AI Literacy and Responsible AI
Spot weak AI answers
Critique AI outputs and keep humans accountable
AI Literacy and Responsible AI for Africoders Young. Uses African/Nigerian examples where natural. Independent educator review remains outstanding. Never share passwords or personal contact details in exercises. This draft stays unpublished until junior publication authorization.
Included with this course
AI Tutor on every lesson
Ask for explanations, examples, or hints while you study — answers stay tied to the lesson you are on.
What you will learn
- Spot weak AI answers
- Discuss bias with examples
- Cite AI assistance honestly
- Draft a responsible-use rule
Who this course is for
- Learners ages 13–17
Skills you will develop
africoders-young · builders
Prerequisites
- Builders coding foundations helpful
- Willingness to verify claims
Who this is for
- Learners ages 13–17
Prerequisites
- Builders coding foundations helpful
- Willingness to verify claims
Skills you’ll develop
Course completion demonstrates these skills. Verification requires assessment or reviewed challenge work.
What you will build and prove
- Quiz: AI Literacy and Responsible AI — Module 1 check (pass 70%)
- Quiz: AI Literacy and Responsible AI — Module 2 check (pass 70%)
- Quiz: AI Literacy and Responsible AI — Module 3 check (pass 70%)
- Quiz: AI Literacy and Responsible AI — Module 4 check (pass 70%)
- Final assessment: AI Literacy and Responsible AI — final knowledge check (pass 70%)
Course journey
How this free course is structured — watch, practise, and progress module by module.
- How models guess
- Bias and fairness
- Academic integrity
- Governance habits
Assessment
- AI Literacy and Responsible AI — Module 1 check · pass mark 70%
- AI Literacy and Responsible AI — Module 2 check · pass mark 70%
- AI Literacy and Responsible AI — Module 3 check · pass mark 70%
- AI Literacy and Responsible AI — Module 4 check · pass mark 70%
- AI Literacy and Responsible AI — final knowledge check · pass mark 70%
Prove
Course completion means finishing required lessons , and the course assessment . That grants a certificate of completion — not a professional certification.
Curriculum
Week 1: How models guess
- Training data limits Preview 15min
- Hallucinations / Practice: spot a fabricated fact 17min
Week 2: Bias and fairness
- Who is left out? 15min
- African context checks / Practice: critique a biased tip 17min
Week 3: Academic integrity
- Cite AI help 15min
- Do your own thinking / Practice: rewrite with attribution 17min
Week 4: Governance habits
- Human review gates 15min
- Privacy before prompts / Final project: responsible AI policy 17min
Free to enroll — no purchase required.
Instructor: Africoders
AI Tutor
Ask questions inside every lesson
Get explanations, examples, and hints while you learn — without leaving the course player. Free daily asks for signed-in members.
Includes AI Tutor in every lesson after you join.
Course forum →