The AI Engineer’s Stack in 2026: Tools, Systems & Real Workflows Behind Production AI

​The AI Engineer's Stack in 2026: Tools, Systems & Real Workflows Behind Production AI

​The gap between knowing AI and building AI has never been more critical — or more visible.

​In 2026, AI engineering isn't about prompting a model and hoping for the best. It's about designing systems that hold up in production: agents that reason and act reliably, pipelines that scale, models that are fine-tuned for real business contexts, and deployments that teams can actually maintain.

​This session cuts through the hype and gets into the stack.

​Join Dennis Kevogo, Applied AI Engineering Instructor at Moringa School and MSc Applied AI Engineering graduate (with Distinction, UK), for a practitioner-led deep dive into what modern AI engineering actually looks like — from the tools on your laptop to the infrastructure powering enterprise-grade deployments.

​What we'll cover:

• ​The 2026 AI engineer's toolkit: what's worth learning, what's already outdated

• ​AI agent building & orchestration — how production agents are structured

• ​LLM fine-tuning in practice: when to do it and how to do it right

• ​Computer vision & MLOps workflows used in real enterprise environments

• ​Lessons from the field: AI transformation sprints inside large organizations

​Whether you're a developer leveling up, a team lead evaluating your stack, or an engineer making the leap into AI — this is the session that bridges theory and the real world.

​Brought to you by Moringa School — training Africa's next generation of world-class engineers.