Artificial intelligence

1. What is artificial intelligence?
2. Data and useful statistics
3. Machine learning
4. Neural networks and deep learning
5. Large language models
6. Generative AI: image, sound, video
7. Limits, risks, ethics and regulation
8. AI in Africa and AI careers

Key labs

• Tokens, next word and context
• Data, statistics and Bayes
• Training and evaluating a classifier

1. The landscape: what generative AI does, and what it does not
2. The art of prompting
3. Writing, summarising, translating, rephrasing
4. Analysing documents and data
5. Researching and checking
6. Creating: presentations, images, visuals
7. Productivity and no-code automation
8. Trust, confidentiality and your personal method

Key labs

• Graded prompt workshop
• Text before / after
• Analysing a long document

1. Landscape and method: AI within reach of a small business
2. Starting and funding: market, business plan, credit
3. Selling and getting known on a small budget
4. Serving and retaining: WhatsApp, reviews, customer book
5. Managing: cash book, stock, quotes, invoices and cash flow
6. Recruiting, organising, staying safe — and automating

Key labs

• 24 ranked use cases
• Market, break-even, business plan
• Small business prompt workshop

1. Python for data
2. Preparing and exploring data
3. Essential statistics and probability
4. Regression: predicting a number
5. Classification: predicting a category
6. Trees, forests and gradient boosting
7. Unsupervised learning
8. Validating without fooling yourself: validation, features, leakage
9. Neural networks and deployment
10. End-to-end project: Néré’s default score

Key labs

• Python and pandas workshop
• Clean, explore, test
• Regression: from the line to regularisation

1. Calling a language model through an API
2. System prompts and structured outputs
3. Embeddings and search
4. RAG: answering from your own documents
5. Tools and agents
6. Evaluating an AI application
7. Security, data and compliance
8. In production: latency, cost, deployment, observability
9. AI under African constraints, and the final project

Key labs

• Model API simulator
• Structured outputs and JSON schema
• Semantic, lexical and hybrid search

1. Where AI creates value
2. Prioritising use cases
3. Business case and return on investment
4. Data: quality, ownership, governance
5. Build, buy or partner; AI procurement and contracts
6. Organisation, skills and change management
7. Risk, compliance and acceptable-use policy
8. Steering, scaling and building the roadmap

Key labs

• Use-case prioritisation matrix
• Costed business case
• Data diagnostic

1. AI in the finance function: use cases, data and rules
2. Finance prompts and verified financial analysis
3. Accounting, close and management control
4. Credit and risk
5. Compliance, fraud and audit
6. Project: automating a real finance task

Key labs

• Twenty-four ranked use cases
• Finance prompt workshop
• Verified financial analysis

1. Landscape and method: where AI helps marketing, sales and customer service
2. Knowing your customers: personas, segments, verbatims, research
3. Creating: content, campaigns and tests
4. Selling: prospecting, scoring and CRM
5. Serving: customer service and chat assistants
6. Retaining, pricing, governing — and automating

Key labs

• 25 ranked use cases
• RFM segments and verbatims
• Marketing prompt workshop

1. Landscape and method: AI across the employee lifecycle
2. Recruiting: job ads, sourcing and screening
3. Assessing and deciding: interviews, tests and red lines
4. Onboarding and learning: induction, training plans, content
5. Managing and developing talent: performance, climate, pay
6. Governing and automating: monitoring, compliance, project

Key labs

• 25 ranked HR use cases
• HR prompt workshop
• Screening and bias audit

1. Landscape and method: where AI helps teachers and trainers
2. Preparing lessons with AI
3. Differentiating, making accessible, teaching in several languages
4. Assessing: creating, marking, helping learners progress
5. AI in learners’ hands: integrity, learning, critical thinking
6. Steering, governing — and automating

Key labs

• 25 ranked use cases
• Teaching prompt workshop
• Preparing: curriculum, large classes, offline

1. Landscape and method: where AI helps lawyers, compliance and public administration
2. Research and verification: sources, hallucinations, dated law
3. Drafting and reviewing: deeds, contracts and clauses
4. Compliance: regulatory watch, AML/CFT and personal data
5. Public administration: citizens, case files and public procurement
6. Governing: accountability, fairness, security — and automating

Key labs

• 25 ranked use cases
• Checking sources
• Legal prompt workshop

1. Landscape and guardrails: where AI helps in healthcare
2. Clinical documentation and administrative tasks
3. Clinical decision support: evidence and validation
4. Imaging, screening, alerts and tele-expertise
5. Patients, communities and public health
6. Pharmacy, research, governance — and automating

Key labs

• 24 ranked use cases
• Clinical documentation
• Healthcare prompt workshop

1. Landscape and method: AI in the field, data and rules
2. Agriculture: yields, diseases, irrigation and advice
3. Energy: forecasting output and demand, operating, reducing losses
4. Industry: predictive maintenance, quality and assistants
5. Safety, logistics and plant energy
6. Project: automating a real task of the trade

Key labs

• 25 ranked use cases
• Field prompt workshop
• Yield, diseases and irrigation

1. Landscape and method: where AI helps newsrooms, communications and creative work
2. Writing and editing with AI
3. Verifying: facts, images, deepfakes and disinformation
4. Creating: visuals, audio, video
5. Distributing and engaging: social media, press relations, crisis
6. Law, ethics, bias — and automating

Key labs

• 25 ranked use cases
• Newsroom prompt workshop
• Checking facts and quotes