Three foundation courses taken by every learner, and three specialist courses for those pursuing the ADBOK data workforce pathway. Every course produces a portfolio artefact and a verifiable IntelliScan certificate.
Two courses are open for enrolment today; the remaining four open in phases through 2026.
Can't wait? 49 courses are already live on the AI Campus — including AI for Business Leaders, AI for Healthcare, and the full AI Governance Academy.
AIC-DL-101
Enrolling now · 4 weeks
AI Foundations
KSh 850 launch price · KSh 2,900 standard
Enrol in AI Foundations — KSh 850
A plain-language introduction to artificial intelligence built for learners with no prior technical background. Learn what AI is and is not, how machine-learning models are trained, how AI is being deployed across Kenyan banking, health, agriculture, and government, and how to evaluate AI claims you encounter in business.
By the end of this course you can
- Explain in plain English what AI is and how machine learning differs from traditional software.
- Identify three concrete ways AI is deployed in a Kenyan sector relevant to your career.
- Distinguish hype from substance when reading AI news, vendor pitches, or policy claims.
- Articulate the main ethical and bias risks AI introduces in African contexts.
AIC-DL-102
Enrolling now · 6 weeks
AI Tools for Work
KSh 1,650 founding · KSh 2,900 standard
Enrol in AI Tools for Work — KSh 1,650
Hands-on, professional use of ChatGPT, Claude, Gemini, and Microsoft Copilot. Learn to write effective prompts, build repeatable AI-assisted workflows for writing and analysis, recognise hallucinations and verify outputs, and apply AI to discipline-specific tasks.
By the end of this course you can
- Use leading generative AI tools effectively for writing, research, summarisation, and analysis.
- Construct prompts that reliably produce accurate, on-brief outputs across professional tasks.
- Recognise when an AI output is wrong, incomplete, or hallucinated — and verify before use.
- Apply AI tools to a workflow specific to your discipline.
AIC-DL-103
Enrolling now · 6 weeks
Data Reasoning for the AI Era
KSh 2,900 founding · KSh 4,600 standard
Enrol in Data Reasoning — KSh 2,900
A practical course in data literacy for non-technical professionals. Ask the right questions of dashboards and reports, distinguish correlation from causation, work confidently with spreadsheets and BI tools (Power BI, Tableau, Looker), and use AI to accelerate — but not replace — human judgment.
By the end of this course you can
- Distinguish correlation from causation and spot common pitfalls in dashboards and reports.
- Use spreadsheets and modern BI tools to summarise and visualise real datasets.
- Brief an AI tool on a data analysis task and validate its result against the underlying data.
- Frame a decision question, identify the data needed, and judge the quality of available evidence.
— Specialist Track —
For learners entering the AI data workforce.
The three courses below map directly to ADBOK AAP, CADE, and CADO — the credentials AI labs and BPOs already recognise. Together they form the AI Data Practitioner Stack.
AIC-DL-201
Specialist · Opens later in 2026
Introduction to AI Data Annotation
KSh 3,750 founding · KSh 6,250 standard
The entry course for Kenyans on Remotasks, Outlier, DataAnnotation, Toloka, and similar platforms. Image labeling, text classification, audio transcription, instruction following, and the quality standards that distinguish high-paid annotators from low-paid ones.
By the end of this course you can
- Apply the ADBOK annotation workflow framework to image, text, and audio labeling tasks.
- Interpret complex annotation guidelines accurately and identify ambiguity early.
- Recognise edge cases and escalate appropriately when guidelines do not cover them.
- Achieve gold-standard quality calibration on a representative annotation task.
AIC-DL-202
Specialist · Opens later in 2026
AI Model Evaluation & RLHF
KSh 5,400 founding · KSh 7,900 standard
Evaluate the outputs of large language models, image generators, and conversational AI with the rigour global labs require. Response ranking, hallucination detection, harm and bias identification, RLHF protocols — the skill that distinguishes $5-an-hour annotators from $20-an-hour evaluators.
By the end of this course you can
- Apply structured evaluation rubrics to LLM and generative AI outputs with consistent judgment.
- Identify hallucinations, factual errors, bias, and safety risks in AI responses.
- Conduct reliable response-ranking and preference judgments for RLHF pipelines.
- Calibrate evaluation work against gold-standard rubrics to a level acceptable to global AI labs.
AIC-DL-203
Specialist · Opens later in 2026
AI Data Operations & Quality Management
KSh 5,400 founding · KSh 7,900 standard
Design, run, and improve AI data workflows at scale. Task allocation, throughput, inter-annotator agreement, QA frameworks, vendor and team performance monitoring — built around the ADBOK Operations & Governance framework. Capstone: design a complete annotation programme.
By the end of this course you can
- Design end-to-end AI data workflows including task allocation, instruction development, and quality gates.
- Build QA frameworks using inter-annotator agreement and gold-standard calibration.
- Monitor production performance and intervene when throughput or quality declines.
- Defend a complete annotation programme design to an external industry panel.