choice Quiz Print versions
• Teacher answer keys and model-answer support
• 5 vocabulary terms, 4 chronological time-stamped A/B questions, 2 end-of-video A/B synthesis questions, and a 10-question multiple-choice quiz per episode
• Start Here PDF with access instructions

Flexible Lesson Pacing

• Quick Use: video + multiple-choice quiz for a short review, sub plan, or independent check.
• Standard Lesson: guided worksheet during viewing, then review selected questions as a class.
• Extended Lesson: add vocabulary preview, discussion prompts, written response, and comparison across episodes.

Skills Addressed

• Explaining how data, representations, objectives, rules, rewards, or human choices shape AI behavior
• Comparing AI approaches and choosing a reasonable approach for a problem at a conceptual level
• Using AI and computer-science vocabulary accurately in context
• Diagnosing overfitting, weak evaluation, proxy goals, feedback loops, or hidden assumptions
• Supporting conclusions with evidence from explanatory video content

Frequently Asked Questions

Are the videos included?
No. Videos are not included. This product provides classroom-ready materials designed for use with public Crash Course Artificial Intelligence videos on YouTube.

Can I use this for sub plans?
Yes. Each lesson is structured for guided viewing, written response, and quiz review with minimal preparation.

Can I use this with Google Classroom?
Yes. Digital student materials and Google Forms quiz support are included, along with printable options.

What grade levels is this best for?
This resource is designed for grades 9-12 computer science, AI, STEM, technology, digital literacy, and related courses.

Does this bundle include weekly, unit, or final assessments?
No. This is an episode-only bundle. The Complete Full Curriculum adds the five weekly assessment/review banks, two unit assessments, cumulative Final, planning guide, and syllabus.

Do students have to code the LAB episodes?
No. The LAB lesson materials focus on data choices, model behavior, evaluation, diagnosis, and iteration, so they remain useful even when students do not run the code.

Is this an official Crash Course product?
No. This independent educator-created resource is not affiliated with or endorsed by Crash Course or Complexly.