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CAICP Intensive Course cover

CAICP Intensive Course

Elementary16 lessons

Course Overview

The CAICP Intensive Course is an intensive program for the Youth Artificial Intelligence Competency Certification (CAICP). It covers three levels—Foundation (E), Junior (J), and Senior (S)—and uses Python as the programming language. Aligned with the certification syllabus, the course systematically teaches AI knowledge, trains computational thinking, strengthens Python programming skills, and finishes with past-paper mocks for exam sprint preparation. Students also train AI models hands-on—such as image classification and handwritten digit recognition—experiencing the full machine-learning pipeline from data to application, building exam readiness and AI literacy together.

CAICP-J Round 1 course cover
CAICP-J Round 1
8 class periods
CAICP-J Round 2 course cover
CAICP-J Round 2
8 class periods
Self-Directed Learning
After practice and review, actively revisit mistakes, summarize methods, adjust strategies, and take ownership of your learning.
Independent Decision-Making
In timed practice, judge trade-offs independently, plan answer order and time wisely, and take responsibility for every choice.
Self-Management
Plan your learning pace, stick to review schedules, and through repeated timed drills accumulate experience and perform steadily.
Engineering Thinking
In coding practice, go through reading, modeling, coding, and debugging end to end, and learn to solve under time and rule constraints.
Computational Thinking
Use decomposition, abstraction, pattern recognition, and algorithm design to analyze unfamiliar problems, and understand how AI works and where its limits lie.
Design Thinking
While training AI models hands-on, iterate from data selection to evaluation, improving the approach based on training results.
Cultural Understanding
Recognize AI's technical boundaries and social impact, understand the ethics behind the technology, and use AI responsibly.
Communication & Collaboration
Clearly explain your solution approach, listen carefully and compare others' methods, and refine your ideas through exchange.
Critical Thinking & Innovation
Speak with evidence, rationally examine AI-generated content and existing conclusions, try multiple solutions, and seek better paths.
Aligned with the Official Syllabus
Content is organized around the CAICP certification syllabus; AI knowledge, computational thinking, and Python programming map one-to-one with exam requirements for a clear prep direction.
Three Levels, Step by Step
Foundation, Junior, and Senior progress layer by layer; each level adds new assessed content on the previous one, with a clear advancement path.
Hands-on Model Training
Walk the full path from data collection and model training to validation; train image-classification and other AI models yourself—turning understanding into doing.
Comprehensive Exam Prep
Prep organized around real exam styles, covering knowledge, thinking, and programming question types; full-paper practice and item-by-item review check learning and close gaps.

📋 Sample Lessons (Trial)

1
Lesson 1: Generative AI
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