Full-time Hybrid
Online + in-person classes | Mon–Fri | 8am–5pm EAT
Physical classes: Applewood Adams, 13th Floor, Ngong Road, Nairobi.
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Work thoughtfully with AI
Applied AI
A grounded introduction to applied AI that helps learners move beyond the hype and use intelligent tools with clarity, care, and practical intent.
Duration
12 weeks
Next intake
October 1st, 2026
Learning format
Experiments, guided studio work, and feedback
The LEA learning experience
A practical pathway for real progress.
A grounded introduction to applied AI that helps learners move beyond the hype and use intelligent tools with clarity, care, and practical intent. Leave with a small library of useful workflows, stronger judgement, and a practical point of view on responsible AI use.
AI foundations
Practical workflows
Responsible use
Flexible ways to learn
Choose your learning rhythm.
Pick the rhythm that gives you the clearest space to learn, practise, and keep moving.
Inside the pathway
Curriculum breakdown.
5 modules · 1 break included
Weeks 1–2
AI in plain language
Weeks 1–2
AI in plain language
Build a useful mental model of modern AI systems, their strengths, limits, and everyday applications.
Build project
Create an AI use-case map comparing a manual process, a rules-based tool, and an AI-assisted workflow.
Covers:AI vocabularyModels & dataUse-case mappingLimits
Weeks 3–5
Prompt & workflow design
Weeks 3–5
Prompt & workflow design
Turn repeated tasks into clearer, more reliable workflows that support research, writing, and decisions.
Build project
Design an admissions or support workflow assistant that produces structured drafts and next actions from a fixed test set.
Covers:Prompt structureContext designReusable workflowsQuality checks
Week 6
Studio reset
Week 6
Studio reset
Step back from the tools, review what is working, and get feedback before moving into responsible practice.
Build project
Audit the workflow, remove unnecessary automation, and document the revised human review step.
Covers:Rest & reflectionWorkflow reviewMentor check-in
Weeks 7–8
Research & verification
Weeks 7–8
Research & verification
Use AI to accelerate exploration without outsourcing judgement, accuracy, or the responsibility to verify.
Build project
Produce a source-backed research brief with an evidence table, corrections log, and uncertainty notes.
Covers:Research promptsSource checkingFact verificationDecision notes
Weeks 9–10
Responsible AI practice
Weeks 9–10
Responsible AI practice
Explore privacy, bias, safety, and the judgement needed to use intelligent tools with care.
Build project
Review a fictional learner-support workflow for privacy, bias, unsafe decisions, and escalation requirements.
Covers:PrivacyBias & fairnessSafetyHuman oversight
Weeks 11–12
Applied AI studio
Weeks 11–12
Applied AI studio
Design, test, and present a small AI-supported project connected to a meaningful real-world outcome.
Build project
Build a human-in-the-loop learner support assistant grounded in approved information with citations and escalation.
Covers:Project briefPrototypeTest & refineShowcase