Academy Catalogue

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Every subject area across the active Nonofo Academy learning schools.

13 courses

  • Course 1 · Website, Part 1
    Available now

    Build and Launch a Professional Website with AI

    Learn to use AI-assisted website-building tools to create, test and launch your own real working website. You plan it, write its content, build its pages, add a safe contact form, test it on phones and desktops, publish it on a free web address and submit it as your final project. A free web address is all you need to complete this course.

    View details
  • Course 2 · Website, Part 2
    In preparation — preview only

    Domains and Deployment

    Plan how your website moves to (or stays on) a professional address, with DNS, HTTPS, redirects, email, search, sharing, testing and maintenance covered — without buying anything during the course.

    Course outline
    1. Module 1

      • Free platform address versus custom domain
      • Choosing a good domain name
      • Buying and renewing a domain safely
      • Module 1 review: your domain plan
    2. Module 2

      • How DNS records work
      • Connecting a domain and verifying ownership
      • HTTPS and SSL certificates
      • Redirects and choosing a primary address
    3. Module 3

      • Professional email overview
      • Search basics: titles, descriptions and pages
      • Sharing previews: how your link looks on social apps
      • Module 3 review: launch-readiness check
    4. Module 4

      • Live-domain testing checklist
      • Maintenance: renewals, updates and backups
      • Troubleshooting common domain and launch problems
      • Part 2 project: domain and deployment plan

    Not yet open for enrolment. Lessons are not available.

  • Course 3 · Website, Part 3
    In preparation — preview only

    Business Website Features and Integrations

    Plan, add and test business features on your own website using test modes and fictional data, with privacy and consent covered.

    Course outline
    1. Module 1

      • Planning the features your business website needs
      • Contact form email notifications
      • Calendars, Google Meet and booking workflows
      • Module 1 review: enquiry-to-booking journey
    2. Module 2

      • How online payment providers work
      • Paystack in test mode
      • Selling paid services: terms, refunds and failed payments
      • Module 2 review: payment readiness
    3. Module 3

      • Newsletters and email lists
      • WhatsApp and support links
      • Privacy notices and consent
      • Module 3 review: channels and consent check
    4. Module 4

      • Integration testing plan
      • Monitoring, ownership and handover
      • Troubleshooting integrations
      • Project: business features and integrations pack

    Not yet open for enrolment. Lessons are not available.

  • Course 4 · Website, Part 4
    In preparation — preview only

    Advanced AI Websites and Automation

    Show advanced, controlled AI-built features on your own website using fictional data and test modes.

    Course outline
    1. Module 1

      • Advanced prompting: context, constraints and acceptance checks
      • Reusable Build Packs for your own projects
      • Dynamic pages and reusable components
      • Module 1 review: Build Pack and component audit
    2. Module 2

      • Advanced forms: multi-step, conditional and validated
      • Calculators and quote estimators
      • Owner dashboards and site search
      • Module 2 review: forms, tools and access check
    3. Module 3

      • Lead workflows: capture, status and follow-up
      • Automating lead follow-up safely
      • AI-assisted personalisation with consent
      • Module 3 review: lead and personalisation check
    4. Module 4

      • Monitoring automations and AI features
      • Cost and safety controls for AI features
      • Troubleshooting advanced features and AI regressions
      • Project: advanced AI website and automation pack

    Not yet open for enrolment. Lessons are not available.

  • Course 5 · Web App, Part 1
    Available now

    Build an Interactive Web App with AI

    Build a working interactive web application with AI-assisted tools. Define the product idea and user workflow, design the interface and navigation, add forms and user actions, plan the data structure, understand authentication concepts, test functional workflows and error handling, check responsive behaviour and deploy the app with evidence of it working.

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  • Course 6 · Web App, Part 2
    In preparation — preview only

    Add Data, Accounts and Workflows to Web Apps

    Build a small web app with sign-in, role-based permissions enforced in storage, made-up stored records and one approval workflow with audit history.

    Course outline
    1. Module 1

      • Databases, tables, fields and relationships
      • Registration, sign-in and user profiles
      • Roles and permissions — enforced where the data lives
      • Public data versus private user data
    2. Module 2

      • Dashboards from stored data
      • Search, filters and sorting
      • Validation on the page and in storage
      • Safe file-upload workflows
    3. Module 3

      • Approval workflows
      • Notifications for workflow changes
      • Audit history
      • Direct-access testing as the wrong user
    4. Module 4

      • Backups, restore and test-data hygiene
      • Secrets, keys and privacy review
      • Troubleshooting data and permission problems
      • Project: web app with accounts, stored data and a controlled workflow

    Not yet open for enrolment. Lessons are not available.

  • Course 7 · Web App, Part 3
    In preparation — preview only

    Launch and Operate AI-Built Web Applications

    Launch your own web app as a practice deployment on your own address with test data, and document how it is secured, monitored, supported and maintained.

    Course outline
    1. Module 1

      • Production-readiness planning
      • Security and permission testing before launch
      • Privacy and data protection
      • Module 1 review: go/no-go check
    2. Module 2

      • Safe practice deployment
      • Versioning and release notes
      • Backups and restore drills
      • Maintenance routine
    3. Module 3

      • Performance and error monitoring
      • User support
      • Incident response
      • Module 3 review: operations check
    4. Module 4

      • Cost control
      • Privacy-friendly analytics
      • Operations handbook
      • Project: tested, deployed and documented web app

    Not yet open for enrolment. Lessons are not available.

  • Course 8 · AI Agents, Part 1
    Available now

    Build AI Agents and Business Bots

    Build a practical AI agent or business bot for a defined business use case. Design agent instructions and prompts, prepare approved knowledge, plan tools and workflow actions, integrate it with a website or business process, design human handoff, apply safety and responsible use, test and improve it, and deploy it with evidence of it working.

    View details
  • Course 9 · AI Agents, Part 2
    In preparation — preview only

    Connect AI Agents to Business Workflows

    Design and simulate one end-to-end business workflow where AI assists, a person approves sensitive actions, and every step is logged. No real connections.

    Course outline
    1. Module 1

      • From assistant to workflow: triggers, actions and controls
      • Practice environment: simulations, test inboxes and test modes
      • Forms and lead capture
      • Module 1 review: workflow and environment check
    2. Module 2

      • Email workflows with approval before sending
      • Calendar and booking workflows
      • Customer support workflows
      • Notifications
    3. Module 3

      • Customer-record workflows
      • Internal business tasks
      • Payment boundaries
      • Approval before sensitive actions
    4. Module 4

      • Action logging and human review
      • Failures, off switch and monitoring
      • From practice to live: readiness checklist (not performed in this course)
      • Project: one controlled workflow for a made-up business

    Not yet open for enrolment. Lessons are not available.

  • Course 10 · AI Agents, Part 3
    In preparation — preview only

    Test, Secure and Deploy AI Agents

    Test an AI agent's accuracy, safety, privacy, permissions, abuse resistance, human handoffs, cost limits and reliability, then prepare a safe deployment-readiness plan.

    Course outline
    1. Module 1

      • Define the agent's purpose, users and risks
      • Set up a practice environment with made-up data
      • Build a test set for accuracy, unsupported claims and 'I don't know'
      • Review the test plan and decide what counts as pass or fail
    2. Module 2

      • Test prompt injection and attempts to override instructions
      • Protect privacy and test requests for other users' data
      • Check permissions and access boundaries
      • Test misuse, repeated requests and abuse scenarios
    3. Module 3

      • Design and test escalation to a person
      • Set usage and spending limits with a clear stop condition
      • Version instructions and approved knowledge
      • Run regression tests after changes and compare results
    4. Module 4

      • Monitor failures, quality and usage without unnecessary tracking
      • Practise incident response, user communication and an emergency off switch
      • Complete a deployment-readiness checklist (checklist only — do not deploy)
      • Submit the final project and evidence

    Not yet open for enrolment. Lessons are not available.

  • Course 11 · AI Agents, Part 4
    In preparation — preview only

    AI Agent Capstone: Plan, Build and Present a Business Assistant

    Plan, assemble, test, improve and present one complete practice business assistant with one controlled workflow, and package it as an honest portfolio case study.

    Course outline
    1. Module 1

      • The capstone: what you will build and how it is judged
      • Choose one realistic need for a made-up business
      • Define users, scope and success measures
      • Risks, limits and the plan sign-off
    2. Module 2

      • Prepare practice data and the knowledge source
      • Assemble the assistant from your plan
      • Connect one controlled workflow in simulation
      • End-to-end walkthrough and build record
    3. Module 3

      • Run your Course 10 test pack against the capstone
      • Privacy, security, cost-limit and handoff checks
      • One improvement round and regression
      • Readiness decision for the practice capstone
    4. Module 4

      • User guide and operating handover
      • Capability-and-limit statement and cost summary
      • Structured feedback and final adjustments
      • Final project: portfolio case study and submission

    Not yet open for enrolment. Lessons are not available.

  • Course 12 · Mobile App, Part 1
    Available now

    Build a Mobile App with AI

    Learn how to turn a useful idea into a mobile-first or installable application using AI-assisted and no-code or low-code workflows. Plan screens and data, test the experience on real device sizes, and understand the difference between a progressive web app and a store-distributed native app.

    View details
  • Course 13 · Mobile App, Part 2
    In preparation — preview only

    Launch and Maintain Mobile Apps

    Decide the right distribution route for a mobile app, prepare a complete store-or-PWA release pack, and plan responsible updates, monitoring and maintenance — without promising approval, downloads or income.

    Course outline
    1. Module 1

      • From prototype to release: what changes
      • Web app, installable PWA or store app: choose the route
      • Platform requirements map
      • Module 1 review: release plan sign-off
    2. Module 2

      • App identity, signing and versioning
      • Permissions and privacy disclosures
      • Store listing and honest marketing
      • Build the release pack and pre-submission review
    3. Module 3

      • Pre-release testing tracks
      • Review outcomes and handling rejection
      • Staged rollout and phased release
      • Module 3 review: release readiness decision
    4. Module 4

      • Updates, compatibility and store policy changes
      • Mobile-specific monitoring and reviews
      • Hotfixes, rollback and removal
      • Maintenance handbook and final project submission

    Not yet open for enrolment. Lessons are not available.

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Every subject area sits inside one of the active learning schools, each with its own purpose, learners and expected outcomes.

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