A zero-experience curriculum. By Week 6, students hold a living portfolio with 6 real projects — a website, data report, Python app, AI showcase, design piece, and a capstone they own.
Highlights
Students map and annotate all the technology in their daily life — phone, laptop, router, apps, streaming — explaining what each component does and how they connect.
Published as a polished Canva infographic or illustrated PDF.
Students choose a public dataset that matters to them — Nigerian state populations, Premier League standings, fuel price history, youth unemployment figures — and produce a 5-chart analysis with a written narrative answering one specific question.
Exported as a polished PDF report.
Students hand-code a personal portfolio site and deploy it live.
A live website is one of the most valuable beginner portfolio pieces.
Students build a text-based quiz game themed around something they care about — music, football, Nigerian history, science.
The game runs live on Replit with a shareable link.
Students pick a real problem in their school, community, or field of interest and test three different AI tools to solve it.
They document prompts, outputs, failures, and bias.
Students define a problem they personally care about and build a solution using any tools from the course.
Examples: a website, a data analysis report, a Python tool, an AI-powered guide.
| Week | Project | Output |
|---|---|---|
| Week 1 | My Tech World Map | Infographic / PDF |
| Week 2 | Real-World Data Story | Charts + Report |
| Week 3 | Personal Portfolio Website | Live GitHub Pages site |
| Week 4 | Interactive Quiz Game | Python App |
| Week 5 | AI Tool Report | Prompt Engineering Showcase |
| Week 6 | Capstone | Live Project + Demo |
Students finish the course with a fully shareable portfolio proving their ability.
Students build across web, data, coding, AI, and design instead of specializing too early.
Every project has a real URL or shareable link. Employers and admissions officers can click and see real work.
The course begins with zero coding and ends with students shipping a full product.
AI tools, prompt engineering, and GitHub workflows are built into the curriculum from the start.