Crash Course Artificial Intelligence Complete Full Curriculum | 5 Weeks

Teach all 20 Crash Course Artificial Intelligence episodes as a coherent five-week, two-unit high-school curriculum.

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 Full Curriculum - 2026 CSTA Standards Alignment Guide.docx, Crash Course Artificial Intelligence - 2026 Standards Update.xlsx, and the revised Crash Course Artificial Intelligence - Educator Planning Guide - 2026 Standards Update.docx. The crosswalk connects all 20 lessons plus weekly, unit, and cumulative assessments to current high-school Foundational standards and selective AI Specialty I outcomes for planning and administrator review. The original Forms, Slides, Teacher Guides, and assessments remain valid and do not need to be regenerated.

This Complete Full Curriculum combines the entire episode lesson ecosystem with weekly assessment/review banks, two cumulative unit assessments, a cumulative Final, an Educator Planning Guide, and a Student Syllabus. The course emphasizes conceptual understanding, transfer, evidence, and responsible decision-making rather than coding fluency or video trivia.

Try the lesson system free: FREE Crash Course Artificial Intelligence #1 What Is Artificial Intelligence?.

Preview the entire course plan free: Crash Course Artificial Intelligence Full Curriculum Educator Planning Guide.

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.

Course Architecture

• 5 weeks / 20 episodes / 2 units
• Four video-based lesson days per week
• Week 1: #01-#04 AI Foundations & Neural Learning
• Week 2: #05-#08 Learning from Data & Language; Unit 1 boundary
• Week 3: #09-#12 Decisions, Reasoning & Intelligent Systems
• Week 4: #13-#16 Applied AI, Collaboration & Recommendation
• Week 5: #17-#20 Search, Bias & the Future of AI; cumulative Final on Day 5
• No filler/support-day lesson DOCXs required

Unit Structure

• Unit 1 | Foundations of Learning Systems: From Data to Language — Weeks 1-2 / Episodes #01-#08
• Unit 2 | Intelligent Systems, Human Choices & Responsible Deployment — Weeks 3-5 / Episodes #09-#20

Assessment Architecture

• 5 weekly Assessment / Review banks (12 vocabulary, 10 A/B written-response blocks, 30 MC each)
• 2 Unit Assessments (15 vocabulary, 12 A/B written-response blocks, 40 MC each)
• 1 cumulative Final (20 vocabulary, 15 A/B written-response blocks, 60 MC)
• Assessment banks are intentionally larger than one class period so teachers can select, split, differentiate, review, or save items for retakes and make-up work
• Week 2 Day 5 prioritizes U01; W02 remains a flexible review/weekly-check bank
• Week 5 Day 5 is the cumulative Final; W05 and U02 remain flexible review/unit alternatives rather than three stacked full tests

Every Episode Lesson Includes

• Teacher Guide with learning targets, misconceptions/corrections, discussion prompts, vocabulary, answer keys, and model-answer guidance
• 5 vocabulary terms
• 4 chronological time-stamped A/B questions
• 2 end-of-video A/B synthesis/application questions
• 10-question multiple-choice quiz
• Self-graded Google Forms quiz
• Digital Student Worksheet
• Print-friendly Student Worksheet
• Multiple Choice Quiz Print version

Curriculum-Level Materials

• 5 Weekly Assessment / Review Teacher Guides with companion student/quiz formats
• 2 Unit Assessment Teacher Guides with companion student/quiz formats
• Cumulative Final Assessment with companion student/quiz formats
• Educator Planning Guide
• Student Syllabus
• START HERE PDF with shared-folder access instructions

Episode Sequence

• #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
• #11 Robotics
• #12 AI Playing Games
• #13 Video Game AI (LAB)
• #14 Humans and AI Working Together
• #15 How YouTube Knows What You Should Watch
• #16 Movie Recommendation System (LAB)
• #17 Web Search
• #18 Algorithmic Bias and Fairness
• #19 Cats vs. Dogs AI (LAB)
• #20 The Future of Artificial Intelligence

Flexible Pacing

• Standard: four episode days plus one assessment/review day each week.
• Compressed: select the highest-value guided questions and use smaller subsets of the assessment banks.
• Summer / Credit Recovery: preserve the conceptual order while reducing assigned questions before removing core ideas.
• LAB episodes: focus on data preparation, objective choice, evaluation, diagnosis, and iteration even if students do not run code.

Differentiation & Classroom Use

• Use vocabulary preview, sentence frames, partner talk, oral rehearsal, or selected answer-key review for additional support.
• Use digital materials for easy assignment and self-grading; use print versions for annotation, testing, or reduced screen time.
• Use selected questions for sub plans, make-up work, flipped lessons, enrichment, review, or independent study.
• Use missed assessment items diagnostically to distinguish vocabulary gaps, concept confusion, weak evidence, or overconfident conclusions.

Bundle Alternatives

• Crash Course Artificial Intelligence #1-#10 Video Lesson Set
• Crash Course Artificial Intelligence #11-#20 Video Lesson Set

Frequently Asked Questions

Are the Crash Course videos included?
No. This curriculum provides supplemental classroom materials designed for use with the publicly available Crash Course Artificial Intelligence videos.

Do I have to assign every item in the assessment banks?
No. The banks are intentionally robust so you can select the number and type of items that fit your schedule, students, and testing goals.

Does the five-week schedule require a separate filler lesson?
No. The locked pacing uses four video days per week. Day 5 is used for assessment, review, reteaching, or the cumulative Final.

Can students use the LAB lessons without coding?
Yes. The lesson materials emphasize the design and evaluation decisions behind each demonstration, so the LAB episodes remain useful without a code-follow-along requirement.

Can I use this with Google Classroom?
Yes. The lesson ecosystem includes digital student materials and self-graded Google Forms support, along with printable options.

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