AI Automation & Intelligent Systems · Eight-week programme
Turn everyday tasks
into intelligent workflows.
A practical, portfolio-driven programme for building AI-powered systems that solve real problems in Nigerian businesses, schools, administration, community organisations and personal productivity.
Register for AI Automation
8 weeksTotal programme duration
6 + 2Core lessons + dedicated capstone period
24 sessionsThree live sessions per week
Course goals
Progress from AI foundations and prompt engineering to multi-step workflows, assistants, data integrations and reliable automation systems. Practise with local business and education scenarios, then build and present a working capstone solution.
Weeks 1–6 cover the core lessons. Weeks 7–8 are dedicated to capstone development, integration, testing, documentation and presentations.
What you’ll be able to do
- Use AI tools professionally and responsibly.
- Build intelligent automation systems and AI-powered workflows.
- Automate business, education, administration and productivity tasks.
- Design AI assistants and connect applications.
- Test, document and explain portfolio-ready solutions.
- Develop solutions you can offer as professional automation services.
The curriculum
Eight weeks of practical learning
Expand each week to explore its sessions, activities, assessments and portfolio deliverables.
01 / Core lessons · Weeks 1–6
01
Week 1: AI Foundations & Prompt Engineering
Concepts · Guided practice · Assessment
+
Day 1 · Understanding the AI Ecosystem
- Setting up AI tools and accounts; introduction to ChatGPT, Claude, and Gemini
- What large language models (LLMs) are; AI versus traditional software
- AI opportunities in Nigeria and real-world automation examples
- Demonstrations: school administration, small businesses, customer communication, and content creation
- Hands-on: generate a timetable, business name ideas, social media captions, and school announcements
Day 2 · Mastering Prompt Engineering
- Anatomy of effective prompts; context, role, constraint, few-shot, and persona prompting
- Prompt refinement, iteration, and evaluating output quality
- Guided practice: prompts for CVs, emails, lesson notes, customer support, and product descriptions
- Nigerian use cases: POS business communication, parent-teacher announcements, fashion vendor marketing, and church communications
Day 3 · Practical Application & Assessment
- Activity: The Prompt Challenge—turn weak prompts into clear professional instructions
- Quiz: prompt frameworks, AI ethics, and AI limitations
- Assignment: Power Prompt Library with 5 business, 3 education, 2 customer-support, and 2 social-media prompts
- Portfolio: AI Productivity Starter Kit and personal AI workflow document
02
Week 2: AI for Productivity & Content Automation
Concepts · Guided practice · Assessment
+
Day 1 · Content Generation Systems
- AI for text, images, presentations, and research assistance
- Maintaining consistent brand voice and reviewing generated content
- Demonstrations: Canva AI tools, AI slide generation, and document drafting
- Hands-on: create a business flyer, social-media campaign, presentation, and product descriptions
Day 2 · Personal & Workplace Productivity Automation
- AI for email management, meeting summaries, note organization, scheduling, and Google Workspace
- Guided practice: automate meeting-note summaries, expense tracking, attendance systems, and result-computation templates
- Nigerian use cases: school result management, small-business sales tracking, vendor inventory logs, and church event planning
Day 3 · Practical Application & Assessment
- Activity: build a weekly content calendar using AI-generated drafts and automation tools
- Quiz: productivity tools, responsible AI use, and content-automation ethics
- Assignment: build a Personal Productivity Stack using at least 3 AI tools and targeting at least 2 hours saved weekly
- Portfolio: screenshots, workflow explanation, and before-versus-after productivity comparison
03
Week 3: Workflow Automation & Integrations
Concepts · Guided practice · Assessment
+
Day 1 · Introduction to Automation Platforms
- Workflow automation concepts; triggers, actions, and no-code automation
- Connecting applications with Zapier, Make, Google Forms, and Airtable
- Hands-on: automate form responses, email notifications, attendance tracking, and customer inquiries
Day 2 · Building Multi-Step Intelligent Workflows
- AI as a decision-making layer; filters, conditions, data transfer, and multi-step workflow logic
- Guided practice: customer onboarding, lead response, student-performance tracking, and payment reminders
- Nigerian business use cases: cake orders, fashion order tracking, school admissions, and real-estate inquiries
Day 3 · Practical Application & Assessment
- Activity: build a Lead Responder Automation in which a form submission triggers an AI-generated email reply
- Quiz: automation logic, workflow structure, and if/then systems
- Assignment: design and build a three-step workflow for school administration, small-business operations, or personal productivity
- Portfolio: workflow diagram, screenshots, demo, and logic explanation
04
Week 4: AI Assistants & Intelligent Systems Design
Concepts · Guided practice · Assessment
+
Day 1 · Building AI Assistants
- What AI assistants are; creating custom GPTs; knowledge-base systems
- Instruction engineering, AI memory, and context
- Hands-on: build an AI study assistant, business assistant, customer-support bot, or content assistant
Day 2 · Intelligent System Design
- AI systems for operations, customer support, and marketing workflows
- Systems thinking and designing reliable workflows
- Guided design: school support system, AI-powered vendor assistant, church communication system, or clinic inquiry assistant
- Nigerian applications: JAMB preparation, school-fee reminders, WhatsApp customer support, and business FAQ systems
Day 3 · Practical Application & Assessment
- Activity: design a complete Support Bot Flow for a Nigerian organization
- Quiz/review: assistant instructions, knowledge sources, workflow reliability, and user needs
- Assignment: submit a system-design diagram, workflow architecture, AI-logic explanation, and proposed business impact
- Portfolio checkpoint: select and scope a capstone problem; the build and final presentation take place in Weeks 7–8
05
Week 5: Advanced Workflow Design, Data & APIs
Concepts · Guided practice · Assessment
+
Day 1 · Data Handling for Automation
- Working with structured versus unstructured data
- Designing clean data fields, forms, tables, and records in Google Sheets or Airtable
- Data validation, deduplication, formatting, and mapping fields between applications
- Hands-on: build a clean intake-to-tracker workflow for a school or small business
Day 2 · Webhooks, APIs & App Connectivity
- What APIs and webhooks do in an automation system
- Understanding requests, responses, payloads, authentication concepts, and common errors at a beginner-friendly level
- Connecting supported apps using native integrations, webhook modules, or documented API connectors
- Guided practice: pass form data to another service and handle a successful response or an error
Day 3 · Practical Application & Assessment
- Activity: build a data-aware multi-step workflow that validates an input, routes it, and records the result
- Quiz: data quality, field mapping, API/webhook concepts, and troubleshooting
- Assignment: submit a workflow diagram, sample data, field map, and screenshots of a successful test
- Portfolio deliverable: documented data integration workflow
06
Week 6: Reliability, Testing, Security & Deployment
Concepts · Guided practice · Assessment
+
Day 1 · Testing and Troubleshooting AI Workflows
- Testing triggers, actions, branching, and edge cases
- Reading run histories and logs; identifying failed steps and retrying safely
- Testing AI outputs for accuracy, consistency, and instruction adherence
- Hands-on: diagnose and repair a deliberately broken workflow
Day 2 · Responsible AI, Privacy & Human Oversight
- Privacy-conscious handling of customer, student, and business information
- Access permissions, secure credential handling, and least-privilege principles
- Bias, hallucinations, limitations, and when human review is required
- Designing approval steps, fallback messages, and escalation paths
Day 3 · Deployment Readiness & Course Assessment
- Create a simple deployment checklist, user guide, and maintenance plan
- Estimate time saved, error reduction, operating costs, and expected user impact
- Final lesson assessment: demonstrate a tested workflow and explain its limitations
- Pre-capstone checkpoint: confirm project problem, users, success measures, tools, scope, and build plan
02 / Capstone project · Weeks 7–8
07
Week 7: Capstone Project — Build & Integration
Project work · Review · Demonstration
+
Day 1 · Project Setup & Core Build
- Reconfirm the problem statement, target users, requirements, and success measures
- Set up the project workspace, data structure, prompts, assistant instructions, and workflow diagram
- Build the minimum viable solution and test each component independently
Day 2 · Integration & Instructor Review
- Connect the required apps using supported native integrations, Zapier, Make, Google Workspace, Airtable, or WhatsApp Business where available
- Add conditions, data handling, notifications, human approval, and fallback paths as appropriate
- Instructor/peer review: inspect progress, identify blockers, and prioritize fixes
Day 3 · Functional Test & Progress Demo
- Run end-to-end tests using realistic sample data
- Record test cases, results, known limitations, and issues requiring correction
- Submit a progress demo, workflow architecture, and short build log
08
Week 8: Capstone Project — Testing, Refinement & Demo Day
Project work · Review · Demonstration
+
Day 1 · Testing & Optimization
- Test normal cases, edge cases, and failure scenarios
- Troubleshoot workflow failures and improve AI response quality and automation accuracy
- Collect evidence of performance, such as completion time, error rates, or user feedback
Day 2 · Documentation & Presentation Preparation
- Prepare a clear user guide, workflow diagram, screenshots, and demo recording
- Summarize the problem, solution, tools used, safeguards, limitations, and measurable impact
- Prepare presentation slides and rehearse a reliable live or recorded demonstration
Day 3 · Final Presentation & Demo Day
- Present the problem statement and intended users
- Demonstrate the working system and explain the AI workflow and integrations
- Report testing results, time-saving or efficiency gains, and business/educational impact
- Discuss limitations, future improvements, and answer review-panel questions
Capstone submission checklist
- Problem statement, target users and measurable success criteria.
- Working AI-powered system and an end-to-end demo.
- Workflow or system architecture diagram and screenshots.
- Test cases, results, known limitations and safeguards.
- User guide or operating notes.
- Presentation slides and demo recording.
- Impact summary: time saved, fewer manual steps, accuracy or user feedback.
Student portfolio requirements
- 3 automation workflows.
- 2 AI assistants.
- 1 content automation system.
- 1 intelligent workflow integration.
- 1 capstone project.
- Presentation slides, demo recordings and workflow diagrams.
Take the next step
Build useful systems. Show measurable impact.
Learn the tools, connect your workflows and complete an automation project you can demonstrate.
Proceed to Registration
