Understand before automating
- Day 01AI, automation, and agents
- Day 02Draw a workflow before building
- Day 03Seven useful AI task patterns
- Day 04JSON, APIs, webhooks, and OAuth
- Day 05Instructions and structured outputs
30 days · built for Kenya · beginner friendly
Go from “AI ni nini?” to a tested business agent you can demonstrate. You will map workflows, connect APIs, build with n8n and code, protect customer data, test failures and package a believable Kenyan client proposal.
No hype and no assumed tech background. English comes first; Kiswahili, Sheng, +254 and low-connectivity cases appear in the test pack.
About 60–75 minutes. Your bar remembers the day in Africa/Nairobi time.
Plain-language notes and a verified visual companion.
Follow the lab, then run normal, edge and failure tests.
A diagram, five essentials, three recall prompts and one-sentence wrap.
Six chapters keep the pace sensible. Every day has a Kenyan example, setup or build steps, a concrete test, a recap and exactly what to memorise.
All records are fictional. Live customer, health, school, SACCO and payment data stay out of the learning environment.
A form or webhook validates a +254 number, classifies English/Kiswahili intent, writes one CRM row and prepares a grounded reply.
Route pickup requests, calculate a deterministic quote, send reminders and keep an auditable status history—even when a webhook retries.
Combine grounded knowledge, one typed business tool, approvals, CRM logging, evaluation, observability, cost estimates and a proposal.
The full course gives Linux, macOS and Windows-friendly paths. No secret belongs in a prompt, screenshot, public repository or browser bundle.
Use Karibu Bites, Mwangaza Salon or Safisha Laundry—never real customer records.
Start with n8n Cloud or a local Docker sandbox; Make and Zapier are compared, not forced.
Use credential vaults and environment variables with capped API spend and separate test accounts.
Include valid, missing, duplicate, malicious, Kiswahili, misspelled and timeout cases.
Run a health check, send one fake webhook, inspect the log and remove the test record.
Titles and channels were checked on 16 August 2026. Interfaces change, so the written checklist and official docs remain the source of truth.
The course price covers the KODE Ń VIBE learning material and browser study tools. Any OpenAI usage, mobile data, external automation plan, hosting or client infrastructure is separate; free tiers or local sandboxes are used where practical.
Four supplied PDFs were deduplicated into one learning sequence. Unsupported marketing numbers and UAE pricing were removed rather than converted into fake Kenyan evidence.
New code uses the OpenAI Responses API and Agents SDK. Retiring Assistants and legacy Evals material is identified as history, not taught as the future.
OpenAI deprecations ↗Consent, purpose limitation, minimisation, retention, automated decisions and cloud transfers are introduced through Kenya Law and ODPC resources.
Data Protection Act ↗Daraja appears only through sandbox practice, HTTPS callbacks, server verification, replay safety and human confirmation—never browser secrets or blind “success” messages.
Safaricom Daraja ↗If a detail affects cost, safety or access, it should not be hidden in small print.
Yes. Day 0 covers accounts, safe sample data and tool setup. The course defines each acronym in plain English before using it, then gives an optional code route for learners who want deeper control.
No. It grants 30 days of access and does not renew automatically. If you want another month, you make another deliberate payment.
No. Those are third-party costs. The course starts with local sandboxes and free allowances where available, teaches spend caps, and tells you before a lab could incur usage charges.
No. Learning uses Safaricom’s Daraja sandbox and fictional records. Production credentials, financial data and real customer details require a separate security, legal and operational review.
Open Tired Mode from the universal bar. It gives the current lesson as a diagram, five key ideas, a Kenyan example, three recall questions and one sentence to remember. The quick read can hit your reading target, but practical labs remain visible.