Full-time Hybrid
Online + in-person | Mon–Fri | 8am–5pm EAT
Physical classes: Applewood Adams, 13th Floor, Ngong Road, Nairobi.
Tuition
Apply KES 45,000
Back to programmes
Build digital products
Software Engineering
A practical route into software engineering for learners who want to understand how digital products are planned, built, tested, and improved.
Duration
16 weeks
Next intake
October 1st, 2026
Learning format
Guided practice, mentor feedback, and project work
The LEA learning experience
A practical pathway for real progress.
A practical route into software engineering for learners who want to understand how digital products are planned, built, tested, and improved. Leave with a portfolio-ready project, a clearer technical vocabulary, and a repeatable way to keep building.
HTML/CSS + TypeScript
Python for data & AI
Portfolio projects
Flexible ways to learn
Choose your learning rhythm.
Pick the rhythm that gives you the clearest space to learn, practise, and keep moving.
What you will build
Leave with work people can see and use.
Move your cursor over a poster to see the build, tools, and portfolio evidence.
Project 01
WEB PRODUCT
Community services directory
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WEB PRODUCT
Community services directory
A responsive, searchable directory for local learning, health, or business services with accessible forms and mobile-first layouts.
TypeScript UIHTML/CSSSearch and filters
Evidence: Published URL, repository, content model, accessibility check, and user feedback.
Project 02
PAYMENTS
Daraja payment simulator
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PAYMENTS
Daraja payment simulator
A safe enrolment checkout that models STK Push request, pending, success, failure, timeout, duplicate callback, receipt, and admin reconciliation states.
Safaricom Daraja sandbox or mockREST APISQL audit trail
Evidence: State diagram, test matrix, simulated receipts, security checklist, and no-real-money demo.
Project 03
OPERATIONS TOOL
Google-connected operations tool
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OPERATIONS TOOL
Google-connected operations tool
A staff dashboard that reads approved Google data such as Calendar events, Drive files, or Sheets rows and turns it into a useful workflow.
Google OAuthGoogle Sheets/Drive/Calendar APIsPython service or TypeScript API route
Evidence: API contract, consent and scope note, mocked fallback, error handling, and deployment README.
Project 04
AI PRODUCT
AI-integrated learning portal
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AI PRODUCT
AI-integrated learning portal
A full-stack learner-support feature with a TypeScript interface and Python service that answers from approved information, cites sources, and escalates uncertainty.
Python AI serviceApproved knowledge baseStructured model output
Evidence: Evaluation set, red-team examples, human-review policy, demo, and retrospective.
API work starts with mocks and sandboxes. Daraja projects never handle real money in class. Google device-management examples use mock devices or read-only test data; learners do not lock, wipe, or change real devices.
Inside the pathway
Curriculum breakdown.
6 modules · 1 break included
Weeks 1–2
Digital foundations
Weeks 1–2
Digital foundations
Start with how the web works, semantic structure, modern CSS, developer tools, Git, and a reliable workflow for learning by doing.
Build project
Build an accessible LEA learner profile page and publish a README explaining your choices and AI-use boundaries.
Covers:HTML & CSSHow the web worksGit & GitHubAccessibility
Weeks 3–5
TypeScript web products
Weeks 3–5
TypeScript web products
Turn ideas into clear, responsive interfaces with typed data, browser interaction, forms, and component thinking.
Build project
Build a responsive community services directory that works on a phone and desktop.
Covers:TypeScriptResponsive CSSDOM & eventsAccessible UI
Weeks 6–8
APIs & data products
Weeks 6–8
APIs & data products
Connect a product to real services and learn how to reason through state, validation, provenance, and failure.
Build project
Build a live conditions or community-information dashboard with loading, empty, error, and retry states.
Covers:HTTP & JSONAsync TypeScriptAPI contractsData quality
Week 9
Mid-programme reset
Week 9
Mid-programme reset
Pause, review your progress, get mentor feedback, and return with a sharper plan for the backend build.
Build project
Complete a portfolio review, prioritised backlog, and mentor feedback record before the backend build.
Covers:Rest & reflectionPortfolio check-inMentor review
Weeks 10–12
Python, backend & data
Weeks 10–12
Python, backend & data
This stage explains the systems behind a digital product. You will build routes and services, work with data, validation, authentication concepts, and error handling, then understand how a backend communicates with the frontend to support a secure and dependable product.
Build project
Build a learner-enrolment data service with a data dictionary, validation, and endpoint tests.
Covers:PythonData cleaningSQLAPI services
Weeks 13–14
AI-integrated full stack
Weeks 13–14
AI-integrated full stack
Connect a TypeScript interface to a Python AI service, then evaluate, secure, and explain the resulting product behaviour.
Build project
Build a learner-support feature grounded in approved information with citations, uncertainty handling, and escalation.
Covers:AI-assisted engineeringStructured outputEvaluationHuman review
Weeks 15–16
Capstone & portfolio
Weeks 15–16
Capstone & portfolio
Bring the full journey together in a guided capstone and shape a clear story around the product, evidence, and trade-offs.
Build project
Ship a community learning operations portal combining catalogue, enrolment, progress, payments, and an admin dashboard.
Covers:Product scopeDeploymentTestingPortfolio story