Objectives
- Identify processes an agent can automate
- Design an agent: tools, memory, safeguards
- Connect an agent to data and APIs
- Evaluate and supervise an agent in production
Curriculum
- From assistants to agents4 h
- Agent architecture7 h
- Tools, APIs and data (RAG)8 h
- Safeguards, security, supervision6 h
- Project: your first agent10 h
Audience & prerequisites
Audience: Project managers, developers, analysts, innovation leads.
Prerequisites: Prompt Engineering or equivalent experience; some Python is a plus.
Tools used
PythonAgent frameworksLLM APIs
Assessment and certification
The programme ends with a practical project assessed by a panel of practitioners. Passing it earns the Africa Data Entry certificate « AI Agents ».
Enrolment
An advisor will contact you within 48 hours to confirm your enrolment and funding.