AI for Developers is a six-week technical course for engineers, data scientists, ML practitioners and tech leads who want to build with AI competently in 2026. The course assumes you understand what AI is at a conceptual level (AI Foundations) and have used AI tools personally (AI Tools for Work), and takes you from there into how AI systems are actually engineered: foundation-model APIs, prompting at production quality, retrieval-augmented generation, agents and tool use, fine-tuning and small models, and the operational discipline — evaluation, observability, safety and compliance — that separates demos from systems people depend on. Every module is grounded in code-level decisions, real cost numbers, and the Nigerian developer’s reality of bandwidth, naira budgets, vendor availability, and the Nigeria Data Protection Act. You will leave this course able to design and ship an AI-powered feature, defend the choices you made, and operate it responsibly in production.
Prerequisites: AI Foundations (AIF-101) and AI Tools for Work (AITW-101), or equivalent. You should also be a working software engineer or data scientist — comfortable reading and writing code in at least one mainstream language (Python or JavaScript/TypeScript recommended), comfortable with REST APIs, the command line, and git. This is not a programming primer.
- Teacher: Steve Onu