✓What AI agents are and how they differ from chatbots
✓The five components of every agent: perception, planning, tool use, memory, feedback loop
✓How LLMs work internally — tokenisation, transformers, parameters
✓Online vs local model hosting — APIs and Ollama
✓AI ethics and accountability — privacy, bias, transparency
Phase 2 — Exploration (Weeks 3–4)
✓12 worked agent examples across healthcare, research, and personal assistant domains
✓How to choose between Make, n8n, OpenClaw/Hermes, and Agno for your project
✓How to write a one-page Project Idea Brief that defines a real problem
✓The infrastructure vs application layer distinction
Phase 3 — Build (Weeks 5–8)
✓How to design an agent architecture before writing a single line
✓How to build a working prototype iteratively — happy path first
✓How to document a project README that is useful to others
✓How to run edge case tests and document failures honestly
✓How to write an ethics review that goes beyond generic statements
Phase 4 — Showcase (Weeks 9–10)
✓How to record a compelling 3-minute demo
✓How to present your work to a real audience
✓How to receive and incorporate feedback on a live prototype
What to Submit
To receive your certificate, put all four deliverables in your GitHub repository and submit it in the box at the end of this lesson.
01
Working Agent Prototype
Your GitHub repository, containing all project files. The prototype must be runnable, so include a README with setup instructions.
02
Demo Recording
A 2–5 minute screen recording showing the agent working with real input. Upload to YouTube (unlisted) or Google Drive and include the link.
03
Project README
The six-section README completed during Phases 2 and 3. Minimum 400 words. Include your edge case test results.
04
Ethics Review
The four-dimension ethics review. This is assessed separately from the README. Put it in ethics-review.md in the root of your repository.
Launch Pathways
The best projects are selected for the Launch Pathway during the course closing session. Five options are available.
→
Incubator Referral
Introduction to a bioERGOtech partner incubator for projects with commercial potential.
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IP Briefing
A session with a legal professional covering your options for protecting, licensing, or open-sourcing your work.
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Open-Source Release
Support for releasing your project on GitHub with proper documentation and licensing.
→
Publication Support
Guidance on writing up your project as a case study or technical note for publication.
→
Letter of Recommendation
A personalised letter from the bioERGOtech Foundation for university applications or future employment.
Watch: Inspiration for what comes next — recommended by bioERGOtech
How to Submit Your Project
To complete the course, upload your project to GitHub and share the link in your final submission. Create your own repository and share the link — this keeps your work in your own GitHub profile, which is more useful for your portfolio than a shared folder.
Method 1 — Browser Upload (Track A)
Watch: Upload your project folder to GitHub — Track A recommended method (8 min)
Method 2 — VS Code Upload (Track B)
Watch: Push your project to GitHub from VS Code — Track B recommended method (10 min)
Method 3 — Git Command Line (Track C)
Watch: Full Git terminal workflow — Track C recommended method (12 min)
Submission Steps — All Tracks
1
Create a free GitHub account and a public repository if you have not yet (the GitHub guide linked from Lesson 4.4 shows how)
2
Upload your project files using the method for your track above
3
Make sure README.md and ethics-review.md are in the root of your repository
4
Write your Student ID in the Team section of README.md (every team member adds their own)
5
Add your demo video to the repository, or link it in the README (YouTube unlisted, Google Drive, Loom or Vimeo)
6
Submit the repository link in the box at the end of this lesson
Key Insight
Uploading to GitHub is not just a submission requirement — it is your first act as an open-source contributor. Your project will be publicly visible to the bioERGOtech network and anyone who reviews your profile for university or employment.
🎓
You started with an idea.
You built something real. You thought carefully about what it means to build with AI. That combination — technical capability, domain knowledge, and ethical awareness — is genuinely rare and genuinely valuable.
📝 Your Lesson Submission
Share your reflection, ask a question, or leave a comment. The bioERGOtech team will respond.
🔐
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